Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried ...
Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...
A web application for use by experimental chemists created by us. Uploading a file calculated with commercially available software, and the electronic state can be analyzed. We are working on creating ...
Chemical engineering researchers have a powerful new tool at their disposal: active machine learning. In a recent perspective article published in Engineering, Kevin M. Van Geem’s research team at ...
Machine-learning tools have taken us closer to understanding electrons and how they behave in chemical interactions, following news that UK-based AI company DeepMind, owned by Google’s parent company ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
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 ...
Machine learning, AI, automation and and prediction are rapidly evolving the digital landscape. Can digital twins be the ...
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