A Scalable Deep Learning Framework for Wave-Based Inverse Problems
🔬 Numerical routines to inverse the Laplace Transform for semiconductor Deep Level Transient Spectroscopy. To cite: Vasilev, A. (2024). Numerical Inverse Laplace Transform for Deep-Level Transient Spectroscopy. https://doi.org/10.5281/zenodo.10462383
A set of scripts and data used in image-based material identification problems
Python librarY for material characteriZation based on experImental dAta for lightweiGht desigN
Source code for the Material Sensing & Simulation Lab website. Research group at IMT Atlantique working on computational electromagnetics and material sensing at THz frequencies
Characterization of AlGaN/GaN wide bandgap semiconductor heterostructures on SiC substrates using XRD, XPS, Photoluminescence, and temperature-dependent Raman spectroscopy to study structural, optical, and chemical properties for HEMT applications.
Code Snippets for helping Engineers in solving Problems and Essential data analysis using statistics
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