Jingzi Zhang

Harbin Institute of Technology

H指数:11

被引数:401

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Machine Learning for Superconductor Discovery: From Data-Driven Insights to Accelerated Design

机器学习在超导体发现中的应用：从数据驱动洞察到加速设计

ACS Omega

IF4.3

2026-05-220

High throughput generation of high-zT thermoelectrics with precise stoichiometric controls

高通量制备高zT热电材料并精确控制化学计量比

Nanoscale

IF5.1

2026-04-010

PRE

Machine Learning-Guided Discovery of High-Performance Perovskite Solar Cells via Cluster Analysis and Experimental Validation

机器学习引导的高性能钙钛矿太阳能电池的发现：通过聚类分析和实验验证

ACS Applied Materials & Interfaces

IF0

2026-03-310

PRE

Machine-learning guides discovery of multi-principal element alloys as electrocatalyst for hydrogen evolution reaction

机器学习指导了作为氢 evolution reaction 电解催化剂的多主元合金的发现

Acta Physico-Chimica Sinica

IF13.5

2025-12-040

PRE

Dual-model machine learning for collaborative optimization of efficiency and stability in perovskite solar cells

双模型机器学习用于钙钛矿太阳能电池效率和稳定性协同优化

Chemical Engineering Journal

IF13.2

2025-10-150

PRE

Machine Learning-Driven Perovskite Research from Experimental Exploration to Industrial Development

机器学习驱动的钙钛矿研究：从实验探索到工业发展

Solar RRL

IF4.7

2025-08-210

PRE

Free-standing nanoporous high-entropy phosphides as high-performance water splitting catalysts

自支撑纳米多孔高熵磷化物作为高性能水分解催化剂

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

IF8.3

2025-04-010

PRE

Integration of Microstructural Image Data into Machine Learning Models for Advancing High-Performance Perovskite Solar Cell Design

将微观结构图像数据集成到机器学习模型中，以推进高性能钙钛矿太阳能电池设计

ACS ENERGY LETTERS

IF18.2

2025-03-260

PRE

Inverse Design of High-Performance Thermoelectric Materials via a Generative Model Combined with Experimental Verification

通过生成模型结合实验验证的高性能热电材料的逆向设计

ACS APPLIED MATERIALS & INTERFACES

IF8.2

2025-03-200

PRE

Machine learning-assisted creep life prediction and empirical formula generation for 9-12% Cr steel

SCRIPTA MATERIALIA

IF5.6

2025-03-010

PRE

Carbon-modified multicomponent-doped Cr2O3 oxide: An efficient and ultra stable electrocatalyst for oxygen evolution reaction and water splitting

JOURNAL OF ELECTROANALYTICAL CHEMISTRY

IF4.1

2025-02-010

PRE

Enhancing Power Conversion Efficiency of Perovskite Solar Cells Through Machine Learning Guided Experimental Strategies

通过机器学习指导的实验策略提高钙钛矿太阳能电池的功率转换效率

ADVANCED FUNCTIONAL MATERIALS

IF19

2024-12-170

PRE

Enhancing Superconductor Critical Temperature Prediction: A Novel Machine Learning Approach Integrating Dopant Recognition

ACS APPLIED MATERIALS & INTERFACES

IF8.2

2024-10-250

PRE

Crystal structure graph neural networks for high-performance superconducting critical temperature prediction

用于高性能超导临界温度预测的晶体结构图神经网络

SCIENCE CHINA-MATERIALS

IF7.4

2024-08-230

PRE

Deep Generative Model for Inverse Design of High-Temperature Superconductor Compositions with Predicted T c > 77 K

预测的T c > 77 K的高温超导体成分逆设计的深度生成模型

ACS APPLIED MATERIALS & INTERFACES

IF8.2

2023-06-156

PRE

An integrated machine learning model for accurate and robust prediction of superconducting critical temperature

JOURNAL OF ENERGY CHEMISTRY

IF14.9

2023-03-019

PRE

Data-driven machine learning prediction of glass transition temperature and the glass-forming ability of metallic glasses

NANOSCALE

IF5.1

2023-01-012

PRE

Accurate and efficient machine learning models for predicting hydrogen evolution reaction catalysts based on structural and electronic feature engineering in alloys

NANOSCALE

IF5.1

2023-01-0117

PRE

Curvature effects on the bifunctional oxygen catalytic performance of single atom metal-N-C

NANOSCALE

IF5.1

2023-01-0118

PRE

Large Data Set-Driven Machine Learning Models for Accurate Prediction of the Thermoelectric Figure of Merit

用于精确预测热电优值的大型数据集驱动的机器学习模型

ACS APPLIED MATERIALS & INTERFACES

IF8.2

2022-12-0615

PRE

Jingzi Zhang

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