Matches in SemOpenAlex for { <https://semopenalex.org/work/W3119472565> ?p ?o ?g. }
- W3119472565 endingPage "2002923" @default.
- W3119472565 startingPage "2002923" @default.
- W3119472565 abstract "Machine learning, as a study of algorithms that automate prediction and decision-making based on complex data, has become one of the most effective tools in the study of artificial intelligence. In recent years, scientific communities have been gradually merging data-driven approaches with research, enabling dramatic progress in revealing underlying mechanisms, predicting essential properties, and discovering unconventional phenomena. It is becoming an indispensable tool in the fields of, for instance, quantum physics, organic chemistry, and medical imaging. Very recently, machine learning has been adopted in the research of photonics and optics as an alternative approach to address the inverse design problem. In this report, the fast advances of machine-learning-enabled photonic design strategies in the past few years are summarized. In particular, deep learning methods, a subset of machine learning algorithms, dealing with intractable high degrees-of-freedom structure design are focused upon." @default.
- W3119472565 created "2021-01-18" @default.
- W3119472565 creator A5003762748 @default.
- W3119472565 creator A5029175114 @default.
- W3119472565 creator A5070698492 @default.
- W3119472565 creator A5072707876 @default.
- W3119472565 date "2021-01-07" @default.
- W3119472565 modified "2023-10-15" @default.
- W3119472565 title "Tackling Photonic Inverse Design with Machine Learning" @default.
- W3119472565 cites W1581154458 @default.
- W3119472565 cites W1966427515 @default.
- W3119472565 cites W1972988347 @default.
- W3119472565 cites W1973489366 @default.
- W3119472565 cites W1982598895 @default.
- W3119472565 cites W1983461897 @default.
- W3119472565 cites W1990245077 @default.
- W3119472565 cites W2002428563 @default.
- W3119472565 cites W2009741032 @default.
- W3119472565 cites W2009785849 @default.
- W3119472565 cites W2013274049 @default.
- W3119472565 cites W2015329309 @default.
- W3119472565 cites W2020399841 @default.
- W3119472565 cites W2022991626 @default.
- W3119472565 cites W2023647137 @default.
- W3119472565 cites W2026418326 @default.
- W3119472565 cites W2027029957 @default.
- W3119472565 cites W2027652501 @default.
- W3119472565 cites W2030439587 @default.
- W3119472565 cites W2035720136 @default.
- W3119472565 cites W2046589863 @default.
- W3119472565 cites W2056976898 @default.
- W3119472565 cites W2058714575 @default.
- W3119472565 cites W2070251899 @default.
- W3119472565 cites W2079188866 @default.
- W3119472565 cites W2089506182 @default.
- W3119472565 cites W2096492884 @default.
- W3119472565 cites W2098103715 @default.
- W3119472565 cites W2106334424 @default.
- W3119472565 cites W2116777842 @default.
- W3119472565 cites W2121607567 @default.
- W3119472565 cites W2125621954 @default.
- W3119472565 cites W2138249938 @default.
- W3119472565 cites W2139516501 @default.
- W3119472565 cites W2156224799 @default.
- W3119472565 cites W2156674572 @default.
- W3119472565 cites W2263014130 @default.
- W3119472565 cites W2275852921 @default.
- W3119472565 cites W2306570595 @default.
- W3119472565 cites W2312847110 @default.
- W3119472565 cites W2419175238 @default.
- W3119472565 cites W2487059652 @default.
- W3119472565 cites W2523514366 @default.
- W3119472565 cites W2525748878 @default.
- W3119472565 cites W2582187633 @default.
- W3119472565 cites W2614949728 @default.
- W3119472565 cites W2752849906 @default.
- W3119472565 cites W2765592774 @default.
- W3119472565 cites W2766162919 @default.
- W3119472565 cites W2766856748 @default.
- W3119472565 cites W2775280502 @default.
- W3119472565 cites W2786894959 @default.
- W3119472565 cites W2798701005 @default.
- W3119472565 cites W2803281408 @default.
- W3119472565 cites W2803629276 @default.
- W3119472565 cites W2804787033 @default.
- W3119472565 cites W2806536390 @default.
- W3119472565 cites W2808180483 @default.
- W3119472565 cites W2883583109 @default.
- W3119472565 cites W2886079509 @default.
- W3119472565 cites W2886111172 @default.
- W3119472565 cites W2891797827 @default.
- W3119472565 cites W2899283552 @default.
- W3119472565 cites W2900701156 @default.
- W3119472565 cites W2904477682 @default.
- W3119472565 cites W2905247916 @default.
- W3119472565 cites W2907320019 @default.
- W3119472565 cites W2909240409 @default.
- W3119472565 cites W2914274640 @default.
- W3119472565 cites W2914973752 @default.
- W3119472565 cites W2919338369 @default.
- W3119472565 cites W2925047271 @default.
- W3119472565 cites W2944119451 @default.
- W3119472565 cites W2944347353 @default.
- W3119472565 cites W2949257317 @default.
- W3119472565 cites W2949960465 @default.
- W3119472565 cites W2956449284 @default.
- W3119472565 cites W2962797490 @default.
- W3119472565 cites W2963784900 @default.
- W3119472565 cites W2964269625 @default.
- W3119472565 cites W2966272701 @default.
- W3119472565 cites W2969080305 @default.
- W3119472565 cites W2979005477 @default.
- W3119472565 cites W2989226760 @default.
- W3119472565 cites W2989293933 @default.
- W3119472565 cites W2989670361 @default.
- W3119472565 cites W2991464628 @default.
- W3119472565 cites W2996691366 @default.
- W3119472565 cites W2996730279 @default.