Deep Learning for Polymer Discovery

Explore the cutting-edge world of polymer science with Deep Learning for Polymer Discovery, authored by experts in the field and published by Springer International Publishing AG in 2025. This insightful hardback edition spans 123 pages and offers a thorough examination of deep learning applications in polymer discovery.

The book delves into a comprehensive range of topics, starting with fundamental concepts and advancing to sophisticated methodologies. Readers will gain essential knowledge on polymer data representations and neural network architectures. Furthermore, the authors guide you through deep learning frameworks essential for property prediction and innovative inverse polymer design.

This essential resource is perfect for researchers, students, and professionals eager to enhance their understanding of deep learning's transformative role in polymer science.