Matches in SemOpenAlex for { <https://semopenalex.org/work/W3175324503> ?p ?o ?g. }
- W3175324503 endingPage "1683" @default.
- W3175324503 startingPage "1683" @default.
- W3175324503 abstract "In emerging artificial intelligence applications, massive matrix operations require high computing speed and energy efficiency. Optical computing can realize high-speed parallel information processing with ultra-low energy consumption on photonic integrated platforms or in free space, which can well meet these domain-specific demands. In this review, we firstly introduce the principles of photonic matrix computing implemented by three mainstream schemes, and then review the research progress of optical neural networks (ONNs) based on photonic matrix computing. In addition, we discuss the advantages of optical computing architectures over electronic processors as well as current challenges of optical computing and highlight some promising prospects for the future development." @default.
- W3175324503 created "2021-07-05" @default.
- W3175324503 creator A5028868684 @default.
- W3175324503 creator A5053165934 @default.
- W3175324503 creator A5068914644 @default.
- W3175324503 date "2021-06-26" @default.
- W3175324503 modified "2023-10-16" @default.
- W3175324503 title "Photonic Matrix Computing: From Fundamentals to Applications" @default.
- W3175324503 cites W1502066899 @default.
- W3175324503 cites W1584937917 @default.
- W3175324503 cites W1849271619 @default.
- W3175324503 cites W1965253111 @default.
- W3175324503 cites W1985793613 @default.
- W3175324503 cites W1988475452 @default.
- W3175324503 cites W2018007034 @default.
- W3175324503 cites W2051270432 @default.
- W3175324503 cites W2052962330 @default.
- W3175324503 cites W2053297984 @default.
- W3175324503 cites W2062889911 @default.
- W3175324503 cites W2070544768 @default.
- W3175324503 cites W2076476236 @default.
- W3175324503 cites W2077570766 @default.
- W3175324503 cites W2091919225 @default.
- W3175324503 cites W2096934953 @default.
- W3175324503 cites W2102789859 @default.
- W3175324503 cites W2120214913 @default.
- W3175324503 cites W2293472163 @default.
- W3175324503 cites W2406903132 @default.
- W3175324503 cites W2466626281 @default.
- W3175324503 cites W2610715645 @default.
- W3175324503 cites W2739588406 @default.
- W3175324503 cites W2752849906 @default.
- W3175324503 cites W2754492346 @default.
- W3175324503 cites W2767902313 @default.
- W3175324503 cites W2770947648 @default.
- W3175324503 cites W2793973722 @default.
- W3175324503 cites W2798701005 @default.
- W3175324503 cites W2802540826 @default.
- W3175324503 cites W2884123096 @default.
- W3175324503 cites W2887566712 @default.
- W3175324503 cites W2889103251 @default.
- W3175324503 cites W2892135951 @default.
- W3175324503 cites W2894936931 @default.
- W3175324503 cites W2898687095 @default.
- W3175324503 cites W2906829733 @default.
- W3175324503 cites W2908738347 @default.
- W3175324503 cites W2944119451 @default.
- W3175324503 cites W2951157809 @default.
- W3175324503 cites W2962730419 @default.
- W3175324503 cites W2966243218 @default.
- W3175324503 cites W2968293285 @default.
- W3175324503 cites W2976834111 @default.
- W3175324503 cites W2982846042 @default.
- W3175324503 cites W2986367605 @default.
- W3175324503 cites W2996294020 @default.
- W3175324503 cites W3004456582 @default.
- W3175324503 cites W3011584239 @default.
- W3175324503 cites W3034025848 @default.
- W3175324503 cites W3043482984 @default.
- W3175324503 cites W3098807404 @default.
- W3175324503 cites W3103046660 @default.
- W3175324503 cites W3103175983 @default.
- W3175324503 cites W3105148358 @default.
- W3175324503 cites W3105414046 @default.
- W3175324503 cites W3106538861 @default.
- W3175324503 cites W3112182794 @default.
- W3175324503 cites W3118265437 @default.
- W3175324503 cites W3119114027 @default.
- W3175324503 cites W3120165331 @default.
- W3175324503 cites W3120940271 @default.
- W3175324503 cites W3128451613 @default.
- W3175324503 cites W3132722617 @default.
- W3175324503 cites W3156357868 @default.
- W3175324503 doi "https://doi.org/10.3390/nano11071683" @default.
- W3175324503 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8308143" @default.
- W3175324503 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34206814" @default.
- W3175324503 hasPublicationYear "2021" @default.
- W3175324503 type Work @default.
- W3175324503 sameAs 3175324503 @default.
- W3175324503 citedByCount "19" @default.
- W3175324503 countsByYear W31753245032022 @default.
- W3175324503 countsByYear W31753245032023 @default.
- W3175324503 crossrefType "journal-article" @default.
- W3175324503 hasAuthorship W3175324503A5028868684 @default.
- W3175324503 hasAuthorship W3175324503A5053165934 @default.
- W3175324503 hasAuthorship W3175324503A5068914644 @default.
- W3175324503 hasBestOaLocation W31753245031 @default.
- W3175324503 hasConcept C113775141 @default.
- W3175324503 hasConcept C118524514 @default.
- W3175324503 hasConcept C119599485 @default.
- W3175324503 hasConcept C120314980 @default.
- W3175324503 hasConcept C121332964 @default.
- W3175324503 hasConcept C127413603 @default.
- W3175324503 hasConcept C148204187 @default.
- W3175324503 hasConcept C17349429 @default.
- W3175324503 hasConcept C192562407 @default.
- W3175324503 hasConcept C20788544 @default.
- W3175324503 hasConcept C24326235 @default.