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

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

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

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"...

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...

Upcoming Webinar Sorption and Diffusion of Small Gas Molecules in Semicrystalline Models: A Molecular-Scale Investigation In a recent...

Webinar: Advancing Molecular-Scale Modeling: A Novel Approach for Semicrystalline Polymers

AI and machine learning are penetrating materials computer simulations at a staggering pace. In particular, high-throughput generation of...

Upcoming Webinar De Novo Polymer Design Breakthrough It is important but extremely challenging to identify, select, and design polymer...

Upcoming Webinar: Machine-Learned Potentials: Surpassing the Limits of the Ab Initio World without Leaving it Behind

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