Yaolong Zhang

发表

Efficient and Accurate Simulations of Vibrational and Electronic Spectra with Symmetry-Preserving Neural Network Models for Tensorial Properties.

Yaolong Zhang, Sheng Ye, Jinxiao Zhang, 2020, The journal of physical chemistry. B.

Efficient and Accurate Spectroscopic Simulations with Symmetry-Preserving Neural Network Models for Tensorial Properties

Yaolong Zhang, Sheng Ye, Jinxiao Zhang, 2020, 2004.13605.

Accelerating atomistic simulations with piecewise machine-learned ab Initio potentials at a classical force field-like cost.

Yaolong Zhang, Ce Hu, B. Jiang, 2020, Physical chemistry chemical physics : PCCP.

Towards Efficient and Accurate Spectroscopic Simulations in Extended Systems with Symmetry-Preserving Neural Network Models for Tensorial Properties

Yaolong Zhang, Sheng Ye, Jinxiao Zhang, 2020 .

Strong Vibrational Relaxation of NO Scattered from Au(111): Importance of the Adiabatic Potential Energy Surface.

Yaolong Zhang, B. Jiang, Rongrong Yin, 2019, The journal of physical chemistry letters.

Adiabatic and nonadiabatic energy dissipation during scattering of vibrationally excited CO from Au(111)

Hua Guo, Yaolong Zhang, B. Jiang, 2019, Physical Review B.

The main problems and solutions in practical application of anode materials for sodium ion batteries and the latest research progress

Xueye Chen, Yaolong Zhang, 2021, International Journal of Energy Research.

Dielectrophoretic microfluidic device for separation of red blood cells and platelets: a model-based study

Xueye Chen, Yaolong Zhang, 2020, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Two-stage particle separation channel based on standing wave surface acoustic wave

Xueye Chen, Yaolong Zhang, 2021 .

Accurate Machine Learning Prediction of Protein Circular Dichroism Spectra with Embedded Density Descriptors

Yaolong Zhang, Sheng Ye, Jinxiao Zhang, 2021, JACS Au.

A novel study on separation of particles driven in two steps based on standing surface acoustic waves

Xueye Chen, Yaolong Zhang, Honglin Lv, 2022, Chaos, Solitons & Fractals.

Automatically growing global reactive neural network potential energy surfaces: A trajectory-free active learning strategy.

Bin Jiang, Bin Zhao, Qidong Lin, 2020, The Journal of chemical physics.

High-performance Quasi − Solid − State hybrid supercapacitor for Self − powered strain sensor based on poly (3, 4 − propylenedioxythiophene)/NiS2@Hollow carbon sphere composite and sulfonated cellulose hydrogel electrolyte

Yaolong Zhang, Ruxangul Jamal, Tursun Abdiryim, 2023, Applied Surface Science.

Fabrication of multifunctional polymethyl methacrylate composites based on phosphorus‐containing polyaniline with excellent flame retardancy and electrical conductivity

Lixin Li, Yaolong Zhang, Li Wang, 2020, Polymers for Advanced Technologies.

Atomistic neural network representations for chemical dynamics simulations of molecular, condensed phase, and interfacial systems: Efficiency, representability, and generalization

Yaolong Zhang, Qidong Lin, Bin Jiang, 2022, WIREs Computational Molecular Science.

Improving the flame retardancy and electrical conductivity of epoxy resin composites by multifunctional phosphorus-containing polyaniline

Yaolong Zhang, Yue Zhang, Yue Zhang, 2020 .

Towards bridging the structure gap in heterogeneous catalysis: the impact of defects in dissociative chemisorption of methane on Ir surfaces.

Hua Guo, Yaolong Zhang, B. Jiang, 2021, Physical chemistry chemical physics : PCCP.

Efficient Construction of Excited-State Hessian Matrices with Machine Learning Accelerated Multi-Layer Energy-Based Fragment Method.

Yaolong Zhang, B. Jiang, W. Fang, 2020, The journal of physical chemistry. A.

A Comprehensive Review on Metal-Oxide Nanocomposites for High-Performance Lithium-Ion Battery Anodes

Xueye Chen, Yaolong Zhang, Yao Chen, 2021 .

