A Roadmap for an Atomistic Machine Learning Software Ecosystem 2026

תיאור

נקודות עיקריות

Focus on developing a unified software ecosystem for atomistic machine learning. Exploration of machine-learned interaction potentials (MLIP) and their applications. Discussion on integrating ML with traditional modeling software. Addressing challenges in software fragmentation and promoting shared infrastructure. Presentations by leading experts in the field. Opportunities for networking and collaboration among researchers. Poster sessions for participants to showcase their work. Insights into the future of atomistic simulations enhanced by machine learning. Emphasis on creating efficient, interoperable tools for the scientific community. Engagement with the EPFL community and beyond.