Turning COâ‚‚ into methanol: Multilayer machine learning speeds up search for better catalysts

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

AI model flags record dipole moments in unexpected diatomic molecules

A machine-learning model trained on fewer than 300 molecules has flagged diatomic pairs with record-high electric dipole ...
AlphaGalileo

Bridging Machine Learning and COSMO-SAC for Accurate Prediction of Infinite Dilute Activity Coefficients of Binary Mixtures

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...

Developing personalized vaccines for cancer via machine learning

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...
EurekAlert!

Carbon Nanomaterials: Machine learning unveils carbon growth mechanism

Researchers have long sought to model how carbon atoms interact with metal surfaces to form graphene and other carbon materials. Developing this capability would elucidate the growth mechanisms of ...
Nanowerk

Machine learning guides carbon nanotechnology

(Nanowerk News) Carbon nanostructures could become easier to design and synthesize thanks to a machine learning method that predicts how they grow on metal surfaces. The new approach, developed by ...