000			a
999			_c32374 _d32374
008			230830b xxu||||| |||| 00| 0 eng d
020			_a9781032151694
082			_a530.028563 _bKNE
100			_aKnecht, Volker
245			_aAI for Physics
260			_bCRC Press, _c2023 _aBoca Raton :
300			_axviii, 129 p. ; _bill., _c20 cm
365			_b22.99 _cEUR _d94.90
490			_aAI for Everything
504			_aIncludes bibliographical references and index.
520			_aWritten 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.
650			_aAnalogue computer
650			_aBoson
650			_aCalabi-You manifold
650			_aCosmic web
650			_a Dark energy
650			_aElectromagnetism
650			_aFeed-Forward neural network
650			_aGravitational waves
650			_aJet substructure
650			_aMachine learning
650			_aNeural network
650			_aParticle collisions
650			_aQuantum mechanics
650			_aRed shift
650			_a Special relativity
650			_aTheory of Everyyhing
700			_aScheutwinkel, Kilian Hikaru ... [et al.]
942			_2ddc _cBK