In an approach reminiscent of the classic board game "Battleship," Stanford researchers have discovered a way to characterize the microscopic structure of everyday materials such as sand and concrete ...
Abstract: Nonlinear equations systems (NESs) are widely used in real-world problems and they are difficult to solve due to their nonlinearity and multiple roots. Evolutionary algorithms (EAs) are one ...
Abstract: Physics-Informed Neural Networks (PINNs) have recently emerged as a powerful method for solving differential equations by leveraging machine learning techniques. However, while neural ...
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