Searching Configurations in Uncertainty Space: Active Learning of High-Dimensional Neural Network Reactive Potentials.

Yaolong Zhang, B. Jiang, Qidong Lin, 2021, Journal of chemical theory and computation.

Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation.

Bin Jiang, Yaolong Zhang, Ce Hu, 2019, The journal of physical chemistry letters.

Insights into a deterministic lateral displacement sorting chip with new cross-section micropillars

Xueye Chen, Yaolong Zhang, Q. Feng, 2022, Chaos, Solitons & Fractals.

Simulation analysis of mixing in passive microchannel with fractal obstacles based on Murray's law

Xueye Chen, Yaolong Zhang, Jinyuan Wang, 2021, Computer methods in biomechanics and biomedical engineering.

Two‐stage particle separation channel based on standing surface acoustic wave

Xueye Chen, Yaolong Zhang, Xiangwei Zeng, 2022, Journal of microscopy.

A Self-powered UV Photodetector from Poly(3,4-ethylenedioxyselenophene)/Au Nanoparticles-ZnO Nanoarrays Heterojunction

Yaolong Zhang, Fangfei Liu, Ruxangul Jamal, 2023, Sensors and Actuators A: Physical.

REANN: A PyTorch-based end-to-end multi-functional deep neural network package for molecular, reactive, and periodic systems.

Yaolong Zhang, Bin Jiang, Jun Xia, 2021, The Journal of chemical physics.

Accurate and Interpretable Dipole Interaction Model-Based Machine Learning for Molecular Polarizability.

Yaolong Zhang, Yong Zhou, Bin Jiang, 2023, Journal of chemical theory and computation.

Efficient and Accurate Simulations of Vibrational and Electronic Spectra with Symmetry-Preserving Neural Network Models for Tensorial Properties.

Yaolong Zhang, Sheng Ye, Jinxiao Zhang, 2020, The journal of physical chemistry. B.

Physically Motivated Recursively Embedded Atom Neural Networks: Incorporating Local Completeness and Nonlocality.

Yaolong Zhang, B. Jiang, Jun Xia, 2021, Physical review letters.

Unified and transferable description of dynamics of H2 dissociative adsorption on multiple copper surfaces via machine learning.

Yaolong Zhang, B. Jiang, Xueyao Zhou, 2020, Physical chemistry chemical physics : PCCP.

Dissociative Chemisorption of O2 on Al(111): Dynamics on a Correlated Wave-Function-Based Potential Energy Surface

E. Carter, Hua Guo, Yaolong Zhang, 2018, Journal of Physical Chemistry Letters.

Accelerating the Construction of Neural Network Potential Energy Surfaces: A Fast Hybrid Training Algorithm†

Bin Jiang, Yaolong Zhang, Xueyao Zhou, 2017 .

Neural Network Representations for Studying Gas‐Surface Reaction Dynamics: Beyond the Born‐Oppenheimer Static Surface Approximation †

Yaolong Zhang, Ce Hu, B. Jiang, 2021, Chinese Journal of Chemistry.

Constructing High-Dimensional Neural Network Potential Energy Surfaces for Gas–Surface Scattering and Reactions

Hua Guo, Bin Jiang, Xuan Luo, 2018 .

CO2-expanded liquid assisted self-assembly between Disperse Red 1 and PS-b-P4VP

Yaolong Zhang, Xiaofang Zheng, Y. Li, 2016 .

Dissociative chemisorption of methane on Ni(111) using a chemically accurate fifteen dimensional potential energy surface.

G. Kroes, Hua Guo, Yaolong Zhang, 2017, Physical chemistry chemical physics : PCCP.

Blood cells separation microfluidic chip based on dielectrophoretic force

Xueye Chen, Yaolong Zhang, 2020 .

Particle separation in microfluidics using different modal ultrasonic standing waves

Xueye Chen, Yaolong Zhang, 2021, Ultrasonics sonochemistry.

A Machine-Learning Protocol for Ultraviolet Protein-Backbone Absorption Spectroscopy under Environmental Fluctuations.

