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AI for Physics - Volker Knecht

AI for Physics

(Autor)

Buch | Hardcover
129 Seiten
2022
CRC Press (Verlag)
978-1-032-15655-2 (ISBN)
CHF 209,45 inkl. MwSt
Written in accessible language without mathematical formulas, the book covers important machine learning algorithms and their respective applications in physics and 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.
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.

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.

Part I: Opening 1. Gathering the Team 2. Teamplay 3. The Rules of the Game Part II: Machine-Learning the World from Subatomic to Cosmic Scales 4. AI for Particle Physics 5. AI for Molecular Physics 6. AI for Condensed Matter Physics 7. AI for Cosmology Part III: Showdown 8. AI for Theory of Everything 9. Conclusion and Outlook

Erscheinungsdatum
Reihe/Serie AI for Everything
Zusatzinfo 7 Line drawings, black and white; 3 Halftones, black and white; 10 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 129 x 198 mm
Gewicht 254 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Naturwissenschaften Physik / Astronomie
Technik Elektrotechnik / Energietechnik
ISBN-10 1-032-15655-4 / 1032156554
ISBN-13 978-1-032-15655-2 / 9781032156552
Zustand Neuware
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