• Contact

  • Newsletter

  • About us

  • Delivery options

  • Prospero Book Market Podcast

  • Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods

    Data-Based Methods for Materials Design and Discovery by Pilania, Ghanshyam; Balachandran, Prasanna V.; Gubernatis, James E.;

    Basic Ideas and General Methods

    Series: Synthesis Lectures on Materials and Optics;

      • GET 8% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 108.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        44 793 Ft (42 660 Ft + 5% VAT)
      • Discount 8% (cc. 3 583 Ft off)
      • Discounted price 41 210 Ft (39 247 Ft + 5% VAT)

    44 793 Ft

    Availability

    Uncertain availability. Please turn to our customer service.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher Morgan & Claypool Publishers
    • Date of Publication 30 March 2020
    • Number of Volumes Hardback

    • ISBN 9781681737393
    • Binding Hardback
    • No. of pages188 pages
    • Size 235x191 mm
    • Language English
    • 0

    Categories

    Short description:

    Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions.

    More

    Long description:

    Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss generalizations where more than one competing material property is involved or data with differing degrees of precision/costs or fidelity/expense needs to be considered.

    More
    Recently viewed
    previous
    Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods

    Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods

    Pilania, Ghanshyam; Balachandran, Prasanna V.; Gubernatis, James E.;

    44 793 HUF

    41 210 HUF

    20% %discount
    Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods

    Applications And Trends In Fintech I: Governance, Ai, And Blockchain Design Thinking

    Lee, David Kuo Chuen; Lim, Joseph; Phoon, Kok Fai;(ed.)

    42 997 HUF

    34 398 HUF

    20% %discount
    Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods

    Hyperintensionality and Normativity

    Faroldi, Federico L. G.

    39 936 HUF

    31 949 HUF

    20% %discount
    Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods

    Dynamics of Systems on the Nanoscale

    Solov'yov, Ilia A.; Verkhovtsev, Alexey V.; Korol, Andrei V.; Solov'yov, Andrey V.

    75 438 HUF

    60 351 HUF

    next