Researchers have developed a self-driving chemistry lab that can autonomously search through hundreds of catalyst recipes and ...

Penn State researchers have uncovered a surprising twist in a foundational chemical reaction known as oxidative addition. Typically believed to involve transition metals donating electrons to organic ...

Not the fact of still doing chemistry at the bench this late in my career – I would have applauded that! But I’m wondering ...

Discovery of new types of reactions is essential to organic chemistry because it expands the scope of accessible molecular scaffolds and can enable more economical syntheses of existing structures. In ...

Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier ...

Figure 1. LoRA-Chem: From Model Customization to Organic Chemistry Reaction Tasks. (a) Several machine learning algorithm paradigms applied to organic chemistry. (b) Inspired by AI-driven image style ...

Despite the significant potential of generative models, low synthesizability of many generated molecules limits their real-world applications. In response to this issue, we develop ClickGen, a deep ...

Artificial cells created in the laboratory offer a wide range of potential applications. Until now, however, their ...

Chemical and biological engineering major David Frankel is exploring a potential solution to stubborn plastic waste, advised ...

Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...

Note: This video is designed to help the teacher better understand the lesson and is NOT intended to be shown to students. It includes observations and conclusions that students are meant to make on ...