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Machine Learning in Materials Science Sign in to save
Papers per year
Papers 180
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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 -
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models2026 SSRN Electronic Journal preprint Materials Science Machine Learning in Materials Science Open access
Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka
1citations -
Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials2026 Computational Materials Science article Materials Science Machine Learning in Materials Science Open access
G. Laskaris, D. Morozov, D. Tarpanov, A. Seth, J. Procelewska, G. Sai Gautam, +3 more
1citations -
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 -
An accelerated approach for efficient development and scaling of new material technologies, combining flow synthesis with machine learning. Case study: Nanostructured ZnO for antibacterial coatings
Nicholas A. Jose, Mikhail Kovalev, Eric Christopher Bradford, Artur M. Schweidtmann, Hua Chun Zeng, Alexei A. Lapkin
0citations -
Stability of Binary Precipitates in Cu-Ni-Si-Cr Alloys Investigated Through Active Learning2023 SSRN Electronic Journal preprint Materials Science Machine Learning in Materials Science Open access
Ángel Díaz Carral, Xiang Qun Xu, Simon Gravelle, Azade YazdanYar, Siegfried Schmauder, Maria Fyta
0citations -
Stability of Binary Precipitates in Cu-Ni-Si-Cr Alloys Investigated Through Active Learning2023 SSRN Electronic Journal preprint Materials Science Machine Learning in Materials Science Open access
Ángel Díaz Carral, Xiang Xu, Simon Gravelle, Azade YazdanYar, Siegfried Schmauder, Maria Fyta
0citations
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