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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, Gopalakrishnan 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 -
Identifying Pristine and Processed Animal Fibers using Machine Learning2021 IEEE International Instrumentation and Measurement Technology Conference conference-paper Materials Science Textile materials and evaluations
Oliver Rippel, Niclas Bilitewski, Khosrow Rahimi, Juliana Kurniadi, Dorit Merhof
2citations -
Generation and validation of a high-resolution fossil diatom record from Saliña Bartol, Bonaire, based on convolutional neural networks2026 Applied Computing and Geosciences article Materials Science Diatoms and Algae Research Open access
Romee van der Kuil, Kees Nooren, Madlene Nussbaum, Edwin Bennink, Francesca Sangiorgi, Timme H. Donders
0citations
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