Physics-informed相关论文
Neural networks with physical governing equations as constraints have recently created a new trend in machine learning r......
Physics-constrained bayesian neural network for fluid flow reconstruction with sparse and noisy data
In many applications, flow measurements are usually sparse and possibly noisy. The reconstruction of a high-resolution f......
Physics-informed deep learning has drawn tremendous interest in recent years to solve computational physics problems,who......
