Dr. Kate Biberdorf uses energetic chemistry experiments to make science engaging while challenging stereotypes about ...

An integrated platform, Digital Twin for Chemical Science (DTCS), is developed to connect first-principles theory with spectroscopic measurements through a bidirectional feedback loop. By predicting ...

Understanding what complex chemical measurements reveal about materials and reactions can take weeks or months of analysis. But now, an AI-powered platform developed by researchers at the Department ...

Directly visualizing chemical trajectories offers insights into catalysis, gas-phase reactions and photoinduced dynamics. Tracking the transformation of chemical species is best achieved by coupling ...

A reaction that puzzled scientists for 50 years has now been explained by researchers at Ume University. Rapid structural snapshots captured how graphite transforms into graphite oxide during ...

To a young mind, science can be magical. Perhaps you remember a visually striking or seemingly inexplicable scientific demonstration from your own youth? A liquid spontaneously and unexpectedly ...

In less time than it will take you to read this article, an artificial intelligence-driven system was able to autonomously learn about certain Nobel Prize-winning chemical reactions and design a ...

Bayesian experimental design is a tool for guiding experiments founded on the principle of expected information gain. I.e., which experiment design will inform the most about the model can be ...