Key papers

• Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins (2025)
  Ilker Oguz et al.
  4.71
• Inverse design for robust inference in integrated computational spectrometry (2025)
  Wenchao Ma et al.
  4.47
• Optimal photostimulation selection for iterative activity maps (2026)
  Jacob J. Morra et al.
  4.39
• Will Accurate Fields Mislead Photonic Design? FromGlobal Accuracy to Port Readout (2026)
  Yitian Zhang et al.
  4.33
• Physics-Aware Style Transfer for Adaptive Holographic Reconstruction (2025)
  Chanseok Lee et al.
  3.86
• Simulating the Dicke Model on Qubit-Based and hybrid Qubit-Boson-Based Quantum Computers (2026)
  Aravind P. Babu et al.
  3.51
• Spontaneous optical emission of a randomly oriented chiral quantum source (2026)
  Mikael P. Backlund
  3.51
• TENSO: Software Package for Numerically Exact Open Quantum Dynamics Based on Efficient Tree Tensor Network Decomposition of the Hierarchical Equations of Motion (2026)
  Juan C. Rodriguez Betancourt and Michelle C. Anderson and Luchang Niu and Xinxian Chen and Ignacio Franco
  3.28
• Detecting immune cells with label-free two-photon autofluorescence and deep learning (2025)
  Lucas Kreiss et al.
  2.87
• OAH-Net: A Deep Neural Network for Hologram Reconstruction of Off-axis Digital Holographic Microscope (2024)
  Wei Liu et al.
  2.49
• Photonic convolutional neural network with pre-trained in-situ training (2026)
  Saurabh Ranjan et al.
  1.83
• Harnessing Photonics for Machine Intelligence (2026)
  Hanqing Zhu et al.
  1.83
• Accelerating Diffusion Models for Generative AI Applications with Silicon Photonics (2026)
  Tharini Suresh et al.
  1.78
• Optimizing Spectral Prediction in MXene-Based Metasurfaces Through Multi-Channel Spectral Refinement and Savitzky-Golay Smoothing (2026)
  Shujaat Khan et al.
  1.72
• Toward Large-Scale Photonics-Empowered AI Systems: From Physical Design Automation to System-Algorithm Co-Exploration (2026)
  Ziang Yin et al.
  1.67
• Democratizing Electronic-Photonic AI Systems: An Open-Source AI-Infused Cross-Layer Co-Design and Design Automation Toolflow (2026)
  Hongjian Zhou et al.
  1.67
• Programmable Switching of Molecular Transitions via Plasmonic Toroidal Nanoantennae (2025)
  Arda Gulucu and Emre Ozan Polat
  1.61
• MaxwellLink: A unified framework for self-consistent light-matter simulations (2025)
  Xinwei Ji et al.
  1.61
• Towards Blind Lens Aberration Correction via Large LensLib Pre-training and Discrete Degradation Priors (2025)
  Xiaolong Qian et al.
  1.56
• Photonic restricted Boltzmann machine for content generation tasks (2025)
  Li Luo et al.
  1.39
• What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips (2025)
  Renjie Li et al.
  1.22
• Stochastic resonance in vibrational polariton chemistry (2024)
  Yaling Ke
  0.94
• Universal on-chip polarization handling with deep photonic networks (2024)
  Aycan Deniz Vit et al.
  0.94
• Bayesian optimization with improved scalability and derivative information for efficient design of nanophotonic structures (2021)
  Xavier Garcia-Santiago et al.
  —
• L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization (2021)
  Jiaqi Gu et al.
  —
• Effective single mode methodology for strongly coupled multimode molecular-plasmon nanosystems (2023)
  Marco Romanelli et al.
  —
• M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference (2023)
  Jiaqi Gu et al.
  —
• Computational 3D topographic microscopy from terabytes of data per sample (2023)
  Kevin C. Zhou et al.
  —
• Analysis of Optical Loss and Crosstalk Noise in MZI-based Coherent Photonic Neural Networks (2023)
  Amin Shafiee et al.
  —
• A Multi-Scale Approach to Simulate the Nonlinear Optical Response of Molecular Nanomaterials (2023)
  Benedikt Zerulla et al.
  —
• Deep Learning Enables Large Depth-of-Field Images for Sub-Diffraction-Limit Scanning Superlens Microscopy (2023)
  Hui Sun et al.
  —
• Liquid water based optoelectronic computing chip (2024)
  Minhui Yang et al.
  —
• TeMPO: Efficient Time-Multiplexed Dynamic Photonic Tensor Core for Edge AI with Compact Slow-Light Electro-Optic Modulator (2024)
  Meng Zhang et al.
  —
• Strong coupling in molecular systems: a simple predictor employing routine optical measurements (2024)
  Marie S. Rider et al.
  —
• Silicon Photonic 2.5D Interposer Networks for Overcoming Communication Bottlenecks in Scale-out Machine Learning Hardware Accelerators (2024)
  Febin Sunny et al.
  —
• 1-bit Quantized On-chip Hybrid Diffraction Neural Network Enabled by Authentic All-optical Fully-connected Architecture (2024)
  Yu Shao et al.
  —
• Meent: Differentiable Electromagnetic Simulator for Machine Learning (2024)
  Yongha Kim et al.
  —
• SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution (2024)
  Ziang Yin et al.
  —
• Unlocking Real-Time Fluorescence Lifetime Imaging: Multi-Pixel Parallelism for FPGA-Accelerated Processing (2024)
  Ismail Erbas et al.
  —
• Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network (2024)
  Ziang Yin et al.
  —
• SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System (2024)
  Ziang Yin et al.
  —