Can Machines “Learn” Halide Perovskite Crystal Formation without Accurate Physicochemical Features?
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Physical Chemistry C"
DOI: 10.1021/acs.jpcc.0c01726
Abstract: Discovery of new perovskite materials is motivated by a broad range of materials applications and accelerated by recent advances in machine learning (ML). We herein report dataset augmentation, ben... read more here.
Keywords: machines learn; halide perovskite; crystal formation; learn halide ... See more keywords
Machines learn to infer stellar parameters just by looking at a large number of spectra
Sign Up to like & getrecommendations! Published in 2021 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa3540
Abstract: Machine learning has been widely applied to clearly defined problems of astronomy and astrophysics. However, deep learning and its conceptual differences to classical machine learning have been largely overlooked in these fields. The broad hypothesis… read more here.
Keywords: learn infer; number; stellar parameters; infer stellar ... See more keywords