A fast transfer matrix method written in jax for modelling optical multilayer thin films

ANSYS(TM) FEM: #multiphysics #simulation of #MEMS-sensors based on #silicon with #piezoelectric thin-film layers and etched #quartz crystals

katmer is a powerful library for optimizing the design of optical thin films using automatic differentiation via JAX and Equinox, enabling efficient and accurate inverse design solutions.

General 4×4 transfer-matrix method (TMM) for optical simulations of isotropic and anisotropic multilayer structures. C++ core with Python bindings.

Python and MATLAB versions of a simple module to generate 3D reciprocal space maps.

Software for processing data from nanoindentation experiments

Workshop given in graduate-level thin film coatings course in ITU

This project aims to construct a curated dataset from the publicly available High Throughput Experimental Materials Database (HTEM DB) and to train a neural network on that dataset to predict thin-film thickness.

Structural color physics — thin-film interference, iridescence, diffraction, biological specimens, GLSL shader guide

Geomimetic Photonics: synthetic labradorescence for structural colour

Transfer Matrix Method simulator and optimizer for multilayer optical thin films.

Developed from a PHYS 456 optics course project at Boğaziçi University under Dr. Burak Aslan. Originally designed to simulate thin-film coatings with 4H/4L layers, later expanded with additional features and visual tools using AI-assisted coding.

PFP/PBE + OpenMX/PBE data for surface energies and works of adhesion at α-CoSn₃ / β-Sn and Si / α-CoSn₃ interfaces — companion to Wang, Tatsumi et al. on β-Sn orientation control via α-CoSn₃ seed layers.

Tamm–Bøggild Sensor: BCP-based optical sensing via synthetic labradorescence