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Energy-volume curves for Os a) PAW results, b) pseudopotential... |  Download Scientific Diagram
Energy-volume curves for Os a) PAW results, b) pseudopotential... | Download Scientific Diagram

JNE | Free Full-Text | Generation of the TSL for Zirconium Hydrides from Ab  Initio Methods | HTML
JNE | Free Full-Text | Generation of the TSL for Zirconium Hydrides from Ab Initio Methods | HTML

Energy-volume curves for Os a) PAW results, b) pseudopotential... |  Download Scientific Diagram
Energy-volume curves for Os a) PAW results, b) pseudopotential... | Download Scientific Diagram

Modeling atomic force microscopy at LiNbO3 surfaces from first-principles -  ScienceDirect
Modeling atomic force microscopy at LiNbO3 surfaces from first-principles - ScienceDirect

A transferable artificial neural network model for atomic forces in  nanoparticles: The Journal of Chemical Physics: Vol 149, No 19
A transferable artificial neural network model for atomic forces in nanoparticles: The Journal of Chemical Physics: Vol 149, No 19

Atomic Interactions - Interaction Potential | Atomic Bonding | Van der  Waals Force - PhET Interactive Simulations
Atomic Interactions - Interaction Potential | Atomic Bonding | Van der Waals Force - PhET Interactive Simulations

Garfield Graphics included with kind permission from PAWS
Garfield Graphics included with kind permission from PAWS

In operando active learning of interatomic interaction during large-scale  simulations - IOPscience
In operando active learning of interatomic interaction during large-scale simulations - IOPscience

A simple molecular mechanics potential for μm scale graphene simulations  from the adaptive force matching method: The Journal of Chemical Physics:  Vol 134, No 18
A simple molecular mechanics potential for μm scale graphene simulations from the adaptive force matching method: The Journal of Chemical Physics: Vol 134, No 18

Nonadiabatic Ehrenfest molecular dynamics within the projector  augmented-wave method: The Journal of Chemical Physics: Vol 136, No 14
Nonadiabatic Ehrenfest molecular dynamics within the projector augmented-wave method: The Journal of Chemical Physics: Vol 136, No 14

GitHub - kylebystrom/pawpyseed: Parallel C/Python package for numerical  analysis of PAW DFT wavefunctions
GitHub - kylebystrom/pawpyseed: Parallel C/Python package for numerical analysis of PAW DFT wavefunctions

Minerals | Free Full-Text | DFT Simulation of the Water Molecule  Interaction with the (00l) Surface of Montmorillonite | HTML
Minerals | Free Full-Text | DFT Simulation of the Water Molecule Interaction with the (00l) Surface of Montmorillonite | HTML

Atomic Structure: Atoms and isotopes (Principles) Virtual Lab | Labster
Atomic Structure: Atoms and isotopes (Principles) Virtual Lab | Labster

Orbital-free density functional theory implementation with the projector  augmented-wave method: The Journal of Chemical Physics: Vol 141, No 23
Orbital-free density functional theory implementation with the projector augmented-wave method: The Journal of Chemical Physics: Vol 141, No 23

Efficient training of ANN potentials by including atomic forces via Taylor  expansion and application to water and a transition-metal oxide | npj  Computational Materials
Efficient training of ANN potentials by including atomic forces via Taylor expansion and application to water and a transition-metal oxide | npj Computational Materials

3D Deep Learning with voxelized atomic configurations for modeling  atomistic potentials in complex solid-solution alloys | DeepAI
3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys | DeepAI

Optimized interatomic potential for atomistic simulation of Zr-Nb alloy -  ScienceDirect
Optimized interatomic potential for atomistic simulation of Zr-Nb alloy - ScienceDirect

Introduction to the Atomic Simulation Environment | Robert B. Wexler, PhD
Introduction to the Atomic Simulation Environment | Robert B. Wexler, PhD

Efficient training of ANN potentials by including atomic forces via Taylor  expansion and application to water and a transition-metal oxide | npj  Computational Materials
Efficient training of ANN potentials by including atomic forces via Taylor expansion and application to water and a transition-metal oxide | npj Computational Materials

Rational design of transition metal single-atom electrocatalysts: a  simulation-based, machine learning-accelerated study - Journal of Materials  Chemistry A (RSC Publishing)
Rational design of transition metal single-atom electrocatalysts: a simulation-based, machine learning-accelerated study - Journal of Materials Chemistry A (RSC Publishing)

Minerals | Free Full-Text | DFT Simulation of the Water Molecule  Interaction with the (00l) Surface of Montmorillonite | HTML
Minerals | Free Full-Text | DFT Simulation of the Water Molecule Interaction with the (00l) Surface of Montmorillonite | HTML

(color online) Top view of Cu(001) surface-layer-atoms, second-layer... |  Download Scientific Diagram
(color online) Top view of Cu(001) surface-layer-atoms, second-layer... | Download Scientific Diagram

Atomic dipole matrix elements calculated with and without PAW... | Download  Scientific Diagram
Atomic dipole matrix elements calculated with and without PAW... | Download Scientific Diagram

Quantifying the evolution of atomic interaction of a complex surface with a  functionalized atomic force microscopy tip | Scientific Reports
Quantifying the evolution of atomic interaction of a complex surface with a functionalized atomic force microscopy tip | Scientific Reports

Efficient training of ANN potentials by including atomic forces via Taylor  expansion and application to water and a transition-metal oxide | npj  Computational Materials
Efficient training of ANN potentials by including atomic forces via Taylor expansion and application to water and a transition-metal oxide | npj Computational Materials

Efficient training of ANN potentials by including atomic forces via Taylor  expansion and application to water and a transition-metal oxide | npj  Computational Materials
Efficient training of ANN potentials by including atomic forces via Taylor expansion and application to water and a transition-metal oxide | npj Computational Materials