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Molecular Networking
Statistical Mechanics in the Age of AI and Machine Learning
Langbeschreibung
The book builds on the analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. Applying a data analytics approach to molecular systems, we show how individual (molecular) features and interactions between molecules, or "communication" processes, allow for the prediction of properties and collective behavior of molecular systems - just as polling and social networking shed light on the behavior of social groups. Applications to systems at the cutting-edge of research for biological, environmental, and energy applications are also presented.
Inhaltsverzeichnis
Section I Molecular networking analyticsChapter 1 Probabilities, distributions and statistics 1.1 MECHANICS 1.1.1 Newton, Lagrange, and Hamilton 1.1.2 Wave function and uncertainty 1.1.3 Quantum Energy and Density of States 1.2 THERMODYNAMICS 1.2.1 Processes, Work, and Heat1.2.2 First, Second and Third Laws 1.2.3 Changing Conditions: Legendre Transformations 1.3 STATISTICS AND DISTRIBUTIONS 1.3.1 Maxwell-Boltzmann distribution 1.3.2 Phase space and probability distribution 1.3.3 Micro-Macro Connection
Dr. Caroline Desgranges received a DEA in Physics in 2005 from the University Paul Sabatier-Toulouse III (France) and a PhD in Chemical Engineering from the University of South Carolina (USA) in 2008. She is currently a Research Assistant Professor in Physics & Applied Physics at the University of Massachusetts Lowell.
ISBN-13:
9781003832430
Veröffentl:
2025
Seiten:
248
Autor:
Caroline Desgranges
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch
122,99 €*
Lieferzeit: Sofort lieferbar
Alle Preise inkl. MwSt.