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

Upcoming MedeA VASP Training Materials Design announces an online training session featuring MedeA, the industry-leading atomistic...

Materials Design presents an interview with a pioneer in computational materials design: Prof. Gregory B. Olson

MedeA VASP Training: Experience the ease with which atomistic models may be constructed and VASP simulations may be launched, monitored, and

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

Webinar: From the Femtoscale to the Mesoscale and Back: An Integrated Multiscale Approach #engineering #compchem

Dr. René Windiks has been invited to speak at the online event, "Solid-State Batteries: Innovations, Promising Start-Ups, & Future...

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

UGM MedeA Training Generating and Applying Machine-Learned Potentials with MedeA Instructor: Dr. David Reith Density functional theory...

Jeffrey Grossman; Department Head of Materials Science and Engineering at the Massachusetts Institute of Technology