Results 61 to 70 of about 107,770 (287)

Green Functions for Classical Euclidean Maxwell Theory [PDF]

open access: yes, 1996
Recent work on the quantization of Maxwell theory has used a non-covariant class of gauge-averaging functionals which include explicitly the effects of the extrinsic-curvature tensor of the boundary, or covariant gauges which, unlike the Lorentz case ...
Esposito, Giampiero
core   +3 more sources

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

Neuroscience and the Civil/Criminal \u3ci\u3eDaubert\u3c/i\u3e Divide [PDF]

open access: yes, 2016
This Article speculates on the course of neuroscience-as-proof with an eye toward the actual admissibility standards that will govern the acceptance of such evidence by courts, not just as a matter of formal law but also as a function of historical ...
Murphy, Erin
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

An overview of some recent results on the Euler system of isentropic gas dynamics

open access: yes, 2015
In this overview we discuss some recent results of non--uniqueness for the isentropic Euler equations of gas dynamics with particular attention to the role of some admissibility criteria proposed in the literature.Comment: 10 pages.
Chiodaroli, Elisabetta, Kreml, Ondrej
core   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

open access: yesAdvanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows   +7 more
wiley   +1 more source

On Common Fixed Point Results for New Contractions with Applications to Graph and Integral Equations

open access: yesMathematics, 2019
The investigation of symmetric/asymmetric structures and their applications in mathematics (in particular in operator theory and functional analysis) is useful and fruitful. A metric space has the property of symmetry.
Haitham Qawaqneh   +3 more
doaj   +1 more source

Scientific Evidence Admissibility: Improving Judicial Proceedings to Decrease Erroneous Outcomes [PDF]

open access: yes, 2019
In the United States, Federal Rules of Evidence 702, the Frye and Daubert standards govern the admissibility of scientific evidence in the courtroom. Some states adopted Frye while others adopted Daubert, causing varying judicial outcomes.
Kwong, Leica
core   +1 more source

Conditional Stability for Single Interior Measurement

open access: yes, 2013
An inverse problem to identify unknown coefficients of a partial differential equation by a single interior measurement is considered. The equation considered in this paper is a strongly elliptic second order scalar equation which can have complex ...
Honda, Naofumi   +2 more
core   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

open access: yesAdvanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang   +4 more
wiley   +1 more source

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