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Chemical Physics · Physics
Perspective on integrating machine learning into computational chemistry and materials science
Julia Westermayr, Michael Gastegger, Kristof T. Schütt, Reinhard J. Maurer
2021-06-22
Quantum Physics · Physics
Advances in quantum machine learning
Jeremy Adcock, Euan Allen, Matthew Day, Stefan Frick +6
2015-12-10
Disordered Systems and Neural Networks · Physics
Is the Future of Materials Amorphous? Challenges and Opportunities in Simulations of Amorphous Materials
Ata Madanchi, Emna Azek, Karim Zongo, Laurent K. Béland +2
2024-11-19
Chemical Physics · Physics
The Evolution of Machine Learning Potentials for Molecules, Reactions and Materials
Junfan Xia, Yaolong Zhang, Bin Jiang
2025-05-13
Mesoscale and Nanoscale Physics · Physics
Computational methods for 2D materials modelling
A. Carvalho, P. E. Trevisanutto, S. Taioli, A. H. Castro Neto
2021-10-27
Materials Science · Physics
Reflections on the future of machine learning for materials research
Naohiro Fujinuma, Brian L. DeCost, Jason Hattrick-Simpers, Samuel E. Lofland
2021-12-21
Chemical Physics · Physics
Machine learning for molecular simulation
Frank Noé, Alexandre Tkatchenko, Klaus-Robert Müller, Cecilia Clementi
2019-11-11
Quantum Physics · Physics
The prospects of quantum computing in computational molecular biology
Carlos Outeiral, Martin Strahm, Jiye Shi, Garrett M. Morris +2
2020-05-27
Materials Science · Physics
Review of the Synergies Between Computational Modeling and Experimental Characterization of Materials Across Length Scales
Rémi Dingreville, Richard A. Karnesky, Guillaume Puel, Jean-Hubert Schmitt
2016-01-12
Distributed, Parallel, and Cluster Computing · Computer Science
Computational molecular engineering as an emerging technology in process engineering
Martin Horsch, Christoph Niethammer, Jadran Vrabec, Hans Hasse
2013-05-22