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Department of Earth Sciences

 
Materials physics of Earth and planetary materials.
Structure – property relations of minerals and solids under extreme pressure and temperature conditions: design and prediction of minerals and materials structure using density functional theory and crystal structure prediction.
Applications of artificial intelligence and machine learning to Earth and environmental data.

Biography

2013-2017 Majored in Condensed Matter Physics, State Key Laboratory of Superhard Materials, Department of Physics, Jilin University, Changchun, China

Research

  • Applications of artificial intelligence and machine learning to environmental risk, with a focus on geo-hazards and energy materials.
  • High Pressure Planetary and Materials Sciences

  • Structure and properties of materials under extreme conditions: design of functional materials based on density functional theory and crystal structure prediction.

Publications

Key publications: 

Research Student
Affiliated student with AI4ER (For more information about the CDT please visit the website (https://ai4er-cdt.esc.cam.ac.uk/))
 Xiaolei  Feng

Contact Details

Email address: 
M27
+44 (0) 1223 330670

Affiliations

Specialities: 
Person keywords: 
Mineralogy
Mineral Physics
Computer Simulations
Subject: