Computer Science
物理信息机器学习
Physics-informed machine learningA machine learning paradigm that integrates physical laws and governing equations into the learning process to improve model accuracy and generalizability / 一种将物理定律和控制方程集成到学习过程中的机器学习范式，以提高模型的准确性和泛化能力。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-14 16:07:24
Sub-knowledge points
Physics-Informed KAN Surrogate Model / 工艺技术Physics-informed Kolmogorov–Arnold Networks / 工艺技术Loss-based architecturesActivation-based architectures
Higher-order knowledge points
Main parameters and performance indicators
Loss function: Loss-based and activation-based architecturesData: Stress–strain behaviors of additively manufactured materials
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsPredicting stress–strain behaviors of additively manufactured materials via loss-based and activation-based physics-informed machine learning architecturesOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: Physics-informed machine learning.
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