Materials Informatics I: Methods, 1st Edition by Kunal Roy & Arkaprava Banerjee | 2025/2026 Exam Success Guide
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Master the cutting-edge field of Materials Informatics with this definitive guide, freshly updated for the 2025/2026 academic year. Authored by esteemed editors Kunal Roy and Arkaprava Banerjee, this...
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Master the cutting-edge field of Materials Informatics with this definitive guide, freshly updated for the 2025/2026 academic year. Authored by esteemed editors Kunal Roy and Arkaprava Banerjee, this 1st Edition resource is expertly crafted to help you pass your exams on the first attempt. Dive deep into the core methods of data-driven materials science, including machine learning, deep learning, and QSPR/QSTR modeling. This guide simplifies complex topics in computational chemistry and physics, providing the essential knowledge you need to excel in your coursework and avoid costly resits.
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Published 15 Feb 2026
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