Characteristic Performance Study on Solving Oscillator ODEs via Soft-constrained Physics-informed Neural Network with Small Data
K Lu, Y Su, Z Bi, C Qiu, W Zhang - arxiv preprint arxiv:2408.11077, 2024 - arxiv.org
This paper compared physics-informed neural network (PINN), conventional neural network
(NN) and traditional numerical discretization methods on solving differential equations (DEs) …
(NN) and traditional numerical discretization methods on solving differential equations (DEs) …
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network
KR Lyathakula, A Muhammad, S Cesmeci - arxiv preprint arxiv …, 2025 - arxiv.org
Thermal protection systems (TPS) of space vehicles are designed computationally rather
than experimentally. They are validated using ground experiments, but all aspects of the …
than experimentally. They are validated using ground experiments, but all aspects of the …
Transforming Civil Engineering with AI and Machine Learning: Innovations, Applications, and Future Directions
D Sargiotis - Applications, and Future Directions (November 15 …, 2024 - papers.ssrn.com
Abstract The integration of Artificial Intelligence (AI) and Machine Learning (ML) into civil
engineering is revolutionizing the field, providing advanced solutions for data-driven …
engineering is revolutionizing the field, providing advanced solutions for data-driven …