Webinar: Materials Design presents an interview with a pioneer in computational materials design: Prof. Gregory B. Olson
Upcoming: MedeA VASP Training
University of Kazan Develops Highly Accurate Machine-Learned Potential (MLP) for Aluminum Using n2p2 Methodology in MedeA MLPG
Webinar: From the Femtoscale to the Mesoscale and Back: An Integrated Multiscale Approach
QuesTek and Materials Design, Inc. Announce Collaboration Partnership
Webinar: Polyvalent Machine-Learned Potential for Cobalt: from Bulk to Nanoparticles
Webinar: Δ-Machine Learning beyond DFT: from phase transitions to quantum paraelectricity & CO...
Thursday's UGM Training: Generating and Applying Machine-Learned Potentials with MedeA
Wednesday's UGM Webinar: Atomistic Simulations with High-Dimensional Neural Network Potentials
Tuesday's UGM Webinar: Materials Innovations for Chemical Separations
Upcoming Webinar: Radionuclide Sequestration in MOFs