The TCN group is launching an activity on marrying Artificial Intelligence with its activities and numerical tools to access charge transport information in complex (disordered) van der Waals heterostructures. The project will contribute to the establishement of such a platform and interface with in-house computational artillery of TCN (www.lsquant.org) and to demonstrate predictive power of the methology on neurmorphic computing applications.Main Tasks and responsibilities:
- Perform DFT simualtions on 2D materials such as trasition metal dichalcogenides.
- Develop machine learning potentials and molecular dynamics simulations.
- Contribute to the implementation of developed tools on the in-house LSQUANT code (www.lsquant.org) and computing architecture of TCN/ICN2.
Deadline for applications: 31 July 2024
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