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Solving many-electron Schrödinger equation using deep neural networks

Journal of computational physics, 2019-12, Vol.399, p.108929, Article 108929

2019

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Phase Diagram of a Deep Potential Water Model

Physical review letters, 2021-06, Vol.126 (23), p.1-236001, Article 236001

2021

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Deep Potential: A General Representation of a Many-Body Potential Energy Surface

Communications in computational physics, 2018-01, Vol.23 (3), p.629-639

2018

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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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DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models

Computer physics communications, 2020-08, Vol.253 (C), p.107206, Article 107206

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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Energy management in a microgrid with distributed energy resources

Energy conversion and management, 2014-02, Vol.78, p.297-305

2014

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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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Measuring imported case risk of COVID-19 from inbound international flights --- A case study on China

Journal of air transport management, 2020-10, Vol.89, p.101918-101918, Article 101918

2020

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Accurate Deep Potential model for the Al–Cu–Mg alloy in the full concentration space

Chinese physics B, 2021-05, Vol.30 (5), p.50706-21

2021

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Raman spectrum and polarizability of liquid water from deep neural networks

Physical chemistry chemical physics : PCCP, 2020-05, Vol.22 (19), p.1592-162

2020

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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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Free energy of proton transfer at the water–TiO2 interface from ab initio deep potential molecular dynamics

Chemical science (Cambridge), 2020-03, Vol.11 (9), p.2335-2341

2020

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The Disease Burden of Atrial Fibrillation in China from a National Cross-sectional Survey

The American journal of cardiology, 2018-09, Vol.122 (5), p.793-798

2018

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Author Correction: Data-driven quantum chemical property prediction leveraging 3D conformations with Uni-Mol

Nature communications, 2024-10, Vol.15 (1), p.8548-1, Article 8548

2024

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Data-driven quantum chemical property prediction leveraging 3D conformations with Uni-Mol

Nature communications, 2024-08, Vol.15 (1), p.7104-11, Article 7104

2024

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The performance of a grid-tied microgrid with hydrogen storage and a hydrogen fuel cell stack

Energy conversion and management, 2014-11, Vol.87, p.421-427

2014

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LncRNA DLX6-AS1 Contributes to Epithelial–Mesenchymal Transition and Cisplatin Resistance in Triple-negative Breast Cancer via Modulating Mir-199b-5p/Paxillin Axis

Cell transplantation, 2020-01, Vol.29, p.963689720929983

2020

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Processing-Microstructure-Property Relationship in Governing High Strength-High Ductility Combination in Fe-4Mn-4Ni-3Al-0.1C Steel

Materials transactions, 2024-08, Vol.65 (8), p.852-860, Article MT-M2024045

2024

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Deep learning inter-atomic potential model for accurate irradiation damage simulations

Applied physics letters, 2019-06, Vol.114 (24)

2019

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Deep learning tight-binding approach for large-scale electronic simulations at finite temperatures with ab initio accuracy

Nature communications, 2024-08, Vol.15 (1), p.6772-12, Article 6772

2024

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Multi-UAV Data Collection and Path Planning Method for Large-Scale Terminal Access

Sensors (Basel, Switzerland), 2023-10, Vol.23 (20), p.8601

2023

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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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MSC Exosomes Containing Valproic Acid Promote Wound Healing by Modulating Inflammation and Angiogenesis

Molecules (Basel, Switzerland), 2024-09, Vol.29 (17), p.4281

2024

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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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Solving many-electron Schrödinger equation using deep neural networks

Phase Diagram of a Deep Potential Water Model

Deep Potential: A General Representation of a Many-Body Potential Energy Surface

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

DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models

DeePCG: Constructing coarse-grained models via deep neural networks

Energy management in a microgrid with distributed energy resources

Active learning of uniformly accurate interatomic potentials for materials simulation

Measuring imported case risk of COVID-19 from inbound international flights --- A case study on China

Accurate Deep Potential model for the Al–Cu–Mg alloy in the full concentration space

Raman spectrum and polarizability of liquid water from deep neural networks

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

Free energy of proton transfer at the water–TiO2 interface from ab initio deep potential molecular dynamics

The Disease Burden of Atrial Fibrillation in China from a National Cross-sectional Survey

Author Correction: Data-driven quantum chemical property prediction leveraging 3D conformations with Uni-Mol

Data-driven quantum chemical property prediction leveraging 3D conformations with Uni-Mol

The performance of a grid-tied microgrid with hydrogen storage and a hydrogen fuel cell stack

LncRNA DLX6-AS1 Contributes to Epithelial–Mesenchymal Transition and Cisplatin Resistance in Triple-negative Breast Cancer via Modulating Mir-199b-5p/Paxillin Axis

Processing-Microstructure-Property Relationship in Governing High Strength-High Ductility Combination in Fe-4Mn-4Ni-3Al-0.1C Steel

Deep learning inter-atomic potential model for accurate irradiation damage simulations

Deep learning tight-binding approach for large-scale electronic simulations at finite temperatures with ab initio accuracy

Multi-UAV Data Collection and Path Planning Method for Large-Scale Terminal Access

Deep neural network for the dielectric response of insulators

MSC Exosomes Containing Valproic Acid Promote Wound Healing by Modulating Inflammation and Angiogenesis

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

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