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.
About the Co-Author
During his studies in physics (HU Berlin) Marty investigated optimization and inverse problems, utilizing Python and Fortran. In his PhD thesis (Max Born institute) he focussed on fluctuation-induced phenomena, where he investigated the interplay of classical and quantum statistics. During this time he gained experience in code development and design in C and C++ and developed interest in machine learning. After his PhD he focussed on Deep Learning and Image Recognition.