Webinar: Leverage Battery Research with the Amsterdam Modeling Suite
We are thrilled to kick off the AMS Webinar Series 2024 with our inaugural session, “Leverage Battery Research with the Amsterdam Modeling Suite” by Dr. Nicolas Onofrio (SCM) on Thursday 14.11.2024 | 4 pm (CET).
As the world moves towards sustainable energy solutions, the development of advanced battery technologies is more crucial than ever. However, understanding and optimizing battery materials requires tackling complex challenges—challenges that can be addressed with cutting-edge, data-driven research approaches.
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.
Key Highlights:
- Automatic Screening of Materials: Optimize critical properties like intercalation potentials, diffusion constants, redox potentials, and more.
- Machine Learning Integration: The AMS2024 platform for ML-based interatomic potentials increases accuracy and efficiency while drastically reducing computational costs.
- ParAMS: Train and fine-tune existing machine learning models to predict your material properties and reaction mechanisms with even higher accuracy, accelerating the design of next-gen battery technologies.
Download the Slides.
