AI for Physics: Machine Learning the World from Nuclear to Cosmic Scales - Rilegato

Knecht, Volker

Rilegato

ISBN 10: 1032156554 ISBN 13: 9781032156552

Casa editrice: CRC Press, 2022

Riassunto

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.

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Informazioni sull'autore

Volker Knecht, Germany, Editor at International Journal of Molecular Sciences, Science Writer as Freelancer. Diploma in Physics at University of Kaiserslautern, PhD in Theoretical Physics at University of Göttingen, PhD project at MPI Göttingen, postdoc at University of Groningen, group leader and PI at MPI Potsdam and University of Freiburg. Research at the interface between physics, chemistry, biology, and computer science for 17 years.

Dettagli dell'edizione

• Editore: CRC Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1032156554
• ISBN 13: 9781032156552
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 129
• Contatto del produttore: Taylor and Francis, GPSR Taylor and Francis; gpsr@taylorandfrancis.com; ; Taylor & Francis Verlag GmbH, Kaufingerstraße 24; München; 80331; Germania