A Dual-cutoff Machine-learned Potential for Condensed Organic Systems Obtained via Uncertainty-guided Active Learning
Webinar: Materials Design presents an interview with a pioneer in computational materials design: Prof. Gregory B. Olson
Upcoming: MedeA VASP Training
MedeA Software Release MedeA 3.9 -- Materials Acceleration!
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: Sorption and Diffusion of Small Gas Molecules in Semicrystalline Models: A Molecular-Scale Investigation
Webinar: Advancing Molecular-Scale Modeling: A Novel Approach for Semicrystalline Polymers
Revolutionizing Materials Research: Machine-Learned Interatomic Potentials Unleash the Power of Computational Innovation
Webinar: De Novo Polymer Design Breakthrough
MedeA Software Release MedeA 3.8 -- Micro to Macro!
A Study of VASP Simulations in Semiconductors: from Materials Engineering to Band Alignment
MedeA Software Training at the South African CHPC National Conference 2023
Webinar: Machine-Learned Potentials: Surpassing the Limits of the Ab Initio World without Leaving...
MedeA Software Release MedeA 3.7 -- Material Performance!
Upcoming Webinar: A Multi-scale Computational Framework for Property Prediction of Fluid Mixtures
MedeA in Publication: Naval Nuclear Lab used MedeA to improve understanding of quantum effects
A Report on the Advanced Simulation Engineering Tool
Materials Design’s State-of-the-Art Tools Supporting Tomorrow’s Energy Solutions: Controlled Fusion
