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

University of Kazan Develops Highly Accurate Machine-Learned Potential (MLP) for Aluminum Using n2p2 Methodology in MedeA MLPG

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

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...

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

MedeA in Publication: Influence of Quantum Oscillations in the Thermal Scattering Law of Zirconium Carbide on Neutron Thermalization and Cri

A recent report details the extraordinary work carried out at the Idaho National Laboratory (INL) High Performance Computing (HPC)...