Organization

EPFL
Contributors
Carl Simon Adorf
Omar Awile
Quentin Ayoul-Guilmard
Justin Ball
Stephan Brunner
Giuseppe Carleo
Michele Ceriotti
Raphaël de Fondeville
Peter Donnel
Damir Filipovic
Baptiste J. Frei
Sundar Ganesh
Sebastiaan Huber
Emmanuel Lanti
Nicola Marzari
Moahan Murugappan
Fabio Nobile
Noe Ohana
Puneet Pasricha
Paolo Ricci
Felix Schürmann
Laurent Villard
Session Chairs
Quentin Ayoul-Guilmard
Stephan Brunner
Giovanni Pizzi
Felix Schuermann
Laurent Villard
Presentations
Minisymposium
A Gyrokinetic Moment-Based Method for the Periphery Plasmas of Fusion Devices
CS and Math
Physics
Minisymposium
AiiDAlab: An Ccosystem for Developing, Executing, and Sharing Scientific Workflows
Chemistry and Materials
Physics
Engineering
Minisymposium
Challenges and Recent Advancements in Eulerian Gyrokinetic Edge Simulations with GENE
Physics
Minisymposium
Copula Process Asset Pricing
CS and Math
Emerging Applications
Minisymposium
Efficient Multi-Level Monte Carlo Estimators for Robust Engineering Design
CS and Math
Climate and Weather
Engineering
Minisymposium
Electromagnetic Gyrokinetic Simulations with Particle-in-Cell Codes
CS and Math
Physics
Minisymposium
How to Prepare the GYSELA Gyrokinetic Code to Future Exascale Edge-Core Simulations
CS and Math
Physics
Minisymposium
Integrated Machine-Learning Schemes for Atomic-Scale Materials Modeling
CS and Math
Chemistry and Materials
Physics
Minisymposium
Many-Body Quantum Mechanics as a Machine Learning Problem
CS and Math
Chemistry and Materials
Physics
Life Sciences
Engineering
Minisymposium
Nonlinear Multi-Species Collision Operator for Gyrokinetic Codes
Physics
Poster
P23 - Robust Wave Function Optimization in SIRIUS Accelerated QuantumESPRESSO
Poster
P35 - Optimised Allgatherv, Reduce_scatter and Allreduce Communication in Message-Passing Systems
Minisymposium
Recasting Brain Tissue Simulations as a Machine Learning Problem - Panel Discussion
CS and Math
Chemistry and Materials
Physics
Life Sciences
Engineering
Minisymposium
Toward Enhanced Seasonal Forecasts Using Machine learning: Understanding the Polar Vortex Variability
CS and Math
Emerging Applications
Climate and Weather
Solid Earth Dynamics
Sessions
Minisymposium
Towards Exascale Computing in Kinetic Simulations of Magnetic Fusion Plasmas. Part I - Code Developments
CS and Math
Physics
Minisymposium
Towards Exascale Computing in Kinetic Simulations of Magnetic Fusion Plasmas. Part II - Core and Edge
Physics
Minisymposium
Recasting Brain Tissue Simulations as a Machine Learning Problem?
CS and Math
Chemistry and Materials
Physics
Life Sciences
Engineering
Minisymposium
Towards Exascale Computing in Kinetic Simulations of Magnetic Fusion Plasmas. Part III - Advanced Numerical Methods and Algorithms
CS and Math
Physics
Minisymposium
High-Performance Simulations of Fluid Dynamics with Uncertain Wind for Robust Design in Civil Engineering
CS and Math
Climate and Weather
Engineering
Minisymposium
FAIR Principles in Materials Science: Open Science Tools and Platforms
Chemistry and Materials
Physics
Engineering