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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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Specialising neural network potentials for accurate properties and application to the mechanical response of titanium

npj computational materials, 2021-12, Vol.7 (1), p.1-11, Article 206

2021

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Pretraining of attention-based deep learning potential model for molecular simulation

npj computational materials, 2024-05, Vol.10 (1), p.94-8, Article 94

2024

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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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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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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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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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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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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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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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Efficiently Trained Deep Learning Potential for Graphane

Journal of physical chemistry. C, 2021-07, Vol.125 (27), p.14874-14882

2021

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Revealing the molecular structures of α-Al2O3(0001)–water interface by machine learning based computational vibrational spectroscopy

The Journal of chemical physics, 2024-09, Vol.161 (12)

2024

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Interface Engineering of the Cu1.5Mn1.5O4/CeO2 Heterostructure for Highly Efficient Electrocatalytic Nitrate Reduction to Ammonia

Nano letters, 2024-07, Vol.24 (29), p.8964-8972

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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A General and Ultrafast Polishing Method with Truly Atomic Roughness

The journal of physical chemistry letters, 2023-10, Vol.14 (42), p.9441-9447

2023

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DeePKS Model for Halide Perovskites with the Accuracy of a Hybrid Functional

Journal of physical chemistry. C, 2023-09, Vol.127 (37), p.18755-18764

2023

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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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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

Specialising neural network potentials for accurate properties and application to the mechanical response of titanium

Pretraining of attention-based deep learning potential model for molecular simulation

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

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

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

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

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

Machine learning phase space quantum dynamics approaches

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

Efficiently Trained Deep Learning Potential for Graphane

Revealing the molecular structures of α-Al2O3(0001)–water interface by machine learning based computational vibrational spectroscopy

Interface Engineering of the Cu1.5Mn1.5O4/CeO2 Heterostructure for Highly Efficient Electrocatalytic Nitrate Reduction to Ammonia

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

A General and Ultrafast Polishing Method with Truly Atomic Roughness

DeePKS Model for Halide Perovskites with the Accuracy of a Hybrid Functional

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

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