Shuaihua Lu

city university of hong kong

H指数:15

被引数:1,838

个人简介

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教育背景

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工作经历

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荣誉奖项

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Enantiomeric engineering of chiral perovskite interface for enhanced operational durability of perovskite solar cells

手性钙钛矿界面构型工程以增强钙钛矿太阳能电池的操作耐久性

Bulletin of the Korean Chemical Society

IF2.2

2026-05-010

OAAI

Breaking the data cage in generative materials discovery

在生成材料发现中打破数据笼

National Science Review

IF17.1

2026-03-260

Anti-dimerization 56π-electron fullerene adduct bearing bulky functional groups for inverted perovskite solar cells with enhanced interfacial stability

具有大体积官能团的抗二聚化56π电子富勒烯加合物，用于提高倒置钙钛矿太阳能电池界面稳定性的研究

NATIONAL SCIENCE REVIEW

IF17.1

2025-12-010

OAAI

Accurate prediction of synthesizability and precursors of 3D crystal structures via large language models

通过大型语言模型准确预测3D晶体结构的可合成性和前体

Nature Communications

IF15.7

2025-07-150

OAAI

From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learning (vol 15, 5391, 2024)

NATURE COMMUNICATIONS

IF15.7

2024-07-310

OAAI

From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learning

通过对抗性迁移学习从体有效质量到二维载流子迁移率的准确预测

NATURE COMMUNICATIONS

IF15.7

2024-06-254

OAAI

Universal machine learning aided synthesis approach of two-dimensional perovskites in a typical laboratory

典型实验室中二维钙钛矿的通用机器学习辅助合成方法

NATURE COMMUNICATIONS

IF15.7

2024-01-0213

OAAI

Accurate property prediction with interpretable machine learning model for small datasets via transformed atom vector

PHYSICAL REVIEW MATERIALS

IF3.4

2022-12-218

PRE

Two-Dimensional Perovskites with Tunable Room-Temperature Phosphorescence

具有可调室温磷光的二维钙钛矿

ADVANCED FUNCTIONAL MATERIALS

IF19

2022-07-2124

OAAI

A Universal Descriptor for Complicated Interfacial Effects on Electrochemical Reduction Reactions

电化学还原反应复杂界面效应的通用描述符

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

IF15.6

2022-06-1477

PRE

Inverse design with deep generative models: next step in materials discovery

使用深度生成模型的逆向设计: 材料发现的下一步

NATIONAL SCIENCE REVIEW

IF17.1

2022-06-119

OAAI

How computations accelerate electrocatalyst discovery

计算如何加速电催化剂发现

CHEM

IF19.6

2022-06-0133

OAAI

Accurate energy prediction of large-scale defective two-dimensional materials via deep learning

APPLIED PHYSICS LETTERS

IF3.6

2022-05-265

PRE

Accelerated Discovery of Single-Atom Catalysts for Nitrogen Fixation via Machine Learning

通过机器学习加速发现用于固氮的单原子催化剂

ENERGY & ENVIRONMENTAL MATERIALS

IF14.1

2022-04-0839

OAAI

On-the-fly interpretable machine learning for rapid discovery of two-dimensional ferromagnets with high Curie temperature

CHEM

IF19.6

2022-03-0152

OAAI

Accelerated design of promising mixed lead-free double halide organic-inorganic perovskites for photovoltaics using machine learning

NANOSCALE

IF5.1

2021-01-0133

PREAI

Coupling a Crystal Graph Multilayer Descriptor to Active Learning for Rapid Discovery of 2D Ferromagnetic Semiconductors/Half-Metals/Metals

将晶体图多层描述符耦合到主动学习，以快速发现2D铁磁半导体/半金属/金属

ADVANCED MATERIALS

IF26.8

2020-06-15111

PREAI

Perspective on theoretical methods and modeling relating to electro-catalysis processes

CHEMICAL COMMUNICATIONS

IF4.2

2020-01-0164

PREAI

Rapid Discovery of Ferroelectric Photovoltaic Perovskites and Material Descriptors via Machine Learning

通过机器学习快速发现铁电光伏钙钛矿和材料描述符

SMALL METHODS

IF9.1

2019-06-2692

PREAI

Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning

通过机器学习加速发现稳定的无铅杂化有机-无机钙钛矿

NATURE COMMUNICATIONS

IF15.7

2018-08-24557

OAAI

Shuaihua Lu

个人简介

教育背景

工作经历

荣誉奖项

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