The program division “Structure Formation” investigates how molecules, polymers and colloidal particles join to form materials. It studies fundamental processes of structure formation and applies them to prepare new materials from liquid precursors.
We study how the properties of composite and hybrid materials depend on their microstructures and how to change them. To this end, we systematically vary size, geometry, chemical composition, and arrangement of the materials’ constituents. We observe how microstructure and interfaces form and affect material properties to create transparent conductive layers of metal nanoparticles for electronics, composites of conductive polymers with optically active particles for sensors and supraparticles that contain optically active nanoparticles, for example. We see particles as the basis of future “active nanocomposites” that can interface with electronics and change their properties whenever required.

Team Members


























Cooperation
INM Fellowship project with Prof. Nico Voelcker, Monash University in Melbourne
The aim of this project is to establish a collaboration for Responsive Release Materials that will focus and enhance the collaboration between the Leibniz Institute for New Materials (INM) and the Melbourne Centre for Nanofabrication (MCN) in Australia.

Nanomaterials can enhance the delivery of therapeutics to diseased tissues or cells, for example if their size and shape are suitable for cell internalization, or via their large specific surface area. Here, we combine this principle with the ability of gold nanoparticles to be heated at a distance with electromagnetic radiation. The resulting heat can be exploited to kill pathogens or cancer cells, or make them more susceptible to conventional drug treatment. Gold nanoparticles will be integrated into larger porous silicon particles in order to design multi-stage drug delivery platforms. The program leverages complementary expertise in bottom-up materials synthesis at the INM and cutting-edge nanofabrication techniques available at the Melbourne Centre for Nanofabrication.
Current Projects
3D-ConAn: Quantitative analysis of 3D conductive network structure in composites
3D-ConAn: Quantitative analysis of 3D conductive network structure in composites
In this project, we fabricate stretchable, conductive polymer composites (CPCs) based on silver particles. The particles are dispersed in an elastomer matrix. Above the percolation threshold, the material becomes conductive as a long-range network is formed. We analyse the 3D structure of the network by Focused Ion Beam – Scanning Electron Microscopy (FIB-SEM) tomography and correlate microscopic network metrics with macroscopic conductivity of the material. Furthermore, electromechanical tensile/compression tests are performed, and the network structure is correlated with material’s dynamic behaviour. As a model material we use spherical silver particles in a polydimethylsiloxane (PDMS) matrix.

SensIC: Stretchable electronic materials for product-integrated printed sensors
Makara Lay & Thomas Kister: SensIC
In this project, INM develops new materials for printable temperature sensors and their mechanically flexible connection. Inks and pastes for inkjet and screen-printing technologies are prepared based on mixtures of molecular, nanoscale, and microscale components that form functional structures and require little or no sintering. The molecular nature of the internal interfaces is studied and modified in order to enable reliable performance upon mechanical cycling. Close collaboration with the partners Continental and KIT guarantees the compatibility of the materials with suitable processing. In addition, INM investigates encapsulation materials that add security and unalterable device identification in collaboration with the partner Polysecure.

AdRecBat: Recyclability-by-Design for Lithium Ion Batteries
Bettina Zimmer & Qijun Xie: AdRecBat
In light of the growing demand for lithium-ion batteries and limited supply of key raw materials, there is an urgent need for efficient and sustainable recycling. In traditional (indirect) recycling, battery modules are thermally disintegrated or shredded before being processed pyro- or hydrometallurgically. This requires a lot of energy and/or chemicals, and some compounds (e. g. cathodic active material) and elements (e. g. lithium in the case of pyrometallurgy) cannot be recovered.
In AdRecBat (additive-based ‘design for recycling’ of lithium-ion batteries), we develop a recycling process for direct recovery of active materials: Battery components will not be destroyed but separated from each other with the aid of trigger additives. The latter will be designed and integrated such that
- they cause debonding through external stimuli (e. g. temperature, pH) at three key interfaces: (1) sealing seam of the pouch cell, (2) interface current collector foil-electrode and (3) interface active material-binder.
- good battery performance and safety are ensured.
We collaborate with the Fraunhofer Institute for Silicate Research in Würzburg (ISC) and the Friedrich-Alexander-Universität in Erlangen (FAU). At the INM, we prepare and investigate the effect of trigger additives (e. g. blowing agents, surfactants) for interfaces (2) and (3).

