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Highly efficient and damage-free polishing of GaN (0 0 0 1) by electrochemical etching-enhanced CMP process

Applied surface science, 2020-06, Vol.514, p.145957, Article 145957

2020

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DeePCG: Constructing coarse-grained models via deep neural networks

The Journal of chemical physics, 2018-07, Vol.149 (3), p.034101-034101

2018

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Isotope effects in liquid water via deep potential molecular dynamics

Molecular physics, 2019-11, Vol.117 (22), p.3269-3281

2019

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One-pot synthesized NiFe2O4/CeO2 composite catalyst for efficient degradation of methylene blue via photocatalysis under visible light

Catalysis communications, 2023-12, Vol.185, p.106814, Article 106814

2023

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Reinforced dynamics for enhanced sampling in large atomic and molecular systems

The Journal of chemical physics, 2018-03, Vol.148 (12), p.124113-124113

2018

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Theoretical and experimental study on plasma-induced atom-migration manufacturing (PAMM) of glass

Applied surface science, 2022-10, Vol.599, p.153976, Article 153976

2022

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Thermal Conductivity of Water at Extreme Conditions

The journal of physical chemistry. B, 2023-07, Vol.127 (31), p.7011-7017

2023

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A deep potential model with long-range electrostatic interactions

The Journal of chemical physics, 2022-03, Vol.156 (12), p.124107-124107

2022

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DP Compress: A Model Compression Scheme for Generating Efficient Deep Potential Models

Journal of chemical theory and computation, 2022-09, Vol.18 (9), p.5559-5567

2022

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Highly efficient and atomic scale polishing of GaN via plasma-based atom-selective etching

Applied surface science, 2023-05, Vol.620, p.156786, Article 156786

2023

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Ground State Energy Functional with Hartree–Fock Efficiency and Chemical Accuracy

The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory, 2020-09, Vol.124 (35), p.7155-7165

2020

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DeePKS: A Comprehensive Data-Driven Approach toward Chemically Accurate Density Functional Theory

Journal of chemical theory and computation, 2021-01, Vol.17 (1), p.170-181

2021

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Machine learning phase space quantum dynamics approaches

The Journal of chemical physics, 2021-05, Vol.154 (18), p.184104-184104

2021

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Deep potential generation scheme and simulation protocol for the Li10GeP2S12-type superionic conductors

The Journal of chemical physics, 2021-03, Vol.154 (9), p.094703-094703

2021

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Machine learning assisted coarse-grained molecular dynamics modeling of meso-scale interfacial fluids

The Journal of chemical physics, 2023-02, Vol.158 (6), p.064104-064104

2023

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A study of thermal etching of GaN by atmospheric argon inductively coupled plasma

Thermochimica acta, 2023-06, Vol.724, p.179491, Article 179491

2023

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Machine-Learning-Based Interatomic Potentials for Group IIB to VIA Semiconductors: Toward a Universal Model

Journal of chemical theory and computation, 2024-07, Vol.20 (13), p.5717-5731

2024

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When do short-range atomistic machine-learning models fall short?

The Journal of chemical physics, 2021-01, Vol.154 (3), p.034111-034111

2021

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Modeling Liquid Water by Climbing up Jacob’s Ladder in Density Functional Theory Facilitated by Using Deep Neural Network Potentials

The journal of physical chemistry. B, 2021-10, Vol.125 (41), p.11444-11456

2021

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Hybrid Auxiliary Field Quantum Monte Carlo for Molecular Systems

Journal of chemical theory and computation, 2023-07, Vol.19 (14), p.4484-4493

2023

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Rational design of defect-rich tungsten-molybdenum oxide modified carbon supported Pd as superior performances electrocatalyst for formic acid oxidation

International journal of hydrogen energy, 2022-04, Vol.47 (35), p.15742-15752

2022

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Progressive lithiation mechanism of Sn4P3 nanosheets as anodes for Li-ion batteries

Applied surface science, 2021-06, Vol.550, p.149247, Article 149247

2021

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DeePMD-kit v2: A software package for deep potential models

The Journal of chemical physics, 2023-08, Vol.159 (5)

2023

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Combined Deep Learning and Classical Potential Approach for Modeling Diffusion in UiO-66

Journal of chemical theory and computation, 2022-06, Vol.18 (6), p.3593-3606

2022

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Geometric Phase Effect in Attosecond Stimulated X‑ray Raman Spectroscopy

The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory, 2023-04, Vol.127 (16), p.3608-3613

2023

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Highly efficient and damage-free polishing of GaN (0 0 0 1) by electrochemical etching-enhanced CMP process

DeePCG: Constructing coarse-grained models via deep neural networks

Isotope effects in liquid water via deep potential molecular dynamics

One-pot synthesized NiFe2O4/CeO2 composite catalyst for efficient degradation of methylene blue via photocatalysis under visible light

Reinforced dynamics for enhanced sampling in large atomic and molecular systems

Theoretical and experimental study on plasma-induced atom-migration manufacturing (PAMM) of glass

Thermal Conductivity of Water at Extreme Conditions

A deep potential model with long-range electrostatic interactions

DP Compress: A Model Compression Scheme for Generating Efficient Deep Potential Models

Highly efficient and atomic scale polishing of GaN via plasma-based atom-selective etching

Ground State Energy Functional with Hartree–Fock Efficiency and Chemical Accuracy

DeePKS: A Comprehensive Data-Driven Approach toward Chemically Accurate Density Functional Theory

Machine learning phase space quantum dynamics approaches

Deep potential generation scheme and simulation protocol for the Li10GeP2S12-type superionic conductors

Machine learning assisted coarse-grained molecular dynamics modeling of meso-scale interfacial fluids

A study of thermal etching of GaN by atmospheric argon inductively coupled plasma

Machine-Learning-Based Interatomic Potentials for Group IIB to VIA Semiconductors: Toward a Universal Model

When do short-range atomistic machine-learning models fall short?

Modeling Liquid Water by Climbing up Jacob’s Ladder in Density Functional Theory Facilitated by Using Deep Neural Network Potentials

Hybrid Auxiliary Field Quantum Monte Carlo for Molecular Systems

Rational design of defect-rich tungsten-molybdenum oxide modified carbon supported Pd as superior performances electrocatalyst for formic acid oxidation

Progressive lithiation mechanism of Sn4P3 nanosheets as anodes for Li-ion batteries

DeePMD-kit v2: A software package for deep potential models

Combined Deep Learning and Classical Potential Approach for Modeling Diffusion in UiO-66

Geometric Phase Effect in Attosecond Stimulated X‑ray Raman Spectroscopy

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