Results 221 to 230 of about 1,055,214 (286)

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

Review of Physics-Informed Machine Learning Inversion of Geophysical Data

Geophysics
We review five types of physics-informed machine learning (PIML) algorithms for inversion and modeling of geophysical data. Such algorithms use the combination of a data-driven machine learning (ML) method and the equations of physics to model and/or ...
Gerard T. Schuster, Yuqing Chen, Shihang Feng   +2 more
semanticscholar   +1 more source

Physics and geophysics

Physics Bulletin, 1986
I agree with Bruce Hobbs (Physics Bulletin October 1985 p421) that a discussion meeting between the Joint Association for Geophysics and a specialist group within The Institute of Physics would be of value. It would undoubtedly assist physicists' investigations into certain geophysical problems related to, for example, solid state, solar–terrestrial ...
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An introduction to large deviations with applications in physics

SciPost Physics Lecture Notes
These notes are based on the lectures that one of us (HT) gave at the Summer School on the “Theory of Large Deviations and Applications,” held in July 2024 at Les Houches in France.
I. Burenev, Daniël Cloete, Vansh Kharbanda, Hugo Touchette   +3 more
semanticscholar   +1 more source

Mineral Physics

Mineralogy [Working Title], 2022
Mineral physics emerged as an independent discipline of Earth sciences in the middle of the 20th century, drawing together geophysics and mineralogy. Using the principles of condensed matter physics and solid-state chemistry, it focuses on exploring how ...
Robert Cooper Liebermann
semanticscholar   +1 more source

The Statistical Physics of Data Assimilation and Machine Learning

, 2022
Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines,
H. Abarbanel
semanticscholar   +1 more source

Rock Physics and Integrated Geophysical Methods

78th EAGE Conference and Exhibition 2016, 2016
Rock physics represents the background for integrating multidisciplinary geophysical data. In fact, some type of physical relationship is necessary for linking the different data and parameters in the seismic, gravity and electromagnetic domains. In this work, I discuss the different types of relationships and how these can be included in the objective
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Ultraviolet radiation physics in astronomy and geophysics

Journal of Quantitative Spectroscopy and Radiative Transfer, 1962
Abstract The astrophysicist has been compelled, in his studies of the solar and stellar atmospheres, to abandon in some cases the simpler “local thermodynamic equilibrium” approach. The new approach assumes statistical equilibrium and writes equations which concern the transfer of energy.
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The Role of Experimental Physical Acoustics in Geophysics

Tectonophysics, 1972
Abstract In the last five years, the progress made by measurements on rocks and minerals, using physical acoustics, has been impressive. This, coupled with corresponding theoretical progress, has resulted in a number of refinements in the understanding of the structure and history of the earth's upper mantle.
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Physical properties measurements for mineral exploration geophysics

SEG Technical Program Expanded Abstracts 2010, 2010
Despite the fact that hundreds of millions of dollars are spent annually on mineral exploration geophysics, the key physical parameters of the rocks and minerals involved are rarely systematically measured. Data that are publically available are often limited in scope, quality and supporting metadata.
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