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Metallization of hydrogen by intercalating ammonium ions in metal fcc lattices at lower pressure

Applied physics letters, 2022-11, Vol.121 (19)

2022

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Lagrange’s Mathematical Equations in the Sports Training of College Students

Applied mathematics and nonlinear sciences, 2023-01, Vol.8 (1), p.363-372

Wan, Zhongyu

2023

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Predicted superconductivity and superionic state in the electride Li5N under high pressure

New journal of physics, 2022-11, Vol.24 (11), p.113012

2022

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Quantitative structure-property relationship of standard enthalpies of nitrogen oxides based on a MSR and LS-SVR algorithm predictions

Journal of molecular structure, 2020-12, Vol.1221, p.128867, Article 128867

Wan, Zhongyu

2020

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Multi-Water Source Joint Scheduling Model Using a Refined Water Supply Network: Case Study of Tianjin

Water (Basel), 2018-11, Vol.10 (11), p.1580

2018

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Development of machine learning models for the prediction of laminar flame speeds of hydrocarbon and oxygenated fuels

Fuel communications, 2022-09, Vol.12, p.100071, Article 100071

2022

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ANALYSIS METHOD OF COLLEGE SPORTS ATHLETES’ PSYCHOLOGICAL STATE BEFORE COMPETITION BASED ON BEHAVIORAL PSYCHOLOGY

Psychiatria Danubina, 2021, Vol.33 (suppl 5), p.209

Wan, Zhongyu

2021

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Calculation of ecological water requirements of urban rivers using a hydrological model: A case study of Beiyun River

Journal of cleaner production, 2020-07, Vol.262, p.121368, Article 121368

2020

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Machine Learning Prediction of the Exfoliation Energies of Two-Dimension Materials via Data-Driven Approach

The journal of physical chemistry letters, 2021-11, Vol.12 (46), p.11470-11475

2021

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Predicted superconductivity and superionic state in the electride Li 5 N under high pressure

New journal of physics, 2022-11, Vol.24 (11), p.113012

2022

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Effectively improving the accuracy of PBE functional in calculating the solid band gap via machine learning

Computational materials science, 2021-10, Vol.198, p.110699, Article 110699

2021

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A Q‐learning method based on coarse‐to‐fine potential energy surface for locating transition state and reaction pathway

Journal of computational chemistry, 2024-03, Vol.45 (8), p.487-497

2024

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Accurate prediction of enthalpy of formation combined with AM1 method and molecular descriptors

Chemical physics letters, 2020-05, Vol.747, p.137327, Article 137327

2020

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Accelerating the optimization of enzyme-catalyzed synthesis conditions machine learning and reactivity descriptors

Organic & biomolecular chemistry, 2021-07, Vol.19 (28), p.6267-6273

2021

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Data-driven machine learning model for the prediction of oxygen vacancy formation energy of metal oxide materials

Physical chemistry chemical physics : PCCP, 2021-07, Vol.23 (29), p.15675-15684

2021

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Discovery of ester lubricants with low coefficient of friction on material surface via machine learning

Chemical physics letters, 2021-06, Vol.773, p.138589, Article 138589

2021

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Prediction of band gap for 2D hybrid organic-inorganic perovskites by using machine learning through molecular graphics descriptors

New journal of chemistry, 2021-06, Vol.45 (21), p.9427-9433

2021

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Quantum criticality in spin-1/2 anisotropic XY model with staggered Dzyaloshinskii–Moriya interaction

Physica A, 2022-05, Vol.594, p.127005, Article 127005

2022

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Accurate prediction of standard enthalpy of formation based on semiempirical quantum chemistry methods with artificial neural network and molecular descriptors

International journal of quantum chemistry, 2021-01, Vol.121 (2), p.n/a

2021

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Accelerating the optimization of enzyme-catalyzed synthesis conditions via machine learning and reactivity descriptors

Organic & biomolecular chemistry, 2021-07, Vol.19 (28), p.6267-6273

2021

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As-Li electrides under high pressure: Superconductivity, plastic, and superionic states

Physical review. B, 2022-08, Vol.106 (6), Article L060506

2022

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Machine learning prediction of stability, topological properties and band gap of topological insulators in tetradymites

Physics letters. A, 2021-09, Vol.409, p.127508, Article 127508

2021

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Machine learning prediction of the optimal carrier concentration and band gap of quaternary thermoelectric materials via element feature descriptors

International journal of quantum chemistry, 2021-09, Vol.121 (18), p.n/a

2021

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Notice of Retraction: The Theory and Method of Basketball Player Physical Ability Training

2011 Third Pacific-Asia Conference on Circuits, Communications and System (PACCS), 2011, p.1-4

Wan, Zhongyu

2011

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IEEE_Xplore

The tectonic differences between the east and the west in the deep-water area of the northern South China Sea

Acta oceanologica Sinica, 2016, Vol.35 (1), p.86-95

2016

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Metallization of hydrogen by intercalating ammonium ions in metal fcc lattices at lower pressure

Lagrange’s Mathematical Equations in the Sports Training of College Students

Predicted superconductivity and superionic state in the electride Li5N under high pressure

Quantitative structure-property relationship of standard enthalpies of nitrogen oxides based on a MSR and LS-SVR algorithm predictions

Multi-Water Source Joint Scheduling Model Using a Refined Water Supply Network: Case Study of Tianjin

Development of machine learning models for the prediction of laminar flame speeds of hydrocarbon and oxygenated fuels

ANALYSIS METHOD OF COLLEGE SPORTS ATHLETES’ PSYCHOLOGICAL STATE BEFORE COMPETITION BASED ON BEHAVIORAL PSYCHOLOGY

Calculation of ecological water requirements of urban rivers using a hydrological model: A case study of Beiyun River

Machine Learning Prediction of the Exfoliation Energies of Two-Dimension Materials via Data-Driven Approach

Predicted superconductivity and superionic state in the electride Li 5 N under high pressure

Effectively improving the accuracy of PBE functional in calculating the solid band gap via machine learning

A Q‐learning method based on coarse‐to‐fine potential energy surface for locating transition state and reaction pathway

Accurate prediction of enthalpy of formation combined with AM1 method and molecular descriptors

Accelerating the optimization of enzyme-catalyzed synthesis conditions machine learning and reactivity descriptors

Data-driven machine learning model for the prediction of oxygen vacancy formation energy of metal oxide materials

Discovery of ester lubricants with low coefficient of friction on material surface via machine learning

Prediction of band gap for 2D hybrid organic-inorganic perovskites by using machine learning through molecular graphics descriptors

Quantum criticality in spin-1/2 anisotropic XY model with staggered Dzyaloshinskii–Moriya interaction

Accurate prediction of standard enthalpy of formation based on semiempirical quantum chemistry methods with artificial neural network and molecular descriptors

Accelerating the optimization of enzyme-catalyzed synthesis conditions via machine learning and reactivity descriptors

As-Li electrides under high pressure: Superconductivity, plastic, and superionic states

Machine learning prediction of stability, topological properties and band gap of topological insulators in tetradymites

Machine learning prediction of the optimal carrier concentration and band gap of quaternary thermoelectric materials via element feature descriptors

Notice of Retraction: The Theory and Method of Basketball Player Physical Ability Training

The tectonic differences between the east and the west in the deep-water area of the northern South China Sea

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