menu
{ "item_title" : "Machine Learning in Molecular Sciences", "item_author" : [" Chen Qu", "Hanchao Liu "], "item_description" : "Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation. This book presents recent machine learning applications in the broad research field of molecular sciences. Written by an international group of renowned experts, this edited volume covers both the machine learning methodologies and state-of-the-art machine learning applications in a wide range of topics in molecular sciences, from electronic structure theory to nuclear dynamics of small molecules, to the design and synthesis of large organic and biological molecules. This book is a valuable resource for researchers and students interested in applying machine learning in the research of molecular sciences. ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/137/195/303137195X_b.jpg", "price_data" : { "retail_price" : "249.99", "online_price" : "249.99", "our_price" : "249.99", "club_price" : "249.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning in Molecular Sciences|Chen Qu

Machine Learning in Molecular Sciences

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation. This book presents recent machine learning applications in the broad research field of molecular sciences. Written by an international group of renowned experts, this edited volume covers both the machine learning methodologies and state-of-the-art machine learning applications in a wide range of topics in molecular sciences, from electronic structure theory to nuclear dynamics of small molecules, to the design and synthesis of large organic and biological molecules. This book is a valuable resource for researchers and students interested in applying machine learning in the research of molecular sciences.

This item is Non-Returnable

Details

  • ISBN-13: 9783031371950
  • ISBN-10: 303137195X
  • Publisher: Springer
  • Publish Date: October 2023
  • Dimensions: 9.21 x 6.14 x 0.75 inches
  • Shipping Weight: 1.4 pounds
  • Page Count: 317

Related Categories

You May Also Like...

    1

BAM Customer Reviews