TY - JOUR AU - White, Andrew D. PY - 2022/07/05 Y2 - 2024/03/29 TI - Deep Learning for Molecules and Materials JF - Living Journal of Computational Molecular Science JA - Living J. Comp. Mol. Sci. VL - 3 IS - 1 SE - Articles DO - 10.33011/livecoms.3.1.1499 UR - https://livecomsjournal.org/index.php/livecoms/article/view/v3i1e1499 SP - 1499 AB - <div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p>Deep learning is becoming a standard tool in chemistry and materials science. Although there are learning materials available for deep learning, none cover the applications in chemistry and materials science or the peculiarities of working with molecules. The textbook described here provides a systematic and applied introduction to the latest research in deep learning in chemistry and materials science. It covers the math fundamentals, the requisite machine learning, the common neural network architectures used today, and the details necessary to be a practitioner of deep learning. The textbook is a living document and will be updated as the rapidly changing deep learning field evolves.</p></div></div></div> ER -