StableInK: Stabilization mechanisms of non-polar metal nanoparticles
Tobias Knapp – StableInK: Stabilization mechanisms of nonpolar metal colloids with thin organic shells
Metal colloids such as gold nanoparticles can be used as building blocks for a variety of applications (such as printable electronics or sensor technology). The main problem is the low stability of the inks, which causes the particles to precipitate during storage (agglomeration). The project will investigate the interactions between the different components of the dispersion (core, shell, solvent) to understand the underlying stabilization mechanisms. The project will develop model systems for the colloidal stability of non-polar nanoparticle dispersions.

LT-PhotoInk: Nanoparticle inks for easily sintering printed electronics
Gisela Heppe – LT-PhotoInk: Ag nanoparticle inks for photonic sintering of inkjet-printed structures on substrates with low thermal resistance
The aim of the project is to develop materials for electronics that can be printed by inkjet on more temperature-sensitive but therefore more cost-effective substrates. This also brings into focus carrier materials that are flexible or transparent, thus opening new areas of application. This is achieved by a photo-sintering process that can be carried out at low temperatures, which requires a special ink-jet ink which consists of silver nanoparticles. To achieve photo-sintering of the ink at low temperatures, the particle surface must be coated with suitable ligands, among other things. Under the chosen sintering conditions, this leads to a destabilization of the dispersion, allowing as many conductive contact paths as possible to be formed between the silver nanoparticles. In addition, nanoparticles of specific shapes and sizes are combined to optimize energy absorption in the sintering process. The aim is to achieve the conductivity of pure silver with the conductor paths printed in this way.
CompoAge: Ageing mechanisms of polyurethane nanocomposites
PU-composites
Nanoparticles influence the physical and the chemical properties of composite materials. In this project the influence of the amount of nanoparticles on the ageing behavior of polyurethane-based composites shall be investigated. Therefore, a polyurethane-based material is modified with different amounts of silica nanoparticles (0-30 wt.%). Because the dispersion of the silica nanoparticles within the matrix influences the material properties, ultramicrotome sections of the silica modified composites are prepared and the dispersion of the nanoparticles in the matrix is investigated by Transmission Electron Microscopy (TEM). To simulate the ageing, the silica modified composites are stored in a KOH-solution (20% ) at ambient temperature. Afterwards the influence of amount of silica nanoparticles is investigated by measuring the mechanical properties (determination of tensile strength and Young’s modulus by tensile tests and determination of microhardness) as well as the thermomechanical properties (determination of glass transmission temperature – Tg and Young’s modulus by Dynamic Mechanical Analyses – DMA and Differential Scanning Calorimetry – DSC) of the modified composites. Possible chemical changes are detected by IR-spectroscopy.
PALS: Plasmonically activated Living Materials
Selim Basaran – Infrared-activable Engineered Living Materials
Engineered Living materials (ELMs) are a type of advanced material that incorporates engineered living organisms (responsive function) into the material matrix (scaffold function). These materials are designed to exhibit biological functionality such as responsiveness to environmental stimuli to produce e.g. proteins or drugs.
We integrate gold nanorods in ELMs to design IR-sensitive Engineered Living Materials with biomedical applicable structures that can rapidly reach 39°C-44°C by plasmonic NIR light stimulation to induce protein or antibiotic production. The temperature profile is controlled by combination of IR thermography and thermocouples. The protein and drug production are quantified as a function of plasmonic stimulation by gold nanorods via ex situ fluorescence microscopy and ESI-MS.

BROADCAST: Stretchable conductors for dielectric actuators in soft robots
Lingyu Liu– Biomimetic robots autonomously driven by dielectric elastomers
Compared to traditional robots, soft robots are usually composed of soft stimuli–responsive materials, which make them have good adaptability and compliance and can interact with the environment. The soft stimuli–responsive materials commonly used in soft robots include dielectric elastomers (DEs), and multi-functional DEs with bio-inspired control strategies can achieve autonomous peristalsis, locomotion, and similar behavior. Nowadays, the improvement in soft robots is hampered by a lack of materials for such circuits and missing rules for design. In this project, we collaborate with soft robotic engineers to investigate novel, autonomously running electro-mechanical soft conductive materials for driving soft biomimetic robotic systems to predict the complex electro-mechanical behavior of those structures.

