Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
View All Webinars > How SABIC Uses Hybrid Modeling and Machine Learning to Drive Smarter Operations Decisions FREE \| April ...
Software simulates 370,000 steps in under 100 hours, potentially cutting demand for time on supercomputers by orders of ...
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 ...
Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
The Department of Chemical Engineering at IIT Hyderabad has launched two new MTech programmes in AI and machine learning in ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...