AI for Physics
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€32.50
A01=Volker Knecht
AGI
Algebraic Geometry
Analog Computer
artificial
artificial general intelligence research
Author_Volker Knecht
big bang
Calabi Yau Manifold
Category=PH
Category=UYQM
CG Model
computational
condensed matter applications
Cosmic Web
cosmology
Dark Matter
Deep Convolutional Neural Network
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Gravitational Lensing
gravitational wave detection
Hadronic Jets
Higgs Boson
intelligence
IOP
IOP Publishing
Kosterlitz Thouless Transition
learning
machine
machine learning for physical sciences
MD Simulation
Ml
Ml Algorithm
Ml Model
molecular modelling techniques
particles
pattern recognition in science
physics data analysis
QFT
Quantum Tomography
Restricted Boltzmann Machines
Spin Glass
SR
String Theory
subatomic
Support Vector Machines
Product details
- ISBN 9781032151694
- Weight: 165g
- Dimensions: 129 x 198mm
- Publication Date: 29 Aug 2022
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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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.
