Disentangling Environmental Effects on Perovskite Solar Cell Performance via Interpretable Machine Learning

by RLE at MIT | Feb 2, 2026 | News Links, RLE Recent Papers

Artwork created by Sampson Wilcox Tianran Liu, Nicky Evans, Kangyu Ji, Ronaldo Lee, Aaron Zhu, Vinn Nguyen, James Serdy, Elizabeth M. Wall, Yongli Lu, Florian A. Formica, Moungi G. Bawendi, Quinn C. Burlingame, Yueh-Lin Loo, Vladimir Bulović,...

Single-shot matrix-matrix photonic processor based on spatial-spectral hypermultiplexed parallel diffraction

by RLE at MIT | Jan 23, 2026 | News Links, RLE Recent Papers

Artwork by Sampson Wilcox Chao Luan, Ronald Davis III, Zaijun Chen, Dirk Englund & Ryan Hamerly DOI: 10.1038/s41467-026–68452‑x Abstract: The ever-increasing data demand craves advancements in high-speed and energy-efficient computing...

Disaggregated machine learning via in-physicscomputing at radio frequency

by RLE at MIT | Jan 14, 2026 | RLE Recent Papers

Artwork by Sampson Wilcox Zhihui Gao, Sri Krishna Vadlamani, Kfir Sulimany, Dirk Englund, Tingjun Chen DOI: 10.1126/sciadv.adz0817 Abstract: Modern edge devices, such as cameras, drones, and internet-of-things nodes, rely on machine learning to enable a wide...

Leveraging Qubit Loss Detection in Fault-Tolerant Quantum Algorithms

by RLE at MIT | Jan 5, 2026 | RLE Recent Papers

Image Credit: Photograph by Sampson Wilcox Gefen Baranes, Madelyn Cain,J. Pablo Bonilla Ataides, Dolev Bluvstein, Josiah Sinclair, Vladan Vuletić, Hengyun Zhou, and Mikhail D. Lukin DOI: https://doi.org/10.1103/ycwc-3myc Abstract: Qubit loss errors...

Extracting the core and cladding contributions to fluorescence and Raman emission in integrated photonic waveguides

by RLE at MIT | Nov 12, 2025 | RLE Recent Papers

Andres Garcia Coleto, Henry Crawford-Eng, Nathan Tyndall, Alin Antohe, Soumen Kar, Lewis Carpenter, Todd Stievater, and Jelena Notaros DOI: https://doi.org/10.1364/OE.575183  Abstract: Minimizing background optical emission originating from waveguides is...

Stochastic nanomagnets as current digitizers for efficient probabilistic machine learning

by RLE at MIT | Oct 10, 2025 | RLE Recent Papers

Dooyong Koh, Ethan G. Rogers, Kshemal K. Gupte, Qiuyuan Wang, Brooke C. McGoldrick, Jungsoo Lee, Marc A. Baldo, Cheng Wang, and Luqiao Liu DOI: https://doi.org/10.1103/s86j-5jcr  Abstract: The rapidly growing demand for more efficient artificial intelligence...