QuaCa: an open-source library for fast calculations of steady-state quantum friction
by Marty Oelschläger, S. Hermann, C. H. Egerland, D. Reiche
Year:
2023
Publication:
Journal of Open Source Software, 8(87), 5160
Abstract:
QuaCa is an extensible library facilitating the computation of steady-state atom-surface quantum friction. Due to its modular domain-driven structure, QuaCa can be of further use to calculate relevant quantities that are often needed in the context of electromagnetic dispersion forces.
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Brief introduction of the dida co-author(s) and relevance for dida's ML developments.
Marty Oelschläger (PhD)
During their studies in physics (HU Berlin) Marty investigated optimization and inverse problems, utilizing Python and Fortran. In their PhD thesis (Max Born institute) they focused on fluctuation-induced phenomena, where they investigated the interplay of classical and quantum statistics. During this time they gained experience in code development and design in C, C++, and Python and developed interest in machine learning. After their PhD they focused on Deep Learning and works at dida in the role as ML Scientist as well as Project Lead and Project Manager.