Recorded Webinars

In addition to regularly hosting live webinars, our past webinars are recorded so that you may refer to them at any time. Learn from our engaging scientists, enhance your experience using Materials Design, Inc. software, and download our slides!

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Calculs à Haut Débit dans l’Environnement Logiciel MedeA

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Advancing Automotive Innovation with Materials Modeling

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Training: MedeA VASP: Explore the comprehensible and user-friendly GUI in MedeA VASP

Training with Q&A

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Development of New Solvents for CO2 Capture Using Molecular Simulations

Speaker: Dr. Frederick de Meyer, Total S.E.

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Training-Advanced Atomic Model Building Based on Comprehensive Databases

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Materials Constitution Data in MSI Eureka – Fundamentals for Efficient R&D

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Machine Learning Meets Quantum Chemistry: Using Theory, Data, and Experiments to Design Catalysts

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Training: Orbital Level Understanding of Adsorbate-Surface Interactions in Catalysis

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Training-Li-Ion Batteries and Beyond: Driving Next-Generation Energy Storage with MedeA

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Li-Ion Batteries and Beyond: Driving Next-Generation Energy Storage with MedeA

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Molecular Simulation of Fluids: The SAFT Coarse Graining Technique

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Computational Pharmaceutical Science: Guiding Experiments in a Sea of Variables

Materials Design User Group Meeting 2020

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Modelling Catalyst Deactivation: Multiscale Modelling of Zeolite Catalysis

Materials Design User Group Meeting 2020

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The Random Phase Approximation: A Practical Method Beyond DFT

Materials Design User Group Meeting 2020

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Interatomic Potentials - Why We Still Need Them and How Can We Improve Them

Materials Design User Group Meeting 2020

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From National Security to Energy Security: How Computational Chemistry is Defining Science at SRNL

Materials Design User Group Meeting 2020

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MedeA 3.1-- Precision at Scale -The New Normal

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Exploring Battery Materials: Electrodes, Electrolytes, and Interfaces Thereof

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Mesoscale Simulations

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VASP.6: Total energies beyond DFT

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Diffusion and You: Batteries, Catalysis, Alloys, Corrosion, and the Stock Market

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Elasticity and Beyond: Predicting Mechanical Properties with MedeA

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High Value from High Throughput
in the MedeA Environment Replay

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VASP in MedeA: A Fast Way- From Models to Reliable Results

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Modeling Hydrogen in Metals: Diffusion, Dislocations, Phase Transformations, and Embrittlement

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MedeA 3.0 Getting to Science Faster

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Use of Polymer Theoretical Concepts in Atomistic Polymer Simulation Software

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Thermodynamic Properties of Multifunctional Polycyclic Compounds from Simulation

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MedeA Deposition: Atomistic-Scale Simulations of Deposition, Growth, Oxidation, and Etching at your Fingertips

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The Color of Materials: Value from Computed Optical Properties

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Computational Analysis of Organic Photovoltaics and Organic Radical Batteries

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Developing and Applying Correlative Models in Materials Science

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Using MedeA to Study Formation and Properties of Polymer Networks

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Predicting Petroleum Fraction Thermophysical Properties - Advances in Molecular Simulation

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High Value from High Throughput in the MedeA Environment

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Atomistic-Scale Simulations of Real, Messy, Nasty, and Complex Reactive Materials – The ReaxFF Reactive Force Field and Its Applications

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Predicting Elastic Properties Using Ab Initio And Forcefield Based Simulations

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Advancing the Design of Materials for Batteries Through Atomic-Scale Modeling

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An Introduction to the MedeA User Interface

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Harness the Power of LAMMPS Molecular Dynamics Code with MedeA

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MedeA 2.22: Unlock the Code

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Classical Forcefields for Modeling Materials on Atomic Scale

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Fluid Properties from Molecular Simulation: Applications in Chemical Engineering and the Oil & Gas Industry

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High Throughput Simulations in the Materials Design MedeA Environment

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From Band Structures to Electronic Materials with MedeA

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VASP In MedeA: A Fast Way from Models to Reliable Results with Dr. Walter Wolf

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Classical (Forcefield) Methods for Chemistry and Catalysis

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Atomic-Scale Modeling With MedeA: A Path To Innovation In Batteries

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Computational Metallurgy: Grain Boundaries, Diffusion, and Surface Reactivity

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Computational Polymer Science: Atomistic Modeling Tools and Materials Applications

Latest webinar! Machine Learning Meets Quantum Chemistry Using Theory Data and Experiments to Design Catalysts