Novel Advances in Computational Spectroscopy

Dear Colleagues,

This Special Issue focusing on recent advances in computational spectroscopy. The goal is to promote a deeper understanding of molecular properties and dynamic processes through the application of state-of-the-art computational techniques. Contributions such as original research articles and reviews on the development of novel methodological approaches based on machine learning and artificial intelligence to extract spectroscopic benchmarks across various matrices are especially encouraged. Studies exploring alternative data handling strategies and validated through analyses on real-world case studies are also welcome.

This Special Issue offers a unique opportunity to contribute to a rapidly growing field that plays a critical role in the interpretation of spectroscopic data. It provides an excellent platform for researchers to advance the evolving field of computational spectroscopy and to engage with the broader scientific community.

Dr. Claudia Scatigno
Dr. Giulia Festa
Guest Editors

Manuscript Submission Information

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