The fundamental nature of living things challenges assumptions that physicists have held for centuries.
Abstract: We employ physics-informed neural networks (PINNs) to quantify the microstructure of polycrystalline nickel by computing the spatial variation of compliance coefficients (compressibility, ...
Abstract: It is challenging to apply deep learning in professional fields that lack big data support, especially in industrial structure health assessments using ultrasonic guided wave nondestructive ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback