Robert Lupoiu

All Publications

• High Speed Simulation and Freeform Optimization of Nanophotonic Devices with Physics-Augmented Deep Learning ACS PHOTONICS Chen, M., Lupoiu, R., Mao, C., Huang, D., Jiang, J., Lalanne, P., Fan, J. A. 2022

  View details for DOI 10.1021/acsphotonics.2c00876

  View details for Web of Science ID 000848111900001

• WaveY-Net: Physics-Augmented Deep Learning for High-Speed Electromagnetic Simulation and Optimization Chen, M., Lupoiu, R., Mao, C., Huang, D., Jiang, J., Lalanne, P., Fan, J. A., Chang-Hasnain, C. J., Fan, J. A., Zhou, W. SPIE-INT SOC OPTICAL ENGINEERING. 2022

  View details for DOI 10.1117/12.2612418

  View details for Web of Science ID 000836330700011

• MetaNet: a new paradigm for data sharing in photonics research OPTICS EXPRESS Jiang, J., Lupoiu, R., Wang, E. W., Sell, D., Hugonin, J., Lalanne, P., Fan, J. A. 2020; 28 (9): 13670–81

  Abstract

  Optimization methods are playing an increasingly important role in all facets of photonics engineering, from integrated photonics to free space diffractive optics. However, efforts in the photonics community to develop optimization algorithms remain uncoordinated, which has hindered proper benchmarking of design approaches and access to device designs based on optimization. We introduce MetaNet, an online database of photonic devices and design codes intended to promote coordination and collaboration within the photonics community. Using metagratings as a model system, we have uploaded over one hundred thousand device layouts to the database, as well as source code for implementations of local and global topology optimization methods. Further analyses of these large datasets allow the distribution of optimized devices to be visualized for a given optimization method. We expect that the coordinated research efforts enabled by MetaNet will expedite algorithm development for photonics design.

  View details for DOI 10.1364/OE.388378

  View details for Web of Science ID 000530854700092

  View details for PubMedID 32403837

• SiQAD: A Design and Simulation Tool for Atomic Silicon Quantum Dot Circuits IEEE TRANSACTIONS ON NANOTECHNOLOGY Ng, S., Retallick, J., Chiu, H., Lupoiu, R., Livadaru, L., Huff, T., Rashidi, M., Vine, W., Dienel, T., Wolkow, R. A., Walus, K. 2020; 19: 137-146

  View details for DOI 10.1109/TNANO.2020.2966162

  View details for Web of Science ID 000516594700001