Submit to this Special Topic today |  | Call for PapersSpecial Topic: Computational Spectroscopy | Computational spectroscopies based on ab initio simulations play a pivotal role in interpreting experimental measurements by providing microscopic physical insights. These insights correlate spectral features to underlying structural, electronic, and magnetic properties of materials. |
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With rapid advancements in theory and the growing integration of machine learning (ML), new opportunities are emerging to develop computational spectroscopy tools that combine physics-based modeling with ML to greatly enhance both fidelity and efficiency. This new paradigm paves the way for real-time spectral analysis in contexts such as autonomous experimentation and materials design. This Special Topic showcases state-of-the-art theoretical and ML approaches—particularly in Vibrational Spectroscopy, X-ray Spectroscopy, Nuclear Magnetic Resonance (NMR), and UV/Visible Spectroscopy—and highlights their effectiveness in probing the structure and dynamics of complex systems. Target systems include both bulk phases and interfaces. | Topics covered include, but are not limited to: | |  | Nuclear magnetic resonance (NMR) | | |  | Theoretical methods for probing bulk phases (e.g., electrolytes, solutions) | | | |  | Theoretical approaches for studying interfaces (e.g., solid/liquid, liquid/liquid, liquid/air interfaces) | | |  | Computational investigation of biomolecular structures | | |  | Spectroscopic analysis of chiral molecules | | | | Deyu Lu, Brookhaven National Laboratory | | | Submission Deadline: December 31, 2025 | | | | | | |  | Follow us on social media | | | Copyright © 2025 AIP Publishing. All rights reserved. 1305 Walt Whitman Rd., Melville, NY 11747
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