ML4Spec2025 Belgian-german WE-Heraeus Seminar: Machine Learning for Spectroscopy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23640%2F25%3A43978592" target="_blank" >RIV/49777513:23640/25:43978592 - isvavai.cz</a>

Result on the web

<a href="https://ml4spec25.sciencesconf.org/" target="_blank" >https://ml4spec25.sciencesconf.org/</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

ML4Spec2025 Belgian-german WE-Heraeus Seminar: Machine Learning for Spectroscopy

Original language description

This conference explores the integration of Machine Learning (ML) into spectroscopy, aiming to advance the analysis and interpretation of complex spectral data. By bringing together experts in spectroscopy, data science, and ML, the event will focus on AI-driven spectral analysis, advanced classification techniques, and predictive models applied across a range of spectroscopies, including FTIR, Raman, NIR, fluorescence, X-ray absorption (XAS), photoelectron (XPS), and X-ray fluorescence (XRF). Discussions will emphasize deep learning approaches for vibrational properties, light-driven processes, and excited state dynamics. The conference aims to foster collaboration, showcase cutting-edge methodologies, and highlight future directions in ML-assisted spectroscopic research.

Czech name

—

Czech description

—

Type

M - Conference organization

CEP classification

—

OECD FORD branch

10302 - Condensed matter physics (including formerly solid state physics, supercond.)

Project

—

Continuities

R - Projekt Ramcoveho programu EK

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Event location

Brussel, Belgie

Event country

BE - BELGIUM

Event starting date

—

Event ending date

—

Total number of attendees

55

Foreign attendee count

52

Type of event by attendee nationality

EUR - Evropská akce