HIGHLIGHTS
- who: Inverse et al. from the Department of Energy, Systems, Territory and Constructions Engineering (DESTEC), University of Pisa, Pisa, Italy have published the article: Deep learning as a tool for inverse problems resolution: a case study, in the Journal: (JOURNAL)
- what: In this contribution, following previous work (Barmada et_al, 2021) in which some of the authors proposed a topological optimization for the TEAM 25 problem using DNNs as a prompt direct solver, a DL approach is exploited as an inverse solver: starting from the field distribution, the geometrical characteristics of the system are obtained. The . . .
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