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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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Active learning of uniformly accurate interatomic potentials for materials simulation

Physical review materials, 2019-02, Vol.3 (2), Article 023804

2019

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Signatures of a liquid–liquid transition in an ab initio deep neural network model for water

Proceedings of the National Academy of Sciences - PNAS, 2020-10, Vol.117 (42), p.26040-26046

2020

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Deep neural network for the dielectric response of insulators

Physical review. B, 2020-07, Vol.102 (4), p.1, Article 041121

2020

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Viscosity in water from first-principles and deep-neural-network simulations

npj computational materials, 2022-07, Vol.8 (1), p.1-10, Article 139

2022

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Isotope effects in molecular structures and electronic properties of liquid water via deep potential molecular dynamics based on the SCAN functional

Physical review. B, 2020-12, Vol.102 (21), p.1, Article 214113

2020

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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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Strain Regulation and Defect Passivation of FA‐Based Perovskite Materials for Highly Efficient Solar Cells

Advanced science, 2024-02, Vol.11 (7), p.e2305582-n/a

2024

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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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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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Structure of the rust layer of weathering steel in A high chloride environment: A detailed characterization via HRTEM, STEM-EDS, and FIB-SEM

Corrosion science, 2020-12, Vol.177, p.108997, Article 108997

2020

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Synthesis of heterostructure δ-MnO2/h-MoO3 nanocomposite and the enhanced photodegradation activity of methyl orange in aqueous solutions

Journal of materials science, 2020-03, Vol.55 (8), p.3329-3346

2020

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Deep potentials for materials science

Materials futures, 2022-06, Vol.1 (2), p.22601

2022

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Synthesis of Z-scheme multi-shelled ZnO/AgVO3 spheres as photocatalysts for the degradation of ciprofloxacin and reduction of chromium(VI)

Journal of materials science, 2020-04, Vol.55 (12), p.4987-5007

2020

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Deep learning of accurate force field of ferroelectric HfO2

Physical review. B, 2021-01, Vol.103 (2), p.024108

2021

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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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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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Determining the thermal conductivity and phonon behavior of SiC materials with quantum accuracy via deep learning interatomic potential model

Journal of nuclear materials, 2024-04, Vol.591, p.154897, Article 154897

2024

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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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Facile synthesis of flower-like CQDs/S-Bi4O5Br2 composites as a highly efficient visible-light response photocatalyst for ciprofloxacin degradation

Journal of materials science, 2022, Vol.57 (3), p.1977-1993

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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Heat transport in liquid water from first-principles and deep neural network simulations

Physical review. B, 2021-12, Vol.104 (22), Article 224202

2021

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Facile synthesis of flower-like Bi2WO6/C3N4/CNT ternary composite with enhanced photoactivity: influencing factors and mechanism

Journal of materials science, 2020-11, Vol.55 (33), p.15945-15962

2020

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A generalizable machine learning potential of Ag–Au nanoalloys and its application to surface reconstruction, segregation and diffusion

Modelling and simulation in materials science and engineering, 2022-03, Vol.30 (2), p.25003

2022

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

Active learning of uniformly accurate interatomic potentials for materials simulation

Signatures of a liquid–liquid transition in an ab initio deep neural network model for water

Deep neural network for the dielectric response of insulators

Viscosity in water from first-principles and deep-neural-network simulations

Isotope effects in molecular structures and electronic properties of liquid water via deep potential molecular dynamics based on the SCAN functional

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

Strain Regulation and Defect Passivation of FA‐Based Perovskite Materials for Highly Efficient Solar Cells

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

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

Structure of the rust layer of weathering steel in A high chloride environment: A detailed characterization via HRTEM, STEM-EDS, and FIB-SEM

Synthesis of heterostructure δ-MnO2/h-MoO3 nanocomposite and the enhanced photodegradation activity of methyl orange in aqueous solutions

Deep potentials for materials science

Synthesis of Z-scheme multi-shelled ZnO/AgVO3 spheres as photocatalysts for the degradation of ciprofloxacin and reduction of chromium(VI)

Deep learning of accurate force field of ferroelectric HfO2

Efficiently Trained Deep Learning Potential for Graphane

A General and Ultrafast Polishing Method with Truly Atomic Roughness

Determining the thermal conductivity and phonon behavior of SiC materials with quantum accuracy via deep learning interatomic potential model

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

Facile synthesis of flower-like CQDs/S-Bi4O5Br2 composites as a highly efficient visible-light response photocatalyst for ciprofloxacin degradation

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

Heat transport in liquid water from first-principles and deep neural network simulations

Facile synthesis of flower-like Bi2WO6/C3N4/CNT ternary composite with enhanced photoactivity: influencing factors and mechanism

A generalizable machine learning potential of Ag–Au nanoalloys and its application to surface reconstruction, segregation and diffusion

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