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Institute of Energy Technologies (IET)

Theory and Computation of Energy Materials (IET-3)

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    • Computational Materials Modeling
      • Artificial Material Intelligence
        • Physical Modeling and Diagnostics
          • Theory of electrochemical interfaces and materials
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                              Divisions

                              Divisions

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                              Computational Materials Modeling

                              Using supercomputing infrastructure and state-of-the-art atomistic simulations we deliver molecular-level insight into phenomena that drive the performance of energy materials.

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                              Artificial Material Intelligence

                              Accelerating discovery, design and integration of new electrochemical energy materials by extracting knowledge from large-scale data assets and utilizing advanced AI-driven models.

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                              Physical Modeling and Diagnostics

                              Physical-mathematical models of performance and degradation in electrodes and cells of electrochemical energy devices and model-based diagnostic methods and tools.

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                              Theory of electrochemical interfaces and materials

                              Develop models for dynamic materials phenomena in electrochemical systems and solve them using methods from theoretical and mathematical physics.

                              Last Modified: 29.06.2024

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