menu
{ "item_title" : "Uncertainty Quantification in Multiscale Materials Modeling", "item_author" : [" Yan Wang", "David L. McDowell "], "item_description" : "Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/08/102/941/0081029411_b.jpg", "price_data" : { "retail_price" : "365.00", "online_price" : "365.00", "our_price" : "365.00", "club_price" : "365.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Uncertainty Quantification in Multiscale Materials Modeling|Yan Wang

Uncertainty Quantification in Multiscale Materials Modeling

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

Overview

Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales.

This item is Non-Returnable

Details

  • ISBN-13: 9780081029411
  • ISBN-10: 0081029411
  • Publisher: Woodhead Publishing
  • Publish Date: March 2020
  • Dimensions: 9 x 6 x 1.22 inches
  • Shipping Weight: 1.76 pounds
  • Page Count: 604

Related Categories

You May Also Like...

    1

BAM Customer Reviews