189 citations
- Forschungszentrum JülichDE18 papers
- University of MünsterDE9 papers
- Jülich Aachen Research AllianceDE7 papers
- RWTH Aachen UniversityDE7 papers
- Argonne National LaboratoryUS2 papers
- University of CambridgeGB2 papers
- University of OxfordGB2 papers
- Argonne Leadership Computing Facility1 paper
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- Bielefeld UniversityDE1 paper
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- Centre for Electrochemical TechnologiesES1 paper
6 papers · 1 filter
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
Christian Schiffer, Hannah Spitzer, Kai Kiwitz +6
Human brain atlases provide spatial reference systems for data characterizing brain organization at different levels, coming from different brains. Cytoarchitecture is a basic prin…
Polymer electrolytes in strong external electric fields: Modification of structure and dynamics
Alina Wettstein, Diddo Diddens, Andreas Heuer
We present the results from an extensive atomistic molecular dynamics simulation study of poly(ethylene oxide) (PEO) doped with various amounts of lithium-bis(trifluoromethane)sulf…
Impact of Charged Surfaces on the Structure and Dynamics of Polymer Electrolytes: Insights from Atomistic Simulations
Andreas Thum, Diddo Diddens, Andreas Heuer
Polymer electrolytes are intensely investigated for use as solid electrolytes in next generation lithium-ion and lithium-metal batteries. However, little is known about the structu…
Understanding the Lithium Ion Transport in Concentrated Block-Copolymer Electrolytes on a Microscopic Level
Len Kimms, Diddo Diddens, Andreas Heuer
Block-copolymer electrolytes with lamellar microstructure show promising results regarding the ion transport in experiments. Motivated by these observations we study block-copolyme…
An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide
Ganesh Sivaraman, Leighanne Gallington, Anand Narayanan Krishnamoorthy +4
Understanding the structure and properties of refractory oxides are critical for high temperature applications. In this work, a combined experimental and simulation approach uses a…
Bringing Anatomical Information into Neuronal Network Models
Sacha Jennifer van Albada, Aitor Morales-Gregorio, Timo Dickscheid +6
For constructing neuronal network models computational neuroscientists have access to wide-ranging anatomical data that nevertheless tend to cover only a fraction of the parameters…