computational-optics

Scientific computing library for optics, computer graphics and visual perception.

Differentiable wave optics simulation library built on PyTorch

Integrated Machine and Deep Learning for Optical Design

A Python-based tool for modeling optical photolithography

[Optica, 2025] Accurate and efficient diffraction modeling between arbitrary planes

Large-Area Fabrication-Aware Computational Diffractive Optics (SIGGRAPH Asia & TOG 2025)

Optical neural computation on a commodity smartphone: OLED screen + mirror + front camera as an analog matrix engine. 101 experiments, bilingual docs, and 6 Zenodo papers.

[Nature Communications, 2025] In situ characterization of tightly focused fields

Physics-Informed Neural Networks for Optimal Beam Shaping in Flat Optics

Scripts developed for Computational Optics course

repo for the website of neural litho project

[Photonics Research, 2026] Accurate wave propagation modeling with reduced precision

Open-source virtual optical lab in Blender: physics-based wave propagation, diffractive optical neural networks, and pre-registered validation

A growable codex of research on neural holography displays.

A computational optics course with 10 short video lessons, interactive simulations, and runnable Python/Colab labs.

Convert optical simulation requests into validated, solver-ready spec JSON.

A growable open-source computer-generated holography framework built on top of PADO, a PyTorch differentiable optics library.

Differentiable high-NA PSF modeling and Zernike aberration retrieval in PyTorch. Classical phase retrieval and amortized simulation-based inference.

Three-dimensional ray tracing and optimization of an open 600-mm Czerny–Turner spectrometer with a spherical collimator.

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