Efficient and Accurate Machine Learning Interatomic Potential for Graphene: Capturing Stress-Strain and Vibrational Properties

Full Quantum dynamics study for H atom scattering from graphene

Water structuring at stacked graphene interfaces unveiled by machine-learning molecular dynamics

Deep potential for interaction between hydrated Cs+ and graphene

Ion Sieving in Two-Dimensional Membranes from First Principles

Probing aqueous interfaces with spin defects

A Reverse Non-Equilibrium Molecular Dynamics (RNEMD) Algorithm for Coupled Mass and Heat Transport in Mixtures

Momentum tunneling between nanoscale liquid flows

Stochastic Modeling of Anisotropic Strength Surfaces from Atomistic Simulations

Defect configuration, not nitrogen content, governs the mechanical integrity of nitrogen-doped graphene: a molecular dynamics study

Efficient and Accurate Machine Learning Interatomic Potential for Graphene: Capturing Stress-Strain and Vibrational Properties

Full Quantum dynamics study for H atom scattering from graphene

Water structuring at stacked graphene interfaces unveiled by machine-learning molecular dynamics

Deep potential for interaction between hydrated Cs+ and graphene

Ion Sieving in Two-Dimensional Membranes from First Principles

Probing aqueous interfaces with spin defects

A Reverse Non-Equilibrium Molecular Dynamics (RNEMD) Algorithm for Coupled Mass and Heat Transport in Mixtures

Momentum tunneling between nanoscale liquid flows

Stochastic Modeling of Anisotropic Strength Surfaces from Atomistic Simulations

Defect configuration, not nitrogen content, governs the mechanical integrity of nitrogen-doped graphene: a molecular dynamics study

Efficient and Accurate Machine Learning Interatomic Potential for Graphene: Capturing Stress-Strain and Vibrational Properties

Full Quantum dynamics study for H atom scattering from graphene

Water structuring at stacked graphene interfaces unveiled by machine-learning molecular dynamics

Deep potential for interaction between hydrated Cs+ and graphene

Ion Sieving in Two-Dimensional Membranes from First Principles

Probing aqueous interfaces with spin defects

A Reverse Non-Equilibrium Molecular Dynamics (RNEMD) Algorithm for Coupled Mass and Heat Transport in Mixtures

Momentum tunneling between nanoscale liquid flows

Stochastic Modeling of Anisotropic Strength Surfaces from Atomistic Simulations

Defect configuration, not nitrogen content, governs the mechanical integrity of nitrogen-doped graphene: a molecular dynamics study

Efficient and Accurate Machine Learning Interatomic Potential for Graphene: Capturing Stress-Strain and Vibrational Properties

Full Quantum dynamics study for H atom scattering from graphene

Water structuring at stacked graphene interfaces unveiled by machine-learning molecular dynamics

Deep potential for interaction between hydrated Cs+ and graphene

Ion Sieving in Two-Dimensional Membranes from First Principles

Probing aqueous interfaces with spin defects

A Reverse Non-Equilibrium Molecular Dynamics (RNEMD) Algorithm for Coupled Mass and Heat Transport in Mixtures

Momentum tunneling between nanoscale liquid flows

Stochastic Modeling of Anisotropic Strength Surfaces from Atomistic Simulations

Defect configuration, not nitrogen content, governs the mechanical integrity of nitrogen-doped graphene: a molecular dynamics study