StableWires: Ligand shells and the shape stability of ultrathin nanowires
Yannic Curto: Project Stable Wires
Shape stability is an inherent limitation of ultrathin nanowires. Because a thin wire can break up into spheres due to a phenomenon is called Rayleigh-Plateau instability. It is not possible today to predict which nanowires remain structurally stable under which conditions. It is known, however, that the structural stability of ultrathin nanowires depends both on surface chemistry and solid structure. Ligands play a key role in the formation of highly anisotropic nanowires, and the same ligands contribute to structural stability. We study in this project the structural stability of chemically synthesized, ultrathin nanowires to identify the role of solid core material and molecular ligand shell in wire stability. Therefore, we synthesize different metal and semiconductor nanowires with very similar core diameters below 10nm and with different ligand shells.

InPrint-HyPoCo: Inkjet-Printable Hybrid Particle Polymer Composites
Michael Klos: Mechanically robust, sinter-free conductive particle-polymer-nanocomposites
The fast and cost-effective production of conductive electrodes and electrically conductive structures is of particular interest for RFID sensors or smart packaging. Thin layers can be printed with inkjet printing on different substrates to save material. These are often sensitive toward mechanical deformation or have a bad adhesion to the substrate. In addition, the often-needed thermal post-treatment limits the application.
In this project, we investigate the mechanical properties, as well as the adhesion of inkjet printed lines, of our hybrid sinter-free gold nanoparticle ink. We prepare nanocomposites of the PEDOT:PSS stabilized gold nanoparticles and various non-conductive polyvinyl alcohols. We investigate the influence of different molecular weights and degrees of hydrolysis of the polyvinyl alcohols on the mechanical properties and conductivity.

DigiBatMat: A digital platform for battery material data
Andriy Taranovskyy & Lisa Beran: DigiBatMat
The DigiBatMat project is a part of nationwide initiative of German Federal Ministry of Education and Research (BMBF)– Plattform MaterialDigital, which aims to digitize materials and the transformation of their properties during the technological production processes. Within this project, a digital platform of battery production process was developed that contains steps (raw materials mixing, electrode calendaring, cell assembly etc.) and items (raw materials, intermediate products, electrodes, cells etc.). The structure is filled with reference heterogenous data of the production process parameters as well as the battery materials properties, derived from various analytical methods that were performed on items at different stages of the production chain. All are linked in the database according to their position in the whole process chain. Besides structuring the data, the platform will include additional functionalities for data driven research, such as correlation analysis and machine learning. At the INM, we study the comprehensive effect of conductive additive properties (morphology, surface chemistry) together with the mixing speed during the dispersion step that effects its particle size distribution on the conductivity of battery electrodes and electrochemical performance of full cells. Representative data of multiple characterization methods, including (electro-)rheology, tomography, Boehm titration, light microscopy, SAXS, and more, is collected, analyzed and uploaded into the digital platform. This research is done in collaboration with our partners from Institute for particle technology (iPAT), Institute of Machine Tools and Production Technology (IWF), Aalen University, AWS – Institute for digital products and processes gGmbH and is located in the ProZell Competence Cluster at Project Management Jülich.

GreenPaste: Recyclable, low-sintering silver pastes for sustainable printed electronics
David van Impelen: Screen printing of silver pastes for sustainable printed electronics
One way of creating electronic components and circuits is by employing printing techniques. Some advantages of this include a wide range of substrate choice, introducing flexibility and facilitating recycling of the components. In this project we print pastes containing silver micro particles using a technique called screen-printing. To increase the conductivity, we heat up the prints to induce sintering of the silver microparticles. Sintering is a diffusion-based process leading to interconnection of the silver particles, which results in a higher conductivity of the printed layer of particles. At which temperatures this sintering process is induced depends on size, shape, and chemistry of the silver particles.

ARNIM II: dynamics and structure of agglomerating nanoparticles in mirogravity
Bart-Jan Niebuur: ARNIM II: dynamics and structure of agglomerating nanoparticles in mirogravity
Self-assembly of nanoparticle superstructures allow us to produce materials with well-defined geometries and, therefore, electrical and optical properties. This is very interesting for materials: For example, electrically conductive metal nanoparticles can be arranged in an insulating matrix to maximize or minimize conductivity, depending on whether a dielectric is required or a conductor. Unfortunately, this process is hindered by gravity: Larger arrangements of metallic particles are very filigree but heavy enough to be torn by their own weight so that, for example, connectivity and thus conductivity is lost.

