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Thank You All for a Successful Materials Design UGM 2022

MedeA Environment

The Most Comprehensive Atomistic Modeling and Simulation Software for Materials Science

MedeA is the leading environment for the atomistic simulation of materials. MedeA enables professional, day-to-day deployment of atomic-scale and nano-scale computations for materials engineering, materials optimization and materials discovery. In MedeA, world-class simulation engines are integrated with elaborate property prediction modules, experimental databases, structure builders and analysis tools, all in one user-friendly environment.

Trusted by thousands of users in over 700 commercial, government, and academic institutions.
Cheering Crowd

Computational material science tools have revolutionized the evaluation of neutron thermal scattering laws.  All of the new thermal scattering laws including in the new US national ENDF/B-VIII.0 nuclear data library were developed using DFT or MD simulations.  The vast majority were developed by MedeA users using VASP, PHONON, and LAMMPS.
-Michael L. Zerkle, Ph.D., Senior Advisor,
Reactor Physics Methods Development,
Naval Nuclear Laboratory
“I like MedeA, it gives me more time to think.”

-Ryoji Asahi 

Toyota Central Research and Development Laboratories, Nagoya, Japan

We are currently working with industrial partners to improve materials used in photodetectors. MedeA is ideal for what we need, as it allows me to study a wide range of material properties. The interface allows me to simulate what I want to, and the software comes with lots of built in materials which is really helpful. The MedeA support team is also excellent, in case of any problems. I highly recommend MedeA! 

-Dr Jamie Williams, Post Doctoral Research Associate, Department of Physics and Astronomy, 
University of Leicester, United Kingdom

What's New

WEBINAR: Interview with Dr. Jozef Bicerano, a world-expert in polymer modeling

Join in to learn about the growing impact of computer simulations on industrial development.  Discussions include recent innovations in his field, with respect to machine learning and its impact on materials science, and how polymer research must change to meet critical societal needs. 


UGM Training: Generating and Applying Machine-Learned Potentials with MedeA

This session introduces MedeA's Machine-Learned Potential Generator (MLPG), which allows to generate MLPs in a highly efficient manner for a given set of training structures.


UGM 2022
The Materials Design annual user event will be online for 2022.

Register Now!

Plenary Speakers include:

Prof. Jeffrey Grossman

Prof. Georg Kresse

Dr. Carla Verdi

Prof. Jörg Behler

Dr. Jozef Bicerano


Special Offer for MedeA Customers

Optimize your R&D using high-quality experimental phase diagrams to complement your modeling work. The MSI Eureka database, available in MedeA, provides phase diagrams, thermodynamic properties, and crystallographic data, critically evaluated and reviewed by experts.  This database allows you to...


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