Eckhardt, Janis Kevin
Data-Driven Materials Research for Electrochemical Energy Storage and Semiconductor Technologies
The Eckhardt group focuses on understanding microstructure-property relationships in solid state systems. Using various modeling approaches, advanced statistical methods, and machine learning techniques, large datasets are generated or analyzed to unravel the relationships between material structure, (transport) processes, and functional properties. The goal is to develop data-driven approaches that accelerate both materials research and the development of innovative technologies. The interdisciplinary research combines theory and experiment in physics, chemistry, materials science, data science and applied computer science to create sustainable solutions for future-oriented applications.
(Illustration: Elisa Monte)
Contact
Dr. Janis K. Eckhardt
Center for Materials Research
Phone: +49 641 - 99 33318
Fax:
Heinrich Buff-Ring 16, room 441
D-35392 Gießen
Email: janis.k.eckhardt@theo.physik.uni-giessen.de | Homepage
Applications/Functionalities:
- Energy Storage and Conversion
- Semiconductor Devices
- Sustainable Materials
- Thermoelectrics
Methods:
- Electric Transport
- Electrochemical Measurements
- Kinetic Monte Carlo Method
- Artificial Intelligence
- Machine Learning
- Network Models
- Theoretical Methods
- Thermic Transport
Classes of Materials:
- Solid Electrolytes / mixed Conductors
- Solid-State Batteries
- Semiconductors
- Composite Materials
- Metal Anodes