Copyright: DLR
The ARNIM-II project, supported by the German Aerospace Center (DLR), addresses the question how gravity influences self-assembly of metallic nanoparticles. For this, an experimental setup is developed to investigate structural properties of dispersions on length scales ranging from 50 nanometer up to milimeters, combining three different optical experimental methods, which is suitable for flights on sounding rockets. On board a sounding rocket of the MAPHEUS-programm of the DLR (apogee ~250 km, which allows approximately 6 min of microgravity), we investigate the agglomeration of gold nanoparticles. The results will help to develop new strategies for bottom-up production methods for functional materials.
Biofunctional Inkjet-printable Au Sensor
Muniba Bhatti & Yannic Brasse
We discuss the synthesis and properties gold nanoparticle (AuNPs) inks that are conductive directly after deposition and can be functionalized with biological molecules. A conductive biopolymer (P3KHT) from the class of polythiophenes was immobilized on quasi-spherical gold nanoparticles with diameters of 74 ± 19 nm. Glucose oxidase (GOx) was covalently bound selectively to the functional carboxylate groups in the polymer side chains under mild reaction conditions. The coupling with EDC/NHS was performed in solution prior to deposition or on the surface of dropcasted AuNPs@P3KHT structures. In both cases, one amine group of GOx was covalently bound to the functional carboxylate groups. In future this ink should be used to fabricate electrodes with enhanced surface structure in order to improve the enzymatic signal in amperometric glucose sensing.

Figure 1. Schematic procedure of bioconjugation to the bioactive gold-polythiophene hybrid nanoparticles AuNPs@P3KHT, which can the performed (a) after film formation by deposition (surface bioconjugation) or (b) before deposition in the particle dispersion (solution bioconjugation).
ReIn-E: Recyclable integrated electronics
Ecological prudence and regulation of the European Union and national governments require an increasing level of recycling for electronics. While polymer-integrated electronics can reduce the amount of material used, the recovery of materials (metals and polymers) from integrated parts is more difficult than for conventional electronics. This constitutes a severe risk for the innovation, but it can be mitigated by well-informed material choice and design adaptation. To this end, ReIn-E will introduce, test, and optimize new materials for “release layers” as part of this design; ensure the reliability, performance, and market compatibility of the recyclable design; establish a “best practice” model cycle from the production of pastes through printing, molding, and metal recovery.
I-Seed
I-Seed: Distributed environmental sensing with sensor materials in soft robots
I-Seed unites bioinspired soft robotics, material science, and environmental science, with the aim of developing a new generation of self-deployable and biodegradable soft miniaturized robots that mimic the behavior of plant seeds. These robots, composed of artificial plant structures and sensor materials, are designed to monitor in-situ environmental parameters in air and topsoil, such as the presence of pollutants, moisture, CO2 levels, temperature, and water quality. Within this project, we are engineering fluorescent sensor materials whose optical properties are dependent on environmental factors. All these fluorescent materials will be chosen for their degradability and environmental compatibility.

ARNIM: Agglomeration Of Nanoparticles in Microgravitation
Modern methods of “self-arrangement” allow us to produce larger structures from nanoparticles whose geometry is defined to a certain degree. This is very interesting for materials: for example, electrically conductive metal nanoparticles can be arranged in an insulating matrix to maximize or minimize conductivity, depending on whether a dielectric is required or a conductor.
Unfortunately, gravity gets in the way here: larger arrangements of metal particles are very filigree but heavy enough to be torn by their own weight so that, for example, connectivity and thus conductivity is lost. In the ARNIM project, supported by the German Aerospace Center (DLR), we are investigating whether this can be prevented by switching off gravity. To do this, we first use a drop tower (ZARM in Bremen) and “throw” agglomeration experiments in such a way that gravity is eliminated for a few seconds. In the future, experiments on board rockets or the international space station are also planned, which will allow longer agglomeration experiments.
If it turns out that the agglomerates are actually destroyed by their weight, we have to strengthen them – for example by using nanowires. But it could also be that it is not gravity at all, but details of the agglomeration process. These questions are therefore at the heart of the project.
AGGLOSENSE: MEASURING MECHANICAL DEFORMATION WITH CONDUCTIVE NANOCOMPOSITES
Normally, composites of elastomers and conductive carbon particles are used if the material is to be and remain conductive. This is, for example, how antistatic shoe soles or gaskets are produced. In the DFG-funded AggloSense project, we want to achieve the opposite: maximum change in electrical conductivity during deformation.
In cooperation with Professor Tanja Schilling from the University of Freiburg, we are investigating what the conductivity of such composites depends on. Carbon particles (so-called “carbon black”) are in fact not spheres, but very complex agglomerates with often fractal structures. In the material they touch each other in a way that is difficult to predict. By comparing the structure of specifically produced materials with simulated arrangements and measurements of conductivity with and without deformation, we hope to find out how the change in conductivity can be made large.
Confelcon: Conformal Electrical Contacts

