Related references
Note: Only part of the references are listed.Microstructure of Lithium Dendrites Revealed by Room-Temperature Electron Microscopy
Wenbo Zhai et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2022)
Self-Healing Mechanism of Lithium in Lithium Metal
Junyu Jiao et al.
ADVANCED SCIENCE (2022)
Dynamic observation of dendrite growth on lithium metal anode during battery charging/discharging cycles
Hae Gon Lee et al.
NPJ COMPUTATIONAL MATERIALS (2022)
Origin of structural degradation in Li-rich layered oxide cathode
Tongchao Liu et al.
NATURE (2022)
Thermodynamic Factor for Facilitating Homogeneous Dendrite Growth in Alkali Metal Batteries
Gwanghyeon Choi et al.
ADVANCED ENERGY MATERIALS (2022)
Machine learning force field for Fe-H system and investigation on role of hydrogen on the crack propagation in ?-Fe
Buyu Zhang et al.
COMPUTATIONAL MATERIALS SCIENCE (2022)
Correlating Kinetics to Cyclability Reveals Thermodynamic Origin of Lithium Anode Morphology in Liquid Electrolytes
David T. Boyle et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2022)
Interfacial Atomistic Mechanisms of Lithium Metal Stripping and Plating in Solid-State Batteries
Menghao Yang et al.
ADVANCED MATERIALS (2021)
Deep potential generation scheme and simulation protocol for the Li10GeP2S12-type superionic conductors
Jianxing Huang et al.
JOURNAL OF CHEMICAL PHYSICS (2021)
AtomSets as a hierarchical transfer learning framework for small and large materials datasets
Chi Chen et al.
NPJ COMPUTATIONAL MATERIALS (2021)
Deep learning framework for material design space exploration using active transfer learning and data augmentation
Yongtae Kim et al.
NPJ COMPUTATIONAL MATERIALS (2021)
Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials
Dongsun Yoo et al.
NPJ COMPUTATIONAL MATERIALS (2021)
DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models
Yuzhi Zhang et al.
COMPUTER PHYSICS COMMUNICATIONS (2020)
Performance and Cost Assessment of Machine Learning Interatomic Potentials
Yunxing Zuo et al.
JOURNAL OF PHYSICAL CHEMISTRY A (2020)
Neural Network Force Fields for Metal Growth Based on Energy Decompositions
Qin Hu et al.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2020)
Morphology evolution and dendrite growth in Li- and Mg-metal batteries: A potential dependent thermodynamic and kinetic multiscale ab initio study
Arthur Hagopian et al.
ELECTROCHIMICA ACTA (2020)
Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning
Chun-Teh Chen et al.
ADVANCED SCIENCE (2020)
Parametrization with Explicit Water of Solvents Used in Lithium-Ion Batteries: Cyclic Carbonates and Linear Ethers
Valeria Garcia-Melgarejo et al.
JOURNAL OF PHYSICAL CHEMISTRY B (2020)
Glassy Li metal anode for high-performance rechargeable Li batteries
Xuefeng Wang et al.
NATURE MATERIALS (2020)
Liquid to crystal Si growth simulation using machine learning force field
Ling Miao et al.
JOURNAL OF CHEMICAL PHYSICS (2020)
Thermodynamic origin of dendrite growth in metal anode batteries
Arthur Hagopian et al.
ENERGY & ENVIRONMENTAL SCIENCE (2020)
Substantial potential effects on single-atom catalysts for the oxygen evolution reaction simulated via a fixed-potential method
Guoping Gao et al.
JOURNAL OF CATALYSIS (2020)
Density functional theory based neural network force fields from energy decompositions
Yufeng Huang et al.
PHYSICAL REVIEW B (2019)
Modeling the Phase-Change Memory Material, Ge2Sb2Te5, with a Machine-Learned Interatomic Potential
Felix C. Mocanu et al.
