Discover how automated high-throughput Molecular Dynamics (MD) and Monte Carlo (MC) workflows enable accurate prediction of gas sorption, isotherms, and polymer swelling in industrial polymer systems. This webinar demonstrates how molecular simulations accelerate material selection, membrane and packaging design, and process optimization while reducing experimental screening effort and time-to-results.

ACEworks  and Materials Design are rolling forward their successful collaboration with the full integration of the GRACEmaker code of ACEworks in the MedeA  computational environment. The GRACEmaker code is based on the Graph Atomic Cluster Expansion (GRACE), one of the most advanced methods for the generation of Machine-Learned Potentials (MLPs). MedeA 3.12  provides comprehensive support of the leading GRACE 1L and 2L potentials in MedeA  LAMMPS . This includes access to t

This session will focus specifically on MedeA GIBBS, a powerful Monte Carlo simulation engine that employs state-of-the-art techniques and methods to compute material properties. Participants will be introduced to the advanced capabilities of this tool and learn how to leverage them for accurate property calculations.

This webinar will provide the tools and insights to enhance your polymer research and design using molecular modeling and data science

This significant work explores the innovative application of machine-learned potentials (MLPs) to improve the accuracy and efficiency of pr