Connecting biological objects with electronics requires soft electrical contacts. To that end, we explore the fabrication of micro-fibrillar adhesion devices from electrically conductive materials. Detailed characterization of these devices reveals the relationship between adhesion properties and electrical resistivity. Their application as electrically tunable devices is also explored.
ActiN: Active nanocomposites
Embedded nanoparticles lend today’s nanocomposites useful properties such as color, strength, or a high refractive index. Their arrangement affects these properties but does not usually change after material synthesis because the particles are bound too strongly in the matrix. We investigate nanocomposites in which metal nanoparticles can move and reorganize in reponse to a stimulus. Thus, the color or other properties of the composite change. In this project, we synthesize model particles and study how they can be embedded such that they retain a certain mobility.

IMPROVe-STEM: New materials for the proliferation and expansion of stem cells
This interdisciplinary project aims at the scalable growth of mesenchymal stem cells using new carrier materials for proliferation. In collaboration with cell biologists, biochemists, chemists and material scientists, we modify surfaces of microspheres so as to increase cell adhesion, help cell proliferation and allow for their easy detachment from these microbeads. The materials-oriented part of the project involves surface characterization of beads which are about 100 µm in size followed by their surface modification such as by polymer graft, plasma activation, and changing surface roughness and surface charges. The project is a part of “European territorial cooperation” INTERREG.



HYBDI: Hybrid Dielectric Layers
In addition to conductive layers, dielectric layers are also required for printed electronics, e.g. for capacitor elements. Pure polymer layers show a limited polarization in the electric field and hence a relatively low dielectric constant. We investigate hybrid layers of gold nanoparticles separated by insulating ligands. On the one hand, the polarization capability of the hybrid material and the dielectric constant of the layer are to be increased by the metallic particles. On the other hand, a charge transport between the nanoparticles and the failure of the dielectric layer is to be prevented.

Completed Projects
IGLU: INKJET PRINTING OF RFID ANTENNAS ON PAPER WITH HYBRID INKS
In the NanoSpekt project, we developed sinter-free hybrid inks to apply electrical conductors to sensitive surfaces without sintering – including paper and cardboard. In this project, in cooperation with the Papiertechnische Stiftung (PTS), we are investigating how this material can be used to print RFID antennas for contactless identification of packaging directly on carton.
Paper and cardboard are very important, but also difficult substrates: their surface is porous, and during printing the ink penetrates, making the electrical conduction more difficult. Furthermore, paper begins to curl when heated too much and cartons are folded, which can easily damage conductive structures. Therefore, in this AiF-funded cooperation, we are investigating how to make the connection between the cardboard and the ink strong enough – and how to incorporate additional functions into cartons, preferably directly at the manufacturer.
NanoSpekt: Transparent conductive materials based on nanoparticles
Flexible and printed electronics require new materials. Here, we focus on optically transparent materials for the electronics of the future. This BMBF-funded research project, a part of the NanoMatFutur initiative, uses nanoparticles with defined shapes and arrangements inside polymers to make transparent electrodes for touch-screen display or solar cells, for example. Chemists, material scientists and an engineer collaborate very closely to create new materials that can be processed with well-established wet coating and printing techniques.

SteelParticles: Colloidal characterization of particles from steel
Microalloyed steels contain carbonitride nanoparticles which are responsible for their compelling mechanical properties and good weldability.
In cooperation with the Dillinger Hütte, a steel mill in Saarland, we are investigating the size distribution, chemical composition and morphology of the particles contained in the provided steels. Particle analysis is performed using methods that we developed for colloidal particles and that are not usually employed in metallography.

