most citedSimple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting

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physics.optics2025

SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training

Pingchuan Ma, Ziang Yin, Qi Jing +8

DONNs leverage light propagation for efficient analog AI and signal processing. Advances in nanophotonic fabrication and metasurface-based wavefront engineering have opened new pat…

physics.optics2025

MAPS: Multi-Fidelity AI-Augmented Photonic Simulation and Inverse Design Infrastructure

Pingchuan Ma, Zhengqi Gao, Meng Zhang +5

Inverse design has emerged as a transformative approach for photonic device optimization, enabling the exploration of high-dimensional, non-intuitive design spaces to create ultra-…

physics.optics2024

BOSON: Understanding and Enabling Physically-Robust Photonic Inverse Design with Adaptive Variation-Aware Subspace Optimization

Pingchuan Ma, Zhengqi Gao, Amir Begovic +6

Nanophotonic device design aims to optimize photonic structures to meet specific requirements across various applications. Inverse design has unlocked non-intuitive, high-dimension…