Название: Deep Learning for Physical Scientists
Автор: Edward O. Pyzer-Knapp
Издательство: John Wiley & Sons Limited
Жанр: Химия
isbn: 9781119408352
isbn:
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Deep Learning for Physical Scientists
Accelerating Research with Machine Learning
Edward O. Pyzer‐Knapp
IBM Research UK
Data Centric Cognitive Systems
Daresbury Laboratory
Warrington
UK
Matthew Benatan
IBM Research UK
Data Centric Cognitive Systems
Daresbury Laboratory
Warrington
UK
This edition first published 2022
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Library of Congress Cataloging‐in‐Publication Data
Names: Pyzer-Knapp, Edward O., author. | Benatan, Matthew, author.
Title: Deep learning for physical scientists : accelerating research with machine learning / Edward O. Pyzer-Knapp, IBM Research UK, Data Centric Cognitive Systems, Daresbury Laboratory, Warrington UK, Matthew Benatan, IBM Research UK, Data Centric Cognitive Systems, Daresbury Laboratory, Warrington UK.
Description: Hoboken, NJ : Wiley, 2022. | Includes index.
Identifiers: LCCN 2021036996 (print) | LCCN 2021036997 (ebook) | ISBN 9781119408338 (hardback) | ISBN 9781119408321 (adobe pdf) | ISBN 9781119408352 (epub)
Subjects: LCSH: Physical sciences–Data processing. | Machine learning.
Classification: LCC Q183.9 .P99 2022 (print) | LCC Q183.9 (ebook) | DDC 500.20285/631–dc23
LC record available at https://lccn.loc.gov/2021036996 LC ebook record available at https://lccn.loc.gov/2021036997
Cover Design: Wiley
Cover Image: © Anatolyi Deryenko/Alamy Stock Photo
About the Authors
Dr Edward O. Pyzer‐Knapp is the worldwide lead for AI Enriched Modelling and Simulation at IBM Research. Previously, he obtained his PhD from the University of Cambridge using state of the art computational techniques to accelerate materials design then moving to Harvard where he was in charge of the day‐to‐day running of the Harvard Clean Energy Project ‐ a collaboration with IBM which combined massive distributed computing, quantum‐mechanical simulations, and machine‐learning to accelerate discovery of the СКАЧАТЬ