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Bayesian Optimization for Materials Science by Daniel Packwood (English) Paperba

Description: Bayesian Optimization for Materials Science by Daniel Packwood Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Finally, Chapter 3 discusses an application of Bayesian optimization to a complicated structure optimization problem in computational surface science.Bayesian optimization is a promising global optimization technique that originates in the field of machine learning and is starting to gain attention in materials science. Publisher Description This book provides a short and concise introduction to Bayesian optimization specifically for experimental and computational materials scientists. After explaining the basic idea behind Bayesian optimization and some applications to materials science in Chapter 1, the mathematical theory of Bayesian optimization is outlined in Chapter 2. Finally, Chapter 3 discusses an application of Bayesian optimization to a complicated structure optimization problem in computational surface science.Bayesian optimization is a promising global optimization technique that originates in the field of machine learning and is starting to gain attention in materials science. For the purpose of materials design, Bayesian optimization can be used to predict new materials with novel properties without extensive screening of candidate materials. For the purpose of computational materials science, Bayesian optimization can be incorporated into first-principles calculations to perform efficient, global structure optimizations. While research in these directions has been reported in high-profile journals, until now there has been no textbook aimed specifically at materials scientists who wish to incorporate Bayesian optimization into their own research. This book will be accessible to researchers and students in materials science who have a basic background in calculus and linear algebra. Details ISBN 9811067805 ISBN-13 9789811067808 Title Bayesian Optimization for Materials Science Author Daniel Packwood Format Paperback Year 2017 Pages 42 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:137655451; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-12-29T03:09:58.000Z

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Bayesian Optimization for Materials Science by Daniel Packwood (English) Paperba

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ISBN-13: 9789811067808

Book Title: Bayesian Optimization for Materials Science

Number of Pages: VIII, 42 Pages

Language: English

Publication Name: Bayesian Optimization for Materials Science

Publisher: Springer

Publication Year: 2017

Subject: Materials Science / General, Probability & Statistics / General, Physics / Mathematical & Computational, Optimization

Type: Textbook

Item Weight: 33.5 Oz

Item Length: 9.3 in

Author: Daniel Packwood

Subject Area: Mathematics, Technology & Engineering, Science

Item Width: 6.1 in

Series: Springerbriefs in the Mathematics of Materials Ser.

Format: Trade Paperback

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