The study explores the use of tantalum (Ta) doping to improve the performance and stability of LiNi0.80Mn0.1Co0.1O2 (NMC811) cathode mate...

MedeA VASP makes it easy to analyze and understand chemical bonding. By leveraging the integrated MedeA Environment you can quantify the...

At-a-Glance: MedeA Flowcharts make it easy to design and conduct systematic computational materials science studies with a visual...

MedeA 3.10 offers an integrated suite of multiscale modeling capabilities with advanced features that empower researchers to explore and des

Accelerating Materials Innovation: Connecting Quantum Simulations, Machine Learning, and Mesoscale Modeling to Speed Up Materials Research

The partnership will connect MedeA Environment outputs to ICMD® models to provide common clients with the most accurate predictive and presc

Upcoming Webinar Polyvalent Machine-Learned Potential for Cobalt: from Bulk to Nanoparticles In this webinar we describe the development...

Materials Design Announces the Release of MedeA 3.8 “Micro to Macro”! Materials Design is delighted to announce the latest release of its...

Materials Design Announces the Release of MedeA 3.7, Material Performance! Materials Design announces the release of MedeA 3.7 the latest...

MedeA 3.6 - highly integrated machine learning methods that extend 'ab initio' accuracy to mesoscale system sizes and time scales...battery