Machine Learning-Augmented Spectroscopies for Intelligent Materials Design

Discover groundbreaking insights in "Machine Learning-Augmented Spectroscopies for Intelligent Materials Design" by Nina Andrejevic, published by Springer International Publishing AG in 2022. This hardback edition, spanning 97 pages, explores innovative results that merge cutting-edge materials characterization techniques with advanced machine learning methodologies. Ideal for researchers and professionals in materials science, this thesis provides a comprehensive examination of how machine learning can enhance spectroscopic analysis, paving the way for intelligent materials design. Dive into this essential resource and elevate your understanding of the future of materials innovation.