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...

Machine-Learned Potentials for Studying Corrosion, Embrittlement, and Phase Transitions in Zirconium”, will demonstrate the powerful capabil

This significant work explores the innovative application of machine-learned potentials (MLPs) to improve the accuracy and efficiency of pr

In this article, we explore the impact of artificial intelligence (AI) on computational materials science and describe the evolution of...

Registrations are Open for the Online 2024 MedeA User Group Meeting

DCS Computing GmbH and Materials Design, Inc. Announce Collaboration

Polypropylene straws survive in the environment for decades, endanger wildlife, and eventually release harmful chemicals as they decompose.

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

Understanding and Predicting Hydrogen Embrittlement in Metals Demonstrates the Predictive Power of MLPs for Complex Metallurgical Phenomena

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

Dr. Mavromaras will deliver a presentation titled “Advancing Battery Technology with Modeling Insights: From Active Materials to Cell"...

Erich Wimmer to Keynote at 5th Aspherix & CFDEM Conference in Vienna

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

Materials Design Scientists, Michele Kotiuga and Volker Eyert invited as working-group members of the Psik Network

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