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 ...
Abstract: Recently, deep learning has attracted intensive attentions in electromagnetic society, especially for inverse problems. In this work, we propose two language-guided automatic design ...
Abstract: The microalga Nannochloropsis oculata was cultivated under controlled laboratory conditions, but cost and time constraints limited the number of experimental replicates to only 17. Previous ...
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 ...
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 ...
AZoSensors on MSN
AI maps heat inside steelmaking’s critical sintering process beds
The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.
Reducio-VAE was developed to enable high compression ratio on videos, supporting efficient video generation. Existing 3D VAEs are generally extended from 2D VAE, which is designed for image generation ...
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