A hands-on Jupyter notebook tutorial for machine-learning-based image processing of electrochemical and scientific microscopy data, developed for the DPG 2026, AKPIK session, Dresden, March 2026. Amir ...
Machine learning techniques in physics and materials science have revolutionized simulations and experimental analysis. Using these techniques to accurately predict, for example, material properties ...
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