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Sessions

Introductory Remarks

Introductory Remarks

Erich Wimmer

10/10/2023 9:00

Introductory Remarks

The Solid State Physics of Catalysis

The Solid State Physics of Catalysis

Michele Parrinello

10/10/2023 9:05

The Solid State Physics of Catalysis

Molecular Simulation of Natural Gas Transport in the Nano-Organic Matter of Subsurface Reservoirs

Molecular Simulation of Natural Gas Transport in the Nano-Organic Matter of Subsurface Reservoirs

Saad Fahaid Khalaf Al-Afnan

10/10/2023 9:50

Molecular Simulation of Natural Gas Transport in the Nano-Organic Matter of Subsurface Reservoirs

Machine learning and Beyond DFT methods: quantitative materials modeling at your fingertips

Machine learning and Beyond DFT methods: quantitative materials modeling at your fingertips

Georg Kresse

10/10/2023 11:00

Machine learning and Beyond DFT methods: quantitative materials modeling at your fingertips

Exploring minerals and energy storage with simulations

Exploring minerals and energy storage with simulations

Phuti Ngoepe

10/10/2023 13:45

Exploring minerals and energy storage with simulations

From high-throughput density functional theory to the simulation of materials with the atomic cluster expansion

From high-throughput density functional theory to the simulation of materials with the atomic cluster expansion

Ralf Drautz

10/10/2023 14:30

From high-throughput density functional theory to the simulation of materials with the atomic cluster expansion

Bridging Atoms and Microstructure

Bridging Atoms and Microstructure

Anders Engström

10/10/2023 15:45

Bridging Atoms and Microstructure

Bridging the canyon between atomistic and continuum modeling for battery cells

Bridging the canyon between atomistic and continuum modeling for battery cells

Edwin Knobbe

10/10/2023 16:30

Bridging the canyon between atomistic and continuum modeling for battery cells

Computing catalytic reaction times and paths with machine learning and rare events sampling methods

Computing catalytic reaction times and paths with machine learning and rare events sampling methods

Thomas Pigeon

10/11/2023 9:00

Computing catalytic reaction times and paths with machine learning and rare events sampling methods

Machine-learned potentials for eucryptite: A systematic comparison

Machine-learned potentials for eucryptite: A systematic comparison

Jörg-Rüdiger Hill

10/11/2023 9:45

Machine-learned potentials for eucryptite: A systematic comparison

Catalysis and the dynamics of nanoparticles

Catalysis and the dynamics of nanoparticles

Marthe Bideault and Prof. Ryoji Asahi

10/11/2023 10:30

Catalysis and the dynamics of nanoparticles

Modeling and Understanding Solid Propellants

Modeling and Understanding Solid Propellants

Garrett Tow

10/11/2023 11:00

Modeling and Understanding Solid Propellants

From the nanoscale to microstructures: a phase field approach

From the nanoscale to microstructures: a phase field approach

Leonid Kahle and Kyle Starkey

10/11/2023 11:30

From the nanoscale to microstructures: a phase field approach

The UGM Plenary sessions cover a broad range of research and modeling areas. This research fuels the development of Materials Design software, guides the user experience, and enriches its scientific foundation. 

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