Xue JiaPh.D.
| Job | Assistant Professor, AIMR |
|---|---|
| Group | Mathematical Science Group |
| Laboratory | Li Laboratory |
| Address | Room 4A, AIMR Main Building, Katahira Campus (2-1-1, Katahira, Aoba-ku, Sendai 980-8577) |
| Tel | +81-22-217-6371 |
| jia.xue.d8@tohoku.ac.jp |
Research Interests
- Materials design based on machine learning
- Functional materials (e.g. thermoelectric materials)
Related Information
- 11/17/2025 Press Releases Interpretable Machine Intelligence for Materials Design of Metal Hydrides
- 10/22/2025 Press Releases Decoding How pH Controls the Chemistry of Clean Energy
- 10/03/2025 Press Releases Artificial Intelligence Technology in Environmental Research and Health
- 09/03/2025 Press Releases Using AI to Improve Nickel Catalysts for Converting Carbon Dioxide into Methane
- 07/31/2025 Press Releases AI-powered Materials Map Speeds Up Materials Discovery
- 07/04/2025 Press Releases Machine Learning Potential-Driven Insights into pH-Dependent CO2 Reduction
- 07/02/2025 Press Releases Data-Driven Strategies to Advance Methane Pyrolysis Catalysts
- 05/29/2025 Press Releases Digital Discovery Unlocks Durable Catalyst for Acidic Water Splitting
- 05/08/2025 Press Releases Advancing Electrocatalyst Discovery Through the Lens of Data Science
- 03/11/2025 Press Releases Gd-Induced Oxygen Vacancy Activates Lattice Oxygen Oxidation for Water Electrolysis
- 02/26/2025 Press Releases Researchers Uncover Key Insights into CO2 Reduction Using SnO-Based Electrocatalysts
- 01/15/2025 Press Releases Researchers Unlock New Insights into Tin-Based Catalysts for Electrochemical CO2 Reduction
- 07/09/2024 Media & Award Dr. Xue Jia conferred the title of Tohoku University Prominent Research Fellow
- 05/22/2024 Press Releases Machine Learning Accelerates Discovery of High-Performance Metal Oxide Catalysts
- 03/25/2024 Press Releases Rectifying AI’s Usage in the Quest for Thermoelectric Materials
- 08/24/2023 Press Releases Researchers Develop Framework to Guide Electrolyte Design for Advanced Batteries