Lithium batteries and the solid electrolyte interphase (SEI)—progress and outlook
Interfacial dynamics within chemical systems such as electron and ion transport processes
have relevance in the rational optimization of electrochemical energy storage materials and …
have relevance in the rational optimization of electrochemical energy storage materials and …
Enhancing the Faradaic efficiency of solid oxide electrolysis cells: progress and perspective
To reduce global warming, many countries are shifting to sustainable energy production
systems. Solid oxide electrolysis cells (SOECs) are being considered due to their high …
systems. Solid oxide electrolysis cells (SOECs) are being considered due to their high …
Boosting rechargeable batteries R&D by multiscale modeling: myth or reality?
This review addresses concepts, approaches, tools, and outcomes of multiscale modeling
used to design and optimize the current and next generation rechargeable battery cells …
used to design and optimize the current and next generation rechargeable battery cells …
Metal ion modeling using classical mechanics
Metal ions play significant roles in numerous fields including chemistry, geochemistry,
biochemistry, and materials science. With computational tools increasingly becoming …
biochemistry, and materials science. With computational tools increasingly becoming …
A comparative study on the oxidation of two-dimensional Ti 3 C 2 MXene structures in different environments
The oxidation of two-dimensional Ti3C2 MXene structures has been recognized as a
promising method for the formation of hybrid structures of carbon supported nanotitania …
promising method for the formation of hybrid structures of carbon supported nanotitania …
Review of force fields and intermolecular potentials used in atomistic computational materials research
Molecular simulation is a powerful computational tool for a broad range of applications
including the examination of materials properties and accelerating drug discovery. At the …
including the examination of materials properties and accelerating drug discovery. At the …
High-dimensional neural network potential for liquid electrolyte simulations
Liquid electrolytes are one of the most important components of Li-ion batteries, which are a
critical technology of the modern world. However, we still lack the computational tools …
critical technology of the modern world. However, we still lack the computational tools …
Neural network reactive force field for C, H, N, and O systems
Reactive force fields have enabled an atomic level description of a wide range of
phenomena, from chemistry at extreme conditions to the operation of electrochemical …
phenomena, from chemistry at extreme conditions to the operation of electrochemical …
Machine learning force field parameters from ab initio data
Machine learning (ML) techniques with the genetic algorithm (GA) have been applied to
determine a polarizable force field parameters using only ab initio data from quantum …
determine a polarizable force field parameters using only ab initio data from quantum …
Modeling the solid electrolyte interphase: Machine learning as a game changer?
The solid electrolyte interphase (SEI) is a complex passivation layer that forms in situ on
many battery electrodes such as lithium‐intercalated graphite or lithium metal anodes. Its …
many battery electrodes such as lithium‐intercalated graphite or lithium metal anodes. Its …