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K

Kuo Wang

Gyeongsang National University

H指数:5

被引数:122

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Machine Learning-Driven Discovery and Experimental Validation of Effective Precursor Additives in Perovskite Solar Cells

机器学习驱动的钙钛矿太阳能电池中有效前驱体添加剂的发现与实验验证

IF11

2026-10-020

OAAI

Electrospinning Preparation of Silk Fibroin/Titanium-Based Photocatalytic Fiber Membrane for Bacteria Disinfection in Wastewater

电纺丝法制备丝素蛋白/钛基光催化纤维膜用于废水中的细菌消毒

IF4.9

2026-08-120

OA

Efficient adsorption and photocatalytic removal of tetracycline hydrochloride from heterojunction composite photocatalysts under visible light through multi-radical synergistic effects

在可见光下，通过多自由基协同效应，异质结复合光催化剂对盐酸四环素的高效吸附和光催化去除

Sustainable Materials and Technologies

IF9.2

2026-02-100

PRE

Machine-learning-guided high-throughput design of asymmetric A–DA′D–A acceptors toward efficient organic solar cells

IF0

2026-01-230

PRE

A high-throughput screening frame of polymer donor for efficient organic solar cell constructed by machine learning with encoded frequency molecular fingerprint

基于机器学习和编码频率分子指纹构建的高通量筛选聚合物给体框架，用于高效有机太阳能电池

Dyes and Pigments

IF4.2

2025-11-170

PRE

Evaluation of the effect of substrate structure on the passive soot oxidation and NOx reduction of DPF coated with SCO-SCR catalyst

评估基底结构对涂覆SCO-SCR催化剂的DPF中被动烟灰氧化和NOx还原效果的影响

Process Safety and Environmental Protection

IF7.8

2025-06-150

PRE

Highly efficient photocatalytic inactivation of flowing bioaerosol by using visible light-assisted titanium-based composite: Application and mechanism

可见光辅助钛基复合材料高效光催化灭活流动生物气溶胶: 应用与机理

JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY A-CHEMISTRY

IF4.7

2025-06-010

PRE

Quantitative Analysis of Perovskite Morphologies Employing Deep Learning Framework Enables Accurate Solar Cell Performance Prediction

利用深度学习框架对钙钛矿形貌进行定量分析，能够实现对太阳能电池性能的准确预测

IF12.1

2025-03-200

PRE

Combination of Transfer Learning and Chemprop Interpreter with Support of Deep Learning for the Energy Levels of Organic Photovoltaic Materials Prediction and Regulation

ACS APPLIED MATERIALS & INTERFACES

IF8.2

2024-11-200

PRE

Construction frontier molecular orbital prediction model with transfer learning for organic materials

NPJ COMPUTATIONAL MATERIALS

IF11.9

2024-09-110

OA