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Accurate prediction of structural and mechanical properties on amorphous materials enabled through machine-learning potentials: a case study of silicon nitride2024 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Ganesh Kumar Nayak, Prashanth Srinivasan, Juraj Todt, Rostislav Daniel, Paolo Nicolini, David Holec
1citations -
Hierarchical Dynamics and Time-Length Scale Superposition in Glassy Suspensions of Ultra-Low Crosslinked Microgels2025 arXiv (Cornell University) preprint Materials Science Material Dynamics and Properties Open access
Alessandra Martinelli, Rajam Elancheliyan, Andrea Scotti, A. V. Petrunin, Domenico Truzzolillo, Luca Cipelletti
0citations -
SALTED: a symmetry-adapted machine-learning program for predicting electron-densities in molecules and materials2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Zekun Lou, Alan M. Lewis, T. Bernhard, Lukas Seifert, Agustín Salcedo, Florian Kleemiss, +2 more
0citations -
Visualizing the mechanism of quinol oxidation and inhibition of a bd -type oxidase using cryo-EM2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Materials Science Enzyme Structure and Function Open access
Tijn T. van der Velden, Kanwal Kayastha, Famke Pelser, Steffen Brünle, Lars J. C. Jeuken
0citations -
Benchmarking short-range machine learning potentials for atomistic simulations of metal/electrolyte interfaces2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Lucas B. T. de Kam, Jiaxin Zhu, Ankit Mathanker, Katharina Doblhoff-Dier, Nitish Govindarajan
1citations
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