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浙东物理前沿讲坛第215讲
发布时间: 2024-07-11 10:07
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浙东物理前沿讲坛第215

Defect Control and Materials Design for Semiconductors

半导体的缺陷调控和材料设计


时间:2024711日下午1:30

地点:北楼314报告厅

报告人:尹万健教授(苏州大学)

Wan-Jian Yin

College of Energy, Soochow University, Suzhou, 215006, China

Shanghai Qi Zhi Institute, Shanghai, 200232, China

Abstract: Semiconductors are the central materials for optoelectronic and energy conversion devices. The key to their functionality lies in defects. I this talk, I will first introduce the defect tolerance characteristics we discovered in halide optoelectronic semiconductors using computational methods and explain their physical origins. Next, I will discuss the forward materials design through solving quantum mechanical equations and symbolic regression machine learning methods. Among these, the designed electrocatalytic water splitting material has been experimentally synthesized and demonstrated high catalytic activity. Finally, I will introduce our recently developed inverse materials design approach based on universal neural network potentials, which has been applied to materials design with high cohesive energy and high bulk modulus.


Biography: Prof. Wan-Jian Yin a professor at Soochow University, holds a Bachelor's degree (2004) and a Ph.D. (2009) from Fudan University. He completed postdoctoral and research assistant professor positions at the National Renewable Energy Laboratory and the University of Toledo in the United States. He was recognized as a Youth Talent 1000 in 2015 and an Elsevier Highly Cited Researcher in Physics in 2021. He has led several projects funded by the National Natural Science Foundation of China and the Jiangsu Provincial Outstanding Youth Science Foundation, and has participated in multiple national key research and development programs. His primary research areas are computational physics and computational materials science, with significant original contributions to solar cell materials, semiconductor defect physics, and the design of new materials using high-throughput computing and machine learning. In the past five years, he has published 30 papers as (co-)corresponding author in journals such as Nature Communications, Chem, EES, and Advanced Materials. His papers have been cited over 17,000 times, with two papers cited more than 2,000 times each. He has received several awards, including the Youth Award in Computational Materials Science from the Chinese Materials Research Society (2021), the Rising Star Nomination Award from Computational Materials Science (2020).