S. Mukamel, Yaolong Zhang, Sheng Ye, 2021, The journal of physical chemistry. B.

Dissociative Chemisorption of O2 on Al(111): Dynamics on a Correlated Wave-Function-Based Potential Energy Surface

E. Carter, Hua Guo, Yaolong Zhang, 2018, The journal of physical chemistry letters.

New Perspectives on CO2–Pt(111) Interaction with a High-Dimensional Neural Network Potential Energy Surface

Hua Guo, Yaolong Zhang, B. Jiang, 2020 .

Universal Machine Learning for the Response of Atomistic Systems to External Fields

Yaolong Zhang, Bin Jiang, 2023, 2304.07712.

Efficient Selection of Linearly Independent Atomic Features for Accurate Machine Learning Potentials

Yaolong Zhang, B. Jiang, Jun Xia, 2021, Chinese Journal of Chemical Physics.

Bridging the Efficiency Gap Between Machine Learned Potentials with ab initio Accuracy and Classical Force Fields

Yaolong Zhang, Ce Hu, B. Jiang, 2020, 2006.16482.

The mixing performance of passive micromixers with smart-rhombic units

Xueye Chen, Yaolong Zhang, 2020, Journal of Dispersion Science and Technology.

Photoinduced Desorption Dynamics of CO from Pd(111): A Neural Network Approach

J. I. Juaristi, Yaolong Zhang, B. Jiang, 2021, Journal of chemical theory and computation.

A Comparison Analysis of Spatial Structure of Traditional Chinese and Korean Residences Based on Spatial Syntax

Yang Chen, Jingjing Wang, Yaolong Zhang, 2019, IOP Conference Series: Earth and Environmental Science.

Vibrational control of selective bond cleavage in dissociative chemisorption of methanol on Cu(111)

Yaolong Zhang, B. Jiang, Xueyao Zhou, 2018, Nature Communications.

Determining the Effect of Hot Electron Dissipation on Molecular Scattering Experiments at Metal Surfaces

R. Maurer, Yaolong Zhang, B. Jiang, 2020, JACS Au.

Symmetry-Adapted High Dimensional Neural Network Representation of Electronic Friction Tensor of Adsorbates on Metals

R. Maurer, Yaolong Zhang, B. Jiang, 2019, The Journal of Physical Chemistry C.

Automatically growing global reactive neural network potential energy surfaces: A trajectory-free active learning strategy.

Yaolong Zhang, B. Jiang, Bin Zhao, 2020, The Journal of chemical physics.

Hot-electron effects during reactive scattering of H2 from Ag(111): the interplay between mode-specific electronic friction and the potential energy landscape

R. Maurer, Hua Guo, Yaolong Zhang, 2018, Chemical science.

Stereodynamics of adiabatic and non-adiabatic energy transfer in a molecule surface encounter.

R. Maurer, Yaolong Zhang, A. Wodtke, 2022, Physical chemistry chemical physics : PCCP.

Dynamics of H2O Adsorption on Pt(110)-(1 × 2) Based on a Neural Network Potential Energy Surface

Yaolong Zhang, Ce Hu, B. Jiang, 2020 .

Hot electron effects during reactive scattering of H2 from Ag(111): assessing the sensitivity to initial conditions, coupling magnitude, and electronic temperature.

R. Maurer, Hua Guo, Yaolong Zhang, 2019, Faraday discussions.

Progress in research on land use and soil erosion in the Loess Plateau of China

Yaolong Zhang, Wanfeng Liu, Jianxiang Zhang, 2019, IOP Conference Series: Earth and Environmental Science.

Accelerating atomistic simulations with piecewise machine-learned ab Initio potentials at a classical force field-like cost.

Yaolong Zhang, Ce Hu, B. Jiang, 2020, Physical chemistry chemical physics : PCCP.

Fabrication of donor‐acceptor‐donor type conjugated polymers@double‐layered hollow carbon spheres composite as PtCu alloy catalyst support for MOR

Yaolong Zhang, Haile Liu, Ruxangul Jamal, 2022, International Journal of Energy Research.

Universal machine learning for the response of atomistic systems to external fields

Yaolong Zhang, Bin Jiang, 2023, Nature communications.