FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...
Abstract: A physics-informed neural networks (PINNs) framework is proposed for electromagnetic-thermal cosimulation. The framework utilizes two coupled PINNs: The first solves the Helmholtz equation ...
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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