Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Add Yahoo as a preferred source to see more of our stories on Google. Although the Nobel Prizes in physics and chemistry are awarded separately, there is a fascinating connection between the winning ...

Software simulates 370,000 steps in under 100 hours, potentially cutting demand for time on supercomputers by orders of ...

Peer-reviewed research finds the company’s novel technology enables faster dataset construction, further shortening Avicenna’s timelines to develop life-saving medicines. “We’re accustomed to hearing ...

Making high-performance proteins for medicines or consumer products can take trial after trial of tweaks, experiments and fine-tuning. A new machine learning framework squeezes all that into a single ...

This presentation will focus on how machine learning is assisting in solving process chemistry challenges. Multiple use-cases will be presented, along with an overview of emerging techniques. The ...

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

In a recent review article published in the journal Annual Review of Analytical Chemistry, researchers highlighted the transformative role of machine learning (ML) in advancing mass spectrometry (MS) ...

Flow chemistry engineering specialists Vapourtec is working with Accelerated Materials to develop the scope and potential of machine learning (ML) in flow chemistry. Machine learning delivers a number ...

Aluminum oxide or alumina is the fruit fly of materials science: thoroughly researched and well-understood. This compound, with the simple chemical formula Al 2 O 3, occurs frequently in Earth's crust ...