AI for physics

By:

Knecht, Volker

Series: AI for EverythingPublication details: Boca Raton: CRC Press, 2023Description: xviii, 129p.: ill.; pbk: 20cmISBN:

9781032151694

Subject(s):

DDC classification:

006.31 KNE

Summary: Written in accessible language without mathematical formulas, this short book provides an overview of the wide and varied applications of artificial intelligence (AI) across the spectrum of physical sciences. Focusing in particular on AI's ability to extract patterns from data, known as machine learning (ML), the book includes a chapter on important machine learning algorithms and their respective applications in physics. It then explores the use of ML across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything. The book covers such applications as the search for new particles and the detection of gravitational waves from the merging of black holes, and concludes by discussing what the future may hold. https://www.taylorfrancis.com/books/edit/10.1201/9781003245186/ai-physics-volker-knecht

List(s) this item appears in: New Arrivals - January 2026

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	IIT Gandhinagar	General	006.31 KNE (Browse shelf(Opens below))	1	Not for Issue	036620

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Previous	006.31 HAS Elements of statistical learning: data mining, inference and prediction, 2nd ed.	006.31 HUY Designing machine learning systems: an iterative process for production-ready applications	006.31 KNE Practical deep learning: a python-based introduction	006.31 KNE AI for physics	006.31 LAK Machine learning design patterns: solutions to common challenges in data preparation, model building, and MLOps	006.31 LEV Just enough data science and machine learning: essential tools and techniques	006.31 MIC Advanced applied deep learning: convolutional neural networks and object detection	Next

Include Appendix, Index, and References.

Written in accessible language without mathematical formulas, this short book provides an overview of the wide and varied applications of artificial intelligence (AI) across the spectrum of physical sciences. Focusing in particular on AI's ability to extract patterns from data, known as machine learning (ML), the book includes a chapter on important machine learning algorithms and their respective applications in physics. It then explores the use of ML across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything. The book covers such applications as the search for new particles and the detection of gravitational waves from the merging of black holes, and concludes by discussing what the future may hold. https://www.taylorfrancis.com/books/edit/10.1201/9781003245186/ai-physics-volker-knecht

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