JOURNAL OF PHYSICAL CHEMISTRY B (2018)
Reviving the lithium metal anode for high-energy batteries
Dingchang Lin et al.
NATURE NANOTECHNOLOGY (2017)
Atomic structure of sensitive battery materials and Interfaces revealed by cryo-electron microscopy
Yuzhang Li et al.
SCIENCE (2017)
Toward Safe Lithium Metal Anode in Rechargeable Batteries: A Review
Xin-Bing Cheng et al.
CHEMICAL REVIEWS (2017)
First-principles Green-Kubo method for thermal conductivity calculations
Jun Kang et al.
PHYSICAL REVIEW B (2017)
Optimization algorithm for the generation of ONCV pseudopotentials
Martin Schlipf et al.
COMPUTER PHYSICS COMMUNICATIONS (2015)
Annealing kinetics of electrodeposited lithium dendrites
Asghar Aryanfar et al.
JOURNAL OF CHEMICAL PHYSICS (2015)
Li+-Oligoglyme Association in the Presence of Ionic Liquid Studied by Molecular Dynamics and Explicit or Implicit Solvent Model
Andrzej Eilmes et al.
JOURNAL OF PHYSICAL CHEMISTRY B (2015)
Towards greener and more sustainable batteries for electrical energy storage
D. Larcher et al.
NATURE CHEMISTRY (2015)
Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
Carlos R. Garcia-Alonso et al.
ANNALS OF OPERATIONS RESEARCH (2014)
Lithium metal anodes for rechargeable batteries
Wu Xu et al.
ENERGY & ENVIRONMENTAL SCIENCE (2014)
Phase-field Modeling and Simulations of Dendrite Growth
Tomohiro Takaki
ISIJ INTERNATIONAL (2014)
Microscopic properties of lithium, sodium, and magnesium battery anode materials related to possible dendrite growth
Markus Jaeckle et al.
JOURNAL OF CHEMICAL PHYSICS (2014)
Mechanisms of dendritic growth investigated by in situ light microscopy during electrodeposition and dissolution of lithium
Jens Steiger et al.
JOURNAL OF POWER SOURCES (2014)
Modeling dendrite growth during lithium electrodeposition at sub-ambient temperature
Rohan Akolkar
JOURNAL OF POWER SOURCES (2014)
Stochastic surface walking method for crystal structure and phase transition pathway prediction
Cheng Shang et al.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2014)
The analysis of a plane wave pseudopotential density functional theory code on a GPU machine
Weile Jia et al.
COMPUTER PHYSICS COMMUNICATIONS (2013)
Fast plane wave density functional theory molecular dynamics calculations on multi-GPU machines
Weile Jia et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2013)
Optimized norm-conserving Vanderbilt pseudopotentials
D. R. Hamann
PHYSICAL REVIEW B (2013)
Revised self-consistent continuum solvation in electronic-structure calculations
Oliviero Andreussi et al.
JOURNAL OF CHEMICAL PHYSICS (2012)
Structure identification methods for atomistic simulations of crystalline materials
Alexander Stukowski
MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING (2012)
Neural network interatomic potential for the phase change material GeTe
Gabriele C. Sosso et al.
PHYSICAL REVIEW B (2012)
Microscopic Origins of the Anomalous Melting Behavior of Sodium under High Pressure
Hagai Eshet et al.
PHYSICAL REVIEW LETTERS (2012)
Visualization and analysis of atomistic simulation data with OVITO-the Open Visualization Tool
Alexander Stukowski
MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING (2010)
Ab initio quality neural-network potential for sodium
Hagai Eshet et al.
PHYSICAL REVIEW B (2010)
Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons
Albert P. Bartok et al.
PHYSICAL REVIEW LETTERS (2010)
Generalized neural-network representation of high-dimensional potential-energy surfaces
Joerg Behler et al.
PHYSICAL REVIEW LETTERS (2007)
Issues and challenges facing rechargeable lithium batteries
JM Tarascon et al.
NATURE (2001)