Mechanistic Data Science for STEM Education and Applications

AvWing Kam Liu,Zhengtao Gan

Inbunden, Engelska, 2021

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Häftad

587 kr

Beskrivning

This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., “mechanistic” principles) to solve intractable problems.

Produktinformation

Utgivningsdatum:2021-12-22
Mått:155 x 235 x 20 mm
Vikt:614 g
Format:Inbunden
Språk:Engelska
Antal sidor:276
Förlag:Springer Nature Switzerland AG
ISBN:9783030878313

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik
Teknik: allmänt inom Naturvetenskap och teknik
Databaser inom Data och IT

Mer om författaren

Dr. Wing Kam Liu is Walter P. Murphy Professor of Mechanical Engineering & Civil and Environmental Engineering and (by courtesy) Materials Science and Engineering, and Director of Global Center on Advanced Material Systems and Simulation (CAMSIM) at Northwestern University in Evanston, Illinois; Dr. Zhengtao Gan is Research Assistant Professor in the Department of Mechanical Engineering at Northwestern University in Evanston, Illinois; and Dr. Mark Fleming, is the Chief Technical Officer of Fusion Engineering, and an Adjunct Professor in the Department of Mechanical Engineering at Northwestern University in Evanston, Illinois.

Innehållsförteckning

1-Introduction to Mechanistic Data Science.- 2-Multimodal Data Generation and Collection.- 3-Optimization and Regression.- 4-Extraction of Mechanistic Features.- 5-Knowledge-Driven Dimension Reduction and Reduced Order Surrogate Models.- 6-Deep Learning for Regression and Classification.- 7-System and Design