During October 21-24, the IEEE NMDC International Conference was held in Paestum, Italy. The LNQE member, Prof. Xiaoying Zhuang, from Leibniz University Hannover, Chair of Computational Science and Simulation Technology, delivered a plenary speech focusing on machine learning based multiscale exploration and characterization of 2D materials. Prof. Zhuang is appointed as Distiguished Lecturer of IEEE Nanotechnology Council for 2023-2024.
The team of Prof. Xiaoying Zhuang developed machine-learning interatomic potentials (MLIPs) passively fitted to computationally inexpensive ab-initio datasets which can be to evaluate the complex physical properties of nanostructured materials, with only a fractional computational cost of conventional DFT-based solutions, cutting down from months to tens of hours. Their works show outstanding and robust potential to develop fully automated platforms, to design, optimize, and explore various properties of 2D materials and structures at continuum level, and with inherent precision and robustness. The presentation was successful and has received many feedbacks and discussion for collaborations.
LNQE member Prof. Xiaoying Zhuang received Bathe Prize 2023 in recognition of her achievement in computational solid mechanics.
