Machine Learning Potential-Enabled Platform for the In Silico Design of Functional Organic Molecular Crystals. [PDF]
Bhat V, Risko C.
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Machine learning potential era of zeolite simulation. [PDF]
Ma S, Liu ZP.
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Machine learning potential for modelling dynamic hydrogen bond networks in MOF MIL-120. [PDF]
Jin X +4 more
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Student stress and mental health during online learning: Potential for post-COVID-19 school curriculum development. [PDF]
Nuryana Z +5 more
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Understanding the precipitation mechanism in pentavalent vanadium electrolytes through deep learning potential molecular dynamics. [PDF]
Mu C, Zhan C, Li T, Li X.
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Proton Transport on Graphamine: A Deep-Learning Potential Study. [PDF]
Ananthabhotla LY, Achar SK, Johnson JK.
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Machine learning potential for interacting dislocations in the presence of free surfaces. [PDF]
Lanzoni D, Rovaris F, Montalenti F.
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Chromatin Profiling Reveals Distinct Male and Female Trajectories for Developmental Learning Potential. [PDF]
Kunzelman GW, Batistuzzo A, London SE.
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A foundation machine learning potential with polarizable long-range interactions for materials modelling. [PDF]
Gao R +5 more
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Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF-NaF-ZrF4 Molten Salt. [PDF]
Chahal R +5 more
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