Postdoctoral researchers
Best fit for candidates who can lead a concrete materials question, write clearly, and connect mechanisms to high-quality publications.
Members
The Inverse Materials Design group is a focused computational materials team working on hard-carbon anodes, ion-carbon interactions, machine-learning potentials, and first-principles design rules that can be tested by experimental partners.
Current Members
Current work is centered on carbon anodes, electrolyte materials, ion storage mechanisms, local chemistry, and workflow development for first-principles, molecular-dynamics, and machine-learning-based materials modeling.
Ihor received his PhD from the Singapore University of Technology and Design in 2018 and later conducted research at Xi'an Jiaotong University. In the group, he develops theoretical descriptions of hard-carbon anode materials for Na-ion batteries.
Papers and outputs (4)
Andrés received his PhD from the Autonomous University of Barcelona in 2025. His work in the group focuses on hard-carbon materials for Na-ion batteries and the transferability of machine-learning models for complex carbon chemistry.
Papers and outputs (1)
Gabriel joined the group after completing his PhD at AGH University of Krakow. His current work focuses on hard-carbon electrode materials for sodium-ion batteries.
Papers and outputsNo group publications or manuscripts are listed in the current record.
Du He is a PhD student at Fuzhou University/Qingyuan Innovation Laboratory, co-supervised with Prof. Yuxin Tang. His project focuses on inverse design of electrolyte materials.
Papers and outputs (4)
Zheng Yongben is a master student at Fuzhou University/Qingyuan Innovation Laboratory. His work uses electronic-structure theory to design new electrode materials for metal-ion batteries.
Papers and outputs (1)
Chen Yichao is a master student at Fuzhou University/Qingyuan Innovation Laboratory, co-supervised with Prof. Yuxin Tang. His project uses electronic-structure theory to design new electrode materials for metal-ion batteries.
Papers and outputs (2)
Yang Quangang is a master student at Fuzhou University/Qingyuan Innovation Laboratory, co-supervised with Prof. Yuxin Tang. He focuses on hard-carbon electrode materials for metal-ion batteries.
Papers and outputsNo group publications or manuscripts are listed in the current record.
Wei Xiangzai is a master student at Fuzhou University/Qingyuan Innovation Laboratory, co-supervised with Prof. Yuxin Tang. His work applies electronic-structure theory to design new electrode materials for metal-ion batteries.
Papers and outputsNo group publications or manuscripts are listed in the current record.
Hong Xin is a master student at Fuzhou University/Qingyuan Innovation Laboratory, co-supervised with Prof. Yuxin Tang. Hong Xin works on AI methods for metal-ion batteries.
Papers and outputsNo group publications or manuscripts are listed in the current record.
Tang Zhipeng is a master student at Fuzhou University/Qingyuan Innovation Laboratory, co-supervised with Prof. Yuxin Tang. Tang Zhipeng works on AI methods for metal-ion batteries.
Papers and outputsNo group publications or manuscripts are listed in the current record.
Chen Jiale is a master student at Fuzhou University/Qingyuan Innovation Laboratory, co-supervised with Prof. Yuxin Tang. Chen Jiale works on AI methods for metal-ion batteries.
Papers and outputsNo group publications or manuscripts are listed in the current record.
Feng Shaopeng is a master student at Fuzhou University/Qingyuan Innovation Laboratory, co-supervised with Prof. Yuxin Tang. Feng Shaopeng works on AI methods for metal-ion batteries.
Papers and outputsNo group publications or manuscripts are listed in the current record.
Joining the Group
Openings depend on project funding and are reviewed regularly. Strong applicants usually combine curiosity, careful computational practice, and a willingness to connect calculations to experimental questions.
Best fit for candidates who can lead a concrete materials question, write clearly, and connect mechanisms to high-quality publications.
Best fit for students interested in solid-state physics, first-principles calculations, Python workflows, and reproducible computational research.
Best fit for experimental or theory partners who need atomic mechanisms, descriptors, or design rules for materials that are already being tested.