Publications:
- Hegetschweiler et al., J. Mater. Sci., 2019, 54, 5813-5824. DOI: 10.1007/s10853-018-03263-0
- Hegetschweiler et al., Anal. Chem., 2019, 91, 943-950. DOI: 10.1021/acs.analchem.8b04012
- Hegetschweiler et al., Part. Part. Syst. Charact., 2021, 38, 2000236. DOI: 10.1002/ppsc.202000236
- Meili-Borovinskaya et al., J. Chromatogr. A, 2021, 1641, 461981. DOI: 10.1016/j.chroma.2021.461981
- Webel et al., Ultramicroscopy, 2021, 223, 113219. DOI: 10.1016/j.ultramic.2021.113219
AggloTox: Agglomeration of nanoparticle-protein mixtures
Mixtures of nanoparticles and proteins tend to form hybrid agglomerates. We are interested in the agglomeration mechanisms and the structure of such agglomerates to better understand their role in medicine, ecology, and biomaterials.
Formation Mechanism for Stable Hybrid Clusters of Proteins and Nanoparticles (ACS)
ACS NANO, DOI: 10.1021/acsnano.5b01043
DINAFFF: Nanoparticle analysis with Field-Flow Fractionation
Field-flow fractionation can fractionate particles after size, but it is often plagued by losses of particles due to adsorption and agglomeration. This AiF-ZIMM-project (supported by the BMWi) aims to reduce such losses and make FFF suitable as a standard technique for nanoparticle detection in products, the environment, and food.
HOP-X: Particle-polymer hybrid X-ray imagers
Digital imagers for medical X-ray are based on ceramic layers. This project is a BMBF-funded effort, coordinated by Siemens, to build X-ray imagers based on a new material that contains conductive polymers and inorganic particles. The particles absorb and convert X-ray photons, the polymer transports the charges to electrodes. The Structure Formation Group is mainly concerned with the analysis of the particle-polymer composites’ structures, its origins in fabrication, and its effect on detector performance.
MobiNano: Mobility and interaction of agglomeration nanoparticles
Interactions drives particles to agglomerate, mobility allows them to follow this drive. We use flow setups and synchrotron Small-Angle X-ray Scattering (SAXS) to study early stages of agglomeration. The results help us to better understand the formation of composites, crystallization mechanisms, and biomineralization phenomena.
NanoConfine: Arrangement of particles in emulsion droplets
Nanoparticles that are trapped in emulsion droplets react to their confinement depending on the surfactant. Some of them form beautifully ordered “supraparticles”, fully defined structures that remind of noble gas condensates or small metal clusters. We study how nanoparticles interact with each other and liquid-liquid interfaces in this DFG-funded project. Tanja Schilling at the University of Luxembourg use simulations to predict and understand structure formation, we explore it experimentally.
References:
Publications
Beran, Lisa | Nebel, Vincent | Perius, Dominik | Kumar, Kshitij | Heim, Yannis | Bies, Laura | Kraus, Tobias
DOI:
Accurate reconstruction of the conductive networks in lithium-ion battery electrodes is essential for understanding material-structure-property relationships and optimizing manufacturing processes. The resolution of these networks remains a challenge due to the average size of the microstructure features and lack of contrast to the other materials generally present. Here, a digital materials framework for the three-dimensional reconstruction and quantitative analysis of lithium-ion battery cathode microstructure using focused ion beam–scanning electron microscopy (FIB–SEM) tomography with segmentation by machine learning is introduced. Low acceleration voltage image stacks are recorded and compared to identify the optimal voltage. Manual segmentation aided with standard software provides a ground truth that is used to train a deep neural network model to identify the phases of a cathode material. The model is applied for robust identification and reconstruction of conductive phases. Quantified microstructural descriptors are extracted from the automatic segmentation and systematically linked to structured processing parameters within a digital platform, DataCharge.io, enabling consistent comparison across lab- and pilot-scale electrodes. This integrated data-driven approach facilitates targeted optimization of electrode fabrication, supports transferable process–structure correlations, and advances digitalization strategies for battery materials engineering.
Deferme, Wim | Kraus, Tobias | García-Tunón, Esther | Agarwala, Shweta | Park, Jang-Ung | Rai, Monika
DOI:
Special Issue
Lay, Makara | Bai, Xue | Kister, Thomas | Kraus, Tobias
DOI:
Conductive polymer composites for printed stretchable temperature sensors must remain functional during many strain cycles despite unavoidable changes in their microstructure and thus the electrically conductive network. In this study, we introduce screen-printable inks with electrical conductivities and temperature coefficients of resistance (TCR, α) that are suitable for application in temperature sensors while retaining thermal and mechanical stability upon stretching the printed sensors. Silver flakes (AgF) and carbon black (CB) or graphite flakes (GR) at different ratios were combined as conductive fillers in dragon skin (DS) elastomer and screen printed. Their electrothermal properties were characterized within the temperature range of 20°C–120°C. Samples with constant α in suitable ranges were selected and characterized electrically for stability during thermal cycling and mechanically during 30 000 strain cycling. The DS-AgF-CB12-180°C and DS-AgF-GR10-180°C composites exhibited linear resistance changes with α = 2.29 × 10−3/°C and 1.75 × 10−3/°C, respectively. The resistance of DS-AgF-GR drifted below 2% over 10 thermal cycling and relative resistance changes (R/R0) increased up to 8 after 30 000 strain cycling at 0%–10%. We show that the carbon particles modify the metal–matrix interactions in the hybrid composites, thus increasing stability and reliability of temperature sensing.
