AI for Physics / Volker Knecht

By:

Knecht, Volker

9781032151694

Subject(s):

DDC classification:

006.3 KneA

Contents:

Part I: Opening 1. Gathering the Team Volker Knecht 2. Teamplay Volker Knecht 3. The Rules of the Game Volker Knecht and Kilian Hikaru Scheutwinkel Part II: Machine-Learning the World from Subatomic to Cosmic Scales 4. AI for Particle Physics Mario Campanelli and Volker Knecht 5. AI for Molecular Physics Mayank Agrawal and Volker Knecht 6. AI for Condensed Matter Physics Álvaro Díaz Fernández, Chao Fang, and Volker Knecht 7. AI for Cosmology Kilian Hikaru Scheutwinkel, Daniel Grün, Bernard Jones, Jimena González Lozano, and Volker Knecht Part III: Showdown 8. AI for Theory of Everything Yang-Hui He and Volker Knecht 9. Conclusion and Outlook Volker Knecht

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.

List(s) this item appears in: New Arrivals 01-15 October 2025, Vol. 06, Issue 28

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	Indian Institute of Technology Tirupati General Stacks	Computer Science	006.3 KneA (11512) (Browse shelf(Opens below))	Copy 1	Available	11512

Part I: Opening

1. Gathering the Team

Volker Knecht

2. Teamplay

Volker Knecht

3. The Rules of the Game

Volker Knecht and Kilian Hikaru Scheutwinkel

Part II: Machine-Learning the World from Subatomic to Cosmic Scales

4. AI for Particle Physics

Mario Campanelli and Volker Knecht

5. AI for Molecular Physics

Mayank Agrawal and Volker Knecht

6. AI for Condensed Matter Physics

Álvaro Díaz Fernández, Chao Fang, and Volker Knecht

7. AI for Cosmology

Kilian Hikaru Scheutwinkel, Daniel Grün, Bernard Jones, Jimena González Lozano, and Volker Knecht

Part III: Showdown

8. AI for Theory of Everything

Yang-Hui He and Volker Knecht

9. Conclusion and Outlook

Volker Knecht

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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