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MedeAÂ GIBBS Training
This session will focus specifically on MedeA GIBBS, a powerful Monte Carlo simulation engine that employs state-of-the-art techniques and methods to compute material properties. Participants will be introduced to the advanced capabilities of this tool and learn how to leverage them for accurate property calculations.
Katherine Hollingsworth
Jun 162 min read
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MedeAÂ High-Throughput Training
Join Materials Design on May 20, 2025, for an online MedeA High-Throughput Training session. This 4-hour session will guide participants through MedeA’s powerful high-throughput capabilities, covering topics such as structure databases, mechanical properties of ceramics, melting point determination, and polymer property calculations. Whether you're a beginner or experienced user, this session offers hands-on practice, expert guidance, and valuable insights to master MedeA's a
Katherine Hollingsworth
Apr 242 min read
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Webinar: Unlimited Energy? Materials Modeling for Nuclear Fusion
The webinar explores how materials modelers can use multiscale computations to advance nuclear fusion.
Katherine Hollingsworth
Apr 12 min read
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Dr. Xiaoli Liu Presents at CSTIC 2025, Highlighting Advances in Semiconductor Industry
Dr. Liu’s presentation, titled “Advancing the Semiconductor Industry Through Multiscale Materials Simulation – A Materials Design Perspectiv
Katherine Hollingsworth
Mar 222 min read
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Materials Design announces Alliance for Multiscale Materials Modeling in Fusion Energy
Materials Design announces the launch of the Fusion Alliance, a global collaboration aimed at advancing multiscale materials modeling
Katherine Hollingsworth
Feb 182 min read
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Upcoming: MedeA VASP Training - Did You Miss the First Training?
Upcoming MedeA VASP Training Materials Design announces an online training session featuring MedeA, the industry-leading atomistic...
Katherine Hollingsworth
Dec 6, 20242 min read
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A Dual-cutoff Machine-learned Potential for Condensed Organic Systems Obtained via Uncertainty-guided Active Learning
This significant work explores the innovative application of machine-learned potentials (MLPs) to improve the accuracy and efficiency of pr
Katherine Hollingsworth
Nov 12, 20242 min read
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DCSÂ Computing GmbH and Materials Design, Inc. Announce Collaboration
DCSÂ Computing GmbH and Materials Design, Inc. Announce Collaboration
Katherine Hollingsworth
Sep 18, 20242 min read
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Protecting the Environment with the Polymer Expert
Polypropylene straws survive in the environment for decades, endanger wildlife, and eventually release harmful chemicals as they decompose.
Katherine Hollingsworth
Sep 9, 20242 min read
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Webinar: Materials Design presents an interview with a pioneer in computational materials design: Prof. Gregory B. Olson
Materials Design presents an interview with a pioneer in computational materials design: Prof. Gregory B. Olson
Katherine Hollingsworth
Sep 3, 20242 min read
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Understanding and Predicting Hydrogen Embrittlement in Metals Demonstrates the Predictive Power of MLPs for Complex Metallurgical Phenomena
Understanding and Predicting Hydrogen Embrittlement in Metals Demonstrates the Predictive Power of MLPs for Complex Metallurgical Phenomena
Katherine Hollingsworth
Aug 27, 20242 min read
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Upcoming: MedeA VASP Training
MedeA VASP Training: Experience the ease with which atomistic models may be constructed and VASP simulations may be launched, monitored, and
Katherine Hollingsworth
Aug 23, 20242 min read
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Alexander Mavromaras and René Windiks to Represent Materials Design at Oslo Battery Days Conference 2024
Dr. Mavromaras will deliver a presentation titled “Advancing Battery Technology with Modeling Insights: From Active Materials to Cell"...
Katherine Hollingsworth
Aug 9, 20242 min read
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Webinar: From the Femtoscale to the Mesoscale and Back: An Integrated Multiscale Approach
Webinar: From the Femtoscale to the Mesoscale and Back: An Integrated Multiscale Approach #engineering #compchem
Katherine Hollingsworth
May 8, 20242 min read
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QuesTek and Materials Design, Inc. Announce Collaboration Partnership
The partnership will connect MedeA Environment outputs to ICMD® models to provide common clients with the most accurate predictive and presc
Katherine Hollingsworth
Apr 25, 20242 min read
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Webinar: Polyvalent Machine-Learned Potential for Cobalt: from Bulk to Nanoparticles
Upcoming Webinar Polyvalent Machine-Learned Potential for Cobalt: from Bulk to Nanoparticles In this webinar we describe the development...
Katherine Hollingsworth
Mar 25, 20242 min read
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Webinar: Sorption and Diffusion of Small Gas Molecules in Semicrystalline Models: A Molecular-Scale Investigation
Upcoming Webinar Sorption and Diffusion of Small Gas Molecules in Semicrystalline Models: A Molecular-Scale Investigation In a recent...
Katherine Hollingsworth
Mar 4, 20242 min read
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Webinar: Advancing Molecular-Scale Modeling: A Novel Approach for Semicrystalline Polymers
Webinar: Advancing Molecular-Scale Modeling: A Novel Approach for Semicrystalline Polymers
Katherine Hollingsworth
Feb 19, 20241 min read
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Revolutionizing Materials Research: Machine-Learned Interatomic Potentials Unleash the Power of Computational Innovation
AI and machine learning are penetrating materials computer simulations at a staggering pace. In particular, high-throughput generation of...
Katherine Hollingsworth
Jan 29, 20242 min read
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Webinar: De Novo Polymer Design Breakthrough
Upcoming Webinar De Novo Polymer Design Breakthrough It is important but extremely challenging to identify, select, and design polymer...
Katherine Hollingsworth
Jan 24, 20242 min read
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