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Cover: 9780198825562 | Statistical Mechanics: Theory and Molecular Simulation | Tuckerman
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Statistical Mechanics: Theory and Molecular Simulation
Buch von Mark E. Tuckerman
Sprache: Englisch

94,30 €*

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Lieferzeit 1-2 Wochen

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Beschreibung
This book synthesizes the underlying theory of statistical mechanics with the computational techniques and algorithms used to solve real-world problems and provide readers with a solid foundation in topics that reflect the modern landscape of statistical mechanics.
This book synthesizes the underlying theory of statistical mechanics with the computational techniques and algorithms used to solve real-world problems and provide readers with a solid foundation in topics that reflect the modern landscape of statistical mechanics.
Über den Autor
Mark E. Tuckerman obtained his B.S. in Physics from UC Berkeley in 1986 and his Ph.D. in Physics from Columbia University in 1993. From 1993-1994, he held a postdoctoral position at the IBM Research Laboratory in Zürich, Switzerland, followed by an NSF postdoctoral fellowship in Advanced Scientific Computing at the University of Pennsylvania from 1995-1996. In 1997 he joined the faculty of New York University, where he is currently Professor of Chemistry and Mathematics. Honors and awards include the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation and the Camille Dreyfus Teacher-Scholar Award. He became a Fellow of the AAAS in 2022.
Inhaltsverzeichnis
  • 1: Classical mechanics

  • 2: Theoretical foundations of classical statistical mechanics

  • 3: The microcanonical ensemble and introduction to molecular dynamics

  • 4: The canonical ensemble

  • 5: The isobaric ensembles

  • 6: The grand canonical ensemble

  • 7: Monte Carlo

  • 8: Free-energy calculations

  • 9: Quantum mechanics

  • 10: Quantum ensembles and the density matrix

  • 11: The quantum ideal gases: Fermi-Dirac and Bose-Einstein statistics

  • 12: The Feynman path integral

  • 13: Classical time-dependent statistical mechanics

  • 14: Quantum time-dependent statistical mechanics

  • 15: The Langevin and generalized Langevin equations

  • 16: Discrete models and critical phenomena

  • 17: Introduction to machine learning in statistical mechanics

  • Free

Details
Erscheinungsjahr: 2023
Fachbereich: Mechanik & Akustik
Genre: Physik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9780198825562
ISBN-10: 0198825560
Sprache: Englisch
Einband: Gebunden
Autor: Tuckerman, Mark E.
Hersteller: Oxford University Press
Maße: 252 x 175 x 47 mm
Von/Mit: Mark E. Tuckerman
Erscheinungsdatum: 01.08.2023
Gewicht: 1,846 kg
Artikel-ID: 125825520
Über den Autor
Mark E. Tuckerman obtained his B.S. in Physics from UC Berkeley in 1986 and his Ph.D. in Physics from Columbia University in 1993. From 1993-1994, he held a postdoctoral position at the IBM Research Laboratory in Zürich, Switzerland, followed by an NSF postdoctoral fellowship in Advanced Scientific Computing at the University of Pennsylvania from 1995-1996. In 1997 he joined the faculty of New York University, where he is currently Professor of Chemistry and Mathematics. Honors and awards include the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation and the Camille Dreyfus Teacher-Scholar Award. He became a Fellow of the AAAS in 2022.
Inhaltsverzeichnis
  • 1: Classical mechanics

  • 2: Theoretical foundations of classical statistical mechanics

  • 3: The microcanonical ensemble and introduction to molecular dynamics

  • 4: The canonical ensemble

  • 5: The isobaric ensembles

  • 6: The grand canonical ensemble

  • 7: Monte Carlo

  • 8: Free-energy calculations

  • 9: Quantum mechanics

  • 10: Quantum ensembles and the density matrix

  • 11: The quantum ideal gases: Fermi-Dirac and Bose-Einstein statistics

  • 12: The Feynman path integral

  • 13: Classical time-dependent statistical mechanics

  • 14: Quantum time-dependent statistical mechanics

  • 15: The Langevin and generalized Langevin equations

  • 16: Discrete models and critical phenomena

  • 17: Introduction to machine learning in statistical mechanics

  • Free

Details
Erscheinungsjahr: 2023
Fachbereich: Mechanik & Akustik
Genre: Physik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9780198825562
ISBN-10: 0198825560
Sprache: Englisch
Einband: Gebunden
Autor: Tuckerman, Mark E.
Hersteller: Oxford University Press
Maße: 252 x 175 x 47 mm
Von/Mit: Mark E. Tuckerman
Erscheinungsdatum: 01.08.2023
Gewicht: 1,846 kg
Artikel-ID: 125825520
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