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...

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

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...

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...

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...