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

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

4-7 December 2023 Kruger National Park Skukuza Rest Camp MedeA Software Training 4 December 2023, David Reith, Alexander Mavromaras...

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

A Multi-scale Computational Framework for Property Prediction of Fluid Mixtures Leveraging limited experimental data through simulation...

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

Materials Design Announces the Release of MedeA 3.5, 'Make Your Work Flow!'. Materials Design is delighted to announce a new release of...

Materials Design, Inc. Announces the Release of MedeA 3.4, 'Material Control'.  MedeA 3.4 includes groundbreaking Machine-Learned...

Materials Design, Inc. Announces the Release of MedeA 3.3, 'Material Intelligence'. "We are delighted to announce the release of MedeA...