DOI:
Combinations of two different colloidal nanostructures can inherit properties of both and give access to new, emerging properties. Here, we create optically downconverting heteroaggregates of carbon quantum dots and lanthanide doped nanocrystals with high quantum yields and stability against blinking and bleaching. These heteroaggregates are heavy metal-free and display visible emissions that are suitable for multimodal sensing. Red emitting europium Eu3+ doped CaF2 nanoparticles were combined with orange emitting carbon quantum dots prepared by solvothermal reactions. Simple mixing led to the formation of heteroaggregates as confirmed by dynamic light scattering and zeta potential analysis. The assembly caused electromagnetic coupling, changed the particles' response to temperature and pH in aqueous dispersion, and increased the sensing performance. Emission dropped by 39% at 550 nm (of carbon quantum dots) and 8% at 613 nm (of Eu3+ doped CaF2 nanocrystals) from 17% and 33% of the pure nanoparticle dispersions. Changing pH from 1.3 to 12.5 quenched emissions by 92% and 74% at the same wavelengths, increasing from 62% and 47% of the pure dispersions. Ratiometric calibrations based on the intensity ratio of the 550 nm and 613 nm emissions were constructed to use the heteroaggregates as sensors. They performed as optical thermometers in the range from 293 K to 333 K with a temperature resolution of 0.35 K, and pH values within a range from 1.3 to 12.5 with a resolution of 0.15 pH units. Our results show that heteroaggregates of coupled nanostructures provide improved performance in temperature and pH sensing.
Nexha, Albenc | Niebuur, Bart-Jan | Blum, Simon | Kraus, Tobias
DOI:
Salts induce the agglomeration and assembly of gold nanocrystals that are stabilized by charged ligand shells. This destabilization is known to partially deviate from the predictions of classical DLVO theory for larger colloids, but existing studies focus on limited concentration ranges or ion types. Here, we use a high-throughput approach to test the agglomeration efficacy of 17 different salts at concentrations ranging from 0.16 mM to 2 M on negatively charged nanocrystals with shells of 11-mercaptoundecanoic acid and/or triethylene glycol mono-11-mercaptoundecyl ether. Automated pipetting is used to create a large dataset of close to 10000 UV–vis absorbance spectra. We analyze the spectral shifts to find the onset of agglomeration, identify critical salt concentrations, and characterize the nature of the agglomeration transition. The results are compared to classical DLVO theory using conventional analysis, and the effects of ion concentration and anion valency are shown to be consistent with DLVO predictions. Cation valencies only partially follow the predictions, suggesting local ion-specific interactions that dominate when screening lengths reach molecular length scales. A Random Forest Regression model is used as additional “black box” analysis of the results to correlate the ionic strength, ligand shell composition, and intrinsic ion properties, and to rank their relative importance to the colloidal stability of gold nanocrystals. The ranking combines classical DLVO effects and specific ion interactions with subtle effects on the agglomerate structure that affect plasmon resonance shifts, providing a complementary interpretation of the data.
Perius, Dominik | Taranovskyy, Andriy | Gonzalez-Garcia, Lola | Kraus, Tobias
DOI:
Metallic filler particles form continuous paths in nonconductive elastomers and provide electrical conduction. The resulting conductive polymer composites (CPCs) are useful as flexible and stretchable conductors or strain sensors. Percolation theory accurately describes the changes in conductivity close to a critical loading φC but fails to predict conductivities above this transition. Here, we show that graph theory (GT) metrics can be used to correlate network structure and macroscopic electrical conductivity above φC. We used FIB-SEM tomography to reconstruct (31.5 μm)3 large CPC volumes with 2.5-μm-diameter silver spheres at loadings between 27 and 52 vol%. We find linear correlations between the number of nodes and edges and the average graph degree, length, efficiency, and current-flow betweenness with the conductivity of CPCs. We formulate a simple model that describes the increase in conductivity above φC in terms of network morphology. Kirchhoff circuit analysis reveals that the change in network topology alone cannot explain the experimentally observed conductivity. We show that the average particle–particle contact resistance scales reciprocally with degree. This suggests that the filler loading affects contact areas or tunneling widths, providing a link between mechanical and electrical network properties.
Van Impelen, David | González-García, Lola | Kraus, Tobias
DOI:
