GitHub

A conditional graph variational autoencoder framework.py

"""**3 A dataset of zeolite structures were assembled from crystallographic information files (CIFs). Each CIF describes a periodic framework with a fixed lattice and atomic positions. The structures ...
IEEE

Conditional Variational Autoencoder for Exoplanetary Radiance Spectrum Modeling

Abstract: We introduce a Conditional Variational Autoencoder (CVAE) surrogate for exoplanet spectral modeling, trained on a wide grid of synthetic spectra spanning key planetary regimes. By tuning ...
IEEE

A Deep Learning-Based Surrogate Model for Locos Etch Process TCAD Simulation Using a ...

Abstract: High-cost Technology Computer-Aided Design simulations create a significant bottleneck in semiconductor process development. We present a deep learning surrogate model, using a Conditional ...
GitHub

Physics-Informed Conditional Variational Autoencoder (CVAE) for Ground Motion Modeling

This repository contains the code, data observations, and final report for the Seismic Data Analysis project. The goal of this project is to model ground motion using a Physics-Informed Conditional ...