Deep learning-driven forward and inverse design of nanophotonic nanohole arrays: streamlining design for tailored optical functionalities and enhancing accessibility.
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| Title: | Deep learning-driven forward and inverse design of nanophotonic nanohole arrays: streamlining design for tailored optical functionalities and enhancing accessibility. |
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| Authors: | Jahan T; Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka-1000, Bangladesh. mahabib@du.ac.bd., Dash T; Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka-1000, Bangladesh. mahabib@du.ac.bd., Arman SE; Department of Robotics and Mechatronics Engineering, University of Dhaka, Dhaka-1000, Bangladesh., Inum R; Department of Electrical and Computer Engineering, University of California, Santa Cruz, CA-95064, USA., Islam S; Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka-1000, Bangladesh. mahabib@du.ac.bd., Jamal L; Department of Robotics and Mechatronics Engineering, University of Dhaka, Dhaka-1000, Bangladesh., Yanik AA; Department of Electrical and Computer Engineering, University of California, Santa Cruz, CA-95064, USA., Habib A; Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka-1000, Bangladesh. mahabib@du.ac.bd.; Dhaka University Nanotechnology Center, University of Dhaka, Dhaka-1000, Bangladesh. |
| Source: | Nanoscale [Nanoscale] 2024 Sep 12; Vol. 16 (35), pp. 16641-16651. Date of Electronic Publication: 2024 Sep 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: RSC Pub Country of Publication: England NLM ID: 101525249 Publication Model: Electronic Cited Medium: Internet ISSN: 2040-3372 (Electronic) Linking ISSN: 20403364 NLM ISO Abbreviation: Nanoscale Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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