{"product_id":"machine-learning-in-2d-materials-science-paperback","title":"Machine Learning in 2D Materials Science - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eParvathi Chundi\u003c\/b\u003e (Editor), \u003cb\u003eVenkataramana Gadhamshetty\u003c\/b\u003e (Editor), \u003cb\u003eBharat K. Jasthi\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eThis book provides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projects.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eParvathi Chundi\u003c\/strong\u003e, PhD is Professor of Computer Science, University of Nebraska-Omaha. Prior to Omaha, Dr. Chundi was with Agilent Technologies and HP Labs, both in Palo Alto, CA.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eVenkataramana Gadhamshetty\u003c\/strong\u003e, PhD, PE is Professor of Environmental Engineering in Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology. He is a cofounder of 2D materials for Biofilm Science Engineering and Technology (2DBEST) center and 2D materials laboratory (2DML) at SDSM\u0026amp;T.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBharat K. Jasthi\u003c\/strong\u003e, PhD is Associate Professor, Department of Materials and Metallurgical Engineering, South Dakota School of Mines and Technology. Dr. Jasthi has research expertise in the areas of microstructural modification, structure property correlation, new alloy development, powder metallurgy, additive manufacturing, and development of engineered surface thin films and coatings for a wide range of applications.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCarol Lushbough\u003c\/strong\u003e, MA is an Emeritus Professor of Computer Science, University of South Dakota.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 238\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.53 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 29, 2025\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43159258857535,"sku":"9780367678210","price":130.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/5a5dc_W9vw9780367678210.webp?v=1776996894","url":"https:\/\/dhlswag.com\/products\/machine-learning-in-2d-materials-science-paperback","provider":"BBB","version":"1.0","type":"link"}