A low-temperature sintering mechanism of silver microparticles is established and used to enable the design-for-recycling of printed electronics. The formation of necks during the initial phase sintering of precipitated and atomized silver microparticles is studied. Temperature- and time-dependent in-situ analyses indicate the existence of a mobile silver species that provides efficient mass transport. The activation energy of neck formation identifies silver ion formation as the rate-limiting step of low-temperature silver sintering. It is demonstrated that resistivities of 271 times that of bulk silver can be attained after 40 minutes at 150°C. Low-temperature sintering not only reduces the energy required during thermal treatment but it yields layers that are suitable for recycling, too. The resulting layers have conductive necks that are mechanically weak enough to be broken during recycling. Printed layers are redispersed and the recycled silver powder is reused without loss of the electrical performance in new prints. Their conductivities are industrially relevant, which makes this recyclability-by-design approach promising for manufacturing more sustainable printed electronics.
Nebel, Vincent | Beran, Lisa | Königer, Veit | Haghipour, Amir | Mutz, Marcel | Taranovskyy, Andriy | Werth, Dirk | Knoblauch, Volker | Kraus, Tobias
DOI:
Materials science research faces challenges due to diverse and evolving measurements, materials, and methods. Managing research data in a way that is understandable, comparable, and reproducible is essential for high data quality, particularly for data science and machine learning applications. In Li-ion batteries research data storage concepts and structures vary widely between institutions and researchers, leading to difficulties in data comparison and understanding. To address the issue of data structuring, battery production and characterization ontology (BPCO) is developed. The ontology builds on existing ontologies like the Platform MaterialDigital core ontology and quantities, units, dimensions, and types ontology to model standard battery production processes, characterization methods, and materials. The BPCO is based on a workflow structure to be accessible to nonexperts and, unlike highly specialized existing ontologies, models the whole production process removing the need for separate data structures and enabling the identification of dependencies between parameters. This work builds upon a previously published paper in which the taxonomy and fundamental strategies for ontology development are established. The article presents the developed ontology and its use for structuring research data in three key use cases, that is, different experiments performed to validate the ontology's capabilities, provide feedback, and ensure its applicability.
Haghipour, Amir | Arnold, Stefanie | Oehm, Jonas | Schmidt, Dominik S. | Gonzalez-Garcia, Lola | Nakamura, Hitoshi | Kraus, Tobias | Knoblauch, Volker | Presser, Volker
DOI:
The significant demand for energy storage systems has spurred innovative designs and extensive research on lithium-ion batteries (LIBs). To that end, an in-depth examination of utilized materials and relevant methods in conjunction with comparing electrochemical mechanisms is required. Lithium titanate (LTO) anode materials have received substantial interest in high-performance LIBs for numerous applications. Nevertheless, LTO is limited due to capacity fading at high rates, especially in the extended potential range of 0.01–3.00 V versus Li+/Li, while delivering the theoretical capacity of 293 mAh g−1. This study demonstrates how the performance of the LTO anode can be improved by modifying the manufacturing process. Altering the dry and wet mixing duration and speeds throughout the manufacturing process leads to differences in particle sizes and homogeneity of dispersion and structure. The optimized anode at 5 A g−1 (≈17C) and 10 A g−1 (≈34C) yielded 188 and 153 mAh g−1 and retained 73% and 68% of their initial capacity after 1000 cycles, respectively. The following findings offer valuable information regarding the empirical modifications required during electrode fabrication. Additionally, it sheds light on the potential to produce efficient anodes using commercial LTO powder.
Beran, Lisa | Knapp, Tobias V. | Nexha, Albenc | Lay, Makara | Niebuur, Bart-Jan | Kraus, Tobias
DOI:
Batteries contain combinations of materials that undergo electrochemical reactions to convert chemical into electrical energy. Battery research relies on experience and know-how. Important materials and processing data can get overlooked, remain undocumented, or even lost. To bridge the gap between fundamental materials research and battery process engineering, it is essential to generate, analyze, and, most importantly, link intermediate knowledge for future use. Here, it is shown how to combine domain knowledge and a data-driven approach to understanding material–property relationships in the case of conductivity networks of carbon black. The Battery Production and Characterisation Ontology (BPCO) is employed to identify hypotheses that connect battery processing to material domain knowledge. The material's interactions between carbon black, polyvinylidene flouride, and solvents in the BPCO are characterized. These materials combine to form the classical microstructure in battery electrodes for the electrical conductivity. It is demonstrated how new links to the BPCO, verified via materials-processing relationships, and the interim results are identified as intermediate data.



