Researchers develop an AI-based platform that integrates reaction data with catalyst performance for the design of new ...

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific ...

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific chemical reactions in which they are used. The ...

Researchers present a new generative AI model that can simultaneously design catalyst structures and predict their performance under specific reaction conditions. CatDRX is a generative AI framework ...

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and ...

Additional visualizations highlighting the comparison between the proposed two-stage AG-VQ-VAE network (without skip connections) and the single-stage AG-UNet (with skip connections) are presented.

We showcase a novel unsupervised learning method with a Convolutional Variational Autoencoder (CVAE) model that can automatically classify and cluster different types ...

Architecture Laboratory, Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan Background: Microwave Doppler sensors, capable of detecting minute physiological movements, ...

Abstract: In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE) model to address the critical challenge of the small sample issue in plasma ...

Have you ever stared at a massive spreadsheet, overwhelmed by rows and columns of data, wondering how to make sense of it all? Imagine being able to instantly spot trends, outliers, or urgent tasks ...