This study uses the MedeA software to predict the thermo-mechanical properties of sustainable resins. By combining quantum mechanics and molecular dynamics, MedeA enables accurate simulations of material behavior. The results highlight its reliability and potential in designing eco-friendly polymer systems for both research and industrial applications.

The webinar explores how materials modelers can use multiscale computations to advance nuclear fusion.

Dr. Liu’s presentation, titled “Advancing the Semiconductor Industry Through Multiscale Materials Simulation – A Materials Design Perspectiv

Materials Design announces the launch of the Fusion Alliance, a global collaboration aimed at advancing multiscale materials modeling

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

Hexcel Composites Ltd., an innovation leader in composite materials, needs rapid access to the properties of thermoset polymers. In collabor

This webinar will provide the tools and insights to enhance your polymer research and design using molecular modeling and data science

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...

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

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...