Chemists at MIT have now introduced a new generative AI model to determine the structures of crystalline materials such as metals, rocks, and ceramics.

The ion's pathway is strongly influenced by a process that is ubiquitous across bio- and electrochemistry: ions need to ...

Rotaxanes have garnered interest for their unique structures consisting of mechanically interlocked axles and macrocycles. Numerous organic macrocycles have been employed to construct rotaxanes, ...

The ion's pathway is strongly influenced by a process that is ubiquitous across bio- and electrochemistry: ions need to ...

For more than 100 years, scientists have been using X-ray crystallography to determine the structure of crystalline materials ...

Machine learning can analyze test data quickly and then learn from that for the next set of experiments executed by the ...

A shocking tale of arsenic poisoning in Hyderabad reveals a deadly plot of revenge and grudge within a family.

Development methodologies combine old and new techniques, but getting any new material into high-volume manufacturing is a ...

As a full professor at ETH Zurich and Head of the Laboratory for Battery Science, which belongs to the PSI Center for Energy and Environmental Sciences (CEE), Sarbajit Banerjee will strengthen the ...

Transition metal ions in aqueous solutions can also create strongly absorbing species through their interactions with water ...

Scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step.