Download Advances in Quantum Science II: Artificial Intelligence, Computational and Experimental Approaches 2026
Advances in Quantum Science II: Artificial Intelligence, Computational Chemistry and Advanced Materials is the second volume of a two-part collection dedicated to recent developments in quantum science. Following the theoretical and methodological foundations presented in the first volume, this book explores the application of artificial intelligence, computational chemistry, quantum methods, and experimental techniques to complex molecular systems and advanced materials.
The opening sections examine the growing role of machine learning in quantum chemical research, including the optimisation of parameters used in density functional theory (DFT). The book also explores applications of differential geometry to molecular systems and introduces a new artificial intelligence-based approach for predicting pharmaceutical and molecular properties. Other topics include superconductivity in iron-based materials, with particular attention to Mössbauer spectroscopy, as well as atomic adsorption, nanomaterial structure analysis, and materials designed for thermal energy storage.
Further chapters investigate molecular behaviour using quantum chemical calculations, covering subjects such as photodissociation and intermolecular interactions. Computational approaches for studying proteins and molecular systems are also presented. Experimental research into quantum phenomena includes spin-to-charge conversion and hydrogen diffusion in condensed matter. The book additionally discusses the organisation of porphyrins and their photophysical properties, scanning tunnelling microscopy and image analysis, and the synthesis and characterisation of photonic crystals and protein-metal complexes. Molecular beam methods and molecular collision processes are also introduced.
Designed for researchers and advanced students in quantum chemistry, computational chemistry, materials science, molecular physics, and related disciplines, this volume provides a broad overview of emerging computational and experimental approaches. It offers useful perspectives for researchers seeking new directions and opportunities for innovative work in quantum science and the study of electrons, molecules, and advanced materials.
- Author (s): Taku Onishi
- Year of publication: 2026
- Publisher: Springer
- Language: English
- ISBN: 981959720X, 9789819597208, 9789819597215
- Number of pages: 511 pages
- Book format: PDF
- File size: 13 MB
