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physics.comp-ph2020
MFPC-Net: Multi-fidelity Physics-Constrained Neural Process
Yating Wang, Guang Lin
In this work, we propose a network which can utilize computational cheap low-fidelity data together with limited high-fidelity data to train surrogate models, where the multi-fidel…
physics.comp-ph2020
Multi-Fidelity Gaussian Process based Empirical Potential Development for Si:H Nanowires
Moonseop Kim, Huayi Yin, Guang Lin
In material modeling, the calculation speed using the empirical potentials is fast compared to the first principle calculations, but the results are not as accurate as of the first…