Researchers from China University of Petroleum (Beijing) have conducted a study entitled “Enhancing cyclone separator performance via computational fluid dynamics and intelligent optimization: ...
Hello.This is Pharmer.In this article, I will organize how much machine learning can be used in HPLC method development from ...
For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...
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Scientists build an AI that can propose experiments, run them and learn from the results
A closed-loop laboratory combined AI reasoning, robotics and metabolomics to test thousands of possible biological ...
Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions ...
A new review in the Journal of Materials Science maps how machine learning, from graph neural networks to large language models, is accelerating the design of high-entropy alloy catalysts across vast ...
TCAD models are the fundamental building blocks for the semiconductor industry. Whether it is a new process node or a new multi-billion dollar fab, accurate TCAD models must be developed and ...
Research from MIT Sloan School of Management has demonstrated a new way of designing social science experiments that can uncover patterns invisible to common approaches. In their paper titled ...
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