Julia for numerical problems in quantum and solid-state physics

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11.02.2025 - 13.02.2025 Jointly with Michele Ceriotti (EPFL) we will organise a track Quantifying Uncertainties in multiphysics learning at EPFL's Applied Machine Learning Days 2025. In a line-up featuring Jigyasa Nigam, Thomas Swinburne and Phaedon-Stelios Koutsourelakis we will discuss the challenges of learning across different physical scales and some ideas how errors can be quantified along the way.

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Last modified: January 21, 2025. Website built with Franklin.jl and the Julia programming language.