Results 301 to 310 of about 1,114,269 (358)

An Airfoil Science Including Causality

Sustainable Engineering and Technological Sciences
Traditional simple explanations of how air flow generates aerodynamic lift neither identify fundamental mechanisms for the generation of lift pressures (i.e. causality) nor account for dissipation losses across streamlines.
Adam B. Suppes, G. Suppes, A. Lubguban, Harith H. Al-Moameri   +3 more
semanticscholar   +1 more source

Combining physics-based and data-driven models: advancing the frontiers of research with Scientific Machine Learning

Mathematical Models and Methods in Applied Sciences
Scientific Machine Learning (SciML) is a recently emerged research field which combines physics-based and data-driven models for the numerical approximation of differential problems. Physics-based models rely on the physical understanding of the problem,
A. Quarteroni, P. Gervasio, Francesco Regazzoni   +2 more
semanticscholar   +1 more source

Causal Reasoning in Physics

American Journal of Physics, 2015
This article reviews Causal Reasoning in Physics. by Mathias Frisch  264 pp. , 2014. Price $95 (hardcover). ISBN 978-1-107-03149-4.
openaire   +1 more source

Physical Lawfulness and Causality

1998
A main feature of the popular notion of causality is that cause and effect must resemble each other somehow, or at least be in proportion. The stronger the cause, the stronger the effect. For a long time however a suitable measure for all possible causes and effects was lacking, and therefore any possibility of determining when a portion of cause ...
Philipp Frank, Robert S. Cohen
openaire   +1 more source

A Review of Physics-Informed Neural Networks

Applied and Computational Engineering
This article presents Physics-Informed Neural Networks (PINNs), which integrate physical laws into neural network training to model complex systems governed by partial differential equations (PDEs).
Zhenyu Li
semanticscholar   +1 more source

A Physics-Informed Hybrid Multitask Learning for Lithium-Ion Battery Full-Life Aging Estimation at Early Lifetime

IEEE Transactions on Industrial Informatics
Lithium-ion battery health state estimation constitutes an important part of battery management systems, with existing methods either based on mechanistic models or data-driven approaches.
Shuxin Zhang, Zhitao Liu, Yan Xu, Hongye Su   +3 more
semanticscholar   +1 more source

Probability and Causality in Quantum Physics

Monist, 1932
In attempting to formulate the logical structure of quantum physics it is necessary to refer frequently to probabilities; even the basic axioms of this system of thought which progressively pervades the various branches of physical science involve an explicit appeal to probability concepts.
openaire   +2 more sources

PhysiCausalNet: A Causal- and Physics-Driven Domain Generalization Network for Cross-Machine Fault Diagnosis of Unseen Domain

IEEE Transactions on Industrial Informatics
Domain generalization for intelligent fault diagnosis is a technology that can acquire diagnostic knowledge from related machines and generalize to the unseen domain.
Yumeng Zhu, Yanyang Zi, Jiejue Li, Jing Xu   +3 more
semanticscholar   +1 more source

Causality and Causal Powers in Blasius of Parma’s Physics

La philosophie du Moyen Âge tardif reformule tous les principaux concepts de la philosophie naturelle aristotélicienne, parmi lesquels le concept de cause est central. Mais il ne s'agit pas d'une évolution linéaire qui conduirait au concept de causalité tel qu'il est utilisé dans la philosophie moderne, bien que certains textes médiévaux anticipent une
openaire   +2 more sources

TRAVL: A Recipe for Making Video-Language Models Better Judges of Physics Implausibility

arXiv.org
Despite impressive visual fidelity, modern video generative models frequently produce sequences that violate intuitive physical laws, such as objects floating, teleporting, or morphing in ways that defy causality.
Saman Motamed, Minghao Chen, L. V. Gool, Iro Laina   +3 more
semanticscholar   +1 more source