EuroCC-2 Training Event: Introduction to Physics Informed Machine Learning
Event Details:
- Date: Friday, 6 September 2024
- Time: 10:00 - 12:30
- Venue: This training event is held as a hybrid event. You are welcome to join us at the Andreas Mouskos Auditorium, José Mariano Gago Hall, The Cyprus Institute
Otherwise please, connect to our live stream of the discussion, available on Zoom (Password: VsSCz1)
View the full schedule including the registration form - Speaker: Eleftherios Christofi, PhD student & Dr Andreas Demou, Computational Scientist, CaSToRC, The Cyprus Institute
Abstract
The introduction of physical insight into AI workflows for scientific and engineering applications enhances predictive accuracy and generalizability, thereby improving model reliability and enabling more realistic solutions. In recent years, many neural network frameworks have emerged, aiming to enforce underlying physics through different approaches, such as neural operators (NOs) and physics-informed neural networks (PINNs), among others.
This training event aims to provide an overview of these various approaches, along with hands-on exercises, applying Physics informed Machine Learning methodologies to different fields of research, including molecular dynamics, microfluidics, and weather forecasting.
About the Speakers
Eleftherios Christofi
Eleftherios joined the Computation-based Science and Technology Research Centre (CaSToRC) of the Cyprus Institute as a PhD student in October 2020. He received a BSc in Mathematics and a MSc in Applied and Computational Mathematics from the University of Crete, Greece. His MSc thesis was titled "The Optimization Algorithm in Machine Learning".
Andreas Demou
Andreas Demou holds a BSc in Physics, an MSc in Energy Technologies and Sustainable Design and a Ph.D. in Mechanical Engineering from the University of Cyprus, studying thermally-driven, turbulent flows by means of direct numerical simulations and large-eddy simulations. Most recently, he worked as a postdoctoral researcher at the KTH University Stockholm, studying weakly compressible multiphase flows with phase transition.
He is currently a computational scientist at CaSToRC, studying wetting hydrodynamics by utilizing novel data-driven methods, as part of CoE RAISE.
About the EuroCC-2 project
EuroCC 2 will work to identify and address the skills gaps in the European High Performance Computing (HPC) ecosystem and coordinate cooperation across Europe to ensure a consistent skills base.
The role of EuroCC 2 is to establish and run a network of more than 30 NCCs across the EuroHPC Participating States. The NCCs act as single points of access in each country between stakeholders and national and EuroHPC systems. They operate on a regional and national level to liaise with local communities, in particular SMEs, map HPC competencies and facilitate access to European HPC resources for users from the private and public sector.
EuroCC 2 delivers training, interacts with industry, develops competence mapping and communication materials and activities, and supports the adoption of HPC services in other related fields, such as quantum computing, artificial intelligence (AI), high performance data analytics (HPDA) to expand the HPC user base.
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the European Union’s programme Digital Europe and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg , Slovakia, Norway, Switzerland, Turkey, the Republic of North Macedonia, Iceland, Montenegro and Serbia.
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Additional Info
- Date: Friday, 6 September 2024
- Time: Starts: 10:00
- Speaker: Eleftherios Christofi, PhD student & Dr Andreas Demou, Computational Scientist, CaSToRC, The Cyprus Institute
