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Predicting ion diffusion from the shape of potential energy

$ 6.50

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Δ-Machine Learned Potential Energy Surfaces and Force Fields

Energy landscapes of perfect and defective solids: from structure prediction to ion conduction

Energy landscapes of perfect and defective solids: from structure prediction to ion conduction

Berend SMIT, Professor (Full), PhD, University of California, Berkeley, CA, UCB, Department of Chemical and Biomolecular Engineering

Total potential energy versus interparticle distance curve between

Fast carrier diffusion via synergistic effects between lithium

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Surface Atomic Configurations of MnO2 Regulating the Immobilization of Sulfides in Lithium Sulfur Battery

Berend SMIT, Professor (Full), PhD, University of California, Berkeley, CA, UCB, Department of Chemical and Biomolecular Engineering

Frontiers Soft Ionics: Governing Physics and State of Technologies

Diffusion Activation Energy - an overview

Predicting the Effects of a Protein Channel Malfunction in Na/K

PDF) The sensitive aspects of modelling polymer-ceramic composite solid-state electrolytes by molecular dynamics simulations

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