Machine Learning for Spectroscopy
26-28 mai 2025
Vrije Universiteit Brussel - Brussels (Belgique)
The field of spectroscopy is undergoing a revolution with the integration of machine learning (ML) techniques. This conference brings together researchers, spectroscopists, and data scientists to explore the transformative power of ML in unlocking the secrets hidden within spectral data. Key areas of focus will include: • Advanced analysis and classification: Leverage ML for efficient material identification, and deeper understanding of complex chemical systems. • Data-driven spectral prediction: Explore the power of ML to predict spectra from material properties or vice versa, accelerating material discovery and spectroscopic analysis. • Emerging applications: Delve into cutting-edge applications of ML in spectroscopy across diverse fields like environmental monitoring, food safety, and pharmaceutical analysis. This conference is ideal for: • Chemists, spectroscopists, and materials scientists seeking to leverage ML for spectral analysis. • Data scientists and machine learning experts interested in applying their expertise to the field of spectroscopy. • Researchers from academia and industry exploring the frontiers of spectroscopic techniques. Join us for an exciting exploration of the intersection between machine learning and spectroscopy. Gain insights from leading experts, network with colleagues, and discover the future of spectral analysis.
Discipline scientifique :
Chimie théorique et/ou physique - Chimie-Physique - Physique Numérique - Apprentissage Machine
Lieu de la conférence