Molecular Networking: Statistical Mechanics in the Age of AI and Machine Learning

— —

Caroline Desgranges (Research Assistant Professor, UMass Lowell, USA) Jerome Delhommelle (Associate Professor, UMass Lowell, USA)

Molecular Networking

Statistical Mechanics in the Age of AI and Machine Learning

Caroline Desgranges (Research Assistant Professor, UMass Lowell, USA), Jerome Delhommelle (Associate Professor, UMass Lowell, USA)

$263

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

CRC Press
29 January 2024

Atomic & molecular physics; Statistical physics; Applied physics; Quantum & theoretical chemistry; Artificial intelligence

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.

Key features:

Draws on a data analytics approach of molecular systems Covers hot topics such as artificial intelligence and machine learning of molecular trends Contains applications to systems at the cutting-edge of research for biological, environmental and energy applications Discusses molecular simulation and links with other important, emerging techniques and trends in computational sciences and society Authors have a well-established track record and reputation in the field

By: Caroline Desgranges (Research Assistant Professor UMass Lowell USA), Jerome Delhommelle (Associate Professor, UMass Lowell, USA)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 453g
ISBN: 9780367438937
ISBN 10: 0367438933
Pages: 236
Publication Date: 29 January 2024
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

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. Dr. Jerome Delhommelle did his undergraduate studies at the Ecole Normale Superieure Paris-Saclay and received his PhD in Chemistry from the University of Paris-Saclay (France) in 2000. He is currently an Associate Professor in Chemistry at the University of Massachusetts Lowell.