Watch the AMS Webinar Series 2024 Recordings
Missed a session from the AMS Webinar Series 2024? Or want to revisit an insightful talk? We’re happy to present all webinar recordings directly on this page! Watch back every session below and gain valuable knowledge and inspiration.
This year’s series featured leading experts covering a range of topics, from cutting-edge research to practical applications in batteries, machine learning potentials, spectroscopy and catalysis. Whether you’re a professional, student, or enthusiast, these sessions offer something for everyone.
Thank you for joining us in making AMS Webinar Series 2024 a success!
Watch the Sessions:
Leverage Battery Research with the Amsterdam Modeling Suite | Nicolas Onofrio
In this webinar, we’ll explore how the Amsterdam Modeling Suite (AMS) can be used to simulate and optimize battery materials. By combining atomistic engines (DFT, DFTB, ReaxFF, ML potentials) with a central driver, AMS enables efficient exploration of potential energy surfaces (PES) through molecular dynamics and Grand Canonical Monte Carlo simulations.
AIMNet2 – A Robust Neural Network Potential | Roman Zubatyuk
Roman Zubatiuk from the group of Olexandr Isayev introduces 𝗔𝗜𝗠𝗡𝗲𝘁𝟮, an innovative neural network potential that combines the power of machine learning with physics-based long-range electrostatic and dispersion terms. Designed for complex organic and element-organic molecules, AIMNet2 provides a scalable, high-throughput alternative to traditional quantum mechanical methods with minimal loss in accuracy.
This session includes a demo by Matti Hellström (SCM), showcasing how to use AIMNet2 with AMS.
Recent Advances in Modeling Surface-Enhanced Raman Scattering | Lasse Jensen
In this session Prof. Dr. Lasse Jensen from the The Pennsylvania State University is providing insights in the modeling and understanding of surface-enhanced Raman scattering.
A practical guide to GW-BSE and Sigma-functionals in AMS | Arno Förster
In this fourth webinar of the, AMS 2024 webinar series Dr. Arno Förster, Assistant Professor at the Vrije Universiteit Amsterdam, is presenting how GW-BSE and new Sigma-functionals in the Amsterdam Modeling Suite enablevery fast and very accurate optical excitations andhighly accurate energetics.
Unraveling organic reactions with the Amsterdam Modeling Suite | Trevor A. Hamlin
In this webinar Dr. Trevor A. Hamlin, Assistant Professor at the Vrije Universiteit Amsterdam, challenges our textbook views on organic reactivity with deep insights obtained from quantum chemical calculations and bonding analysis with AMS.
