Page 14 - Basic Energy Sciences News Today

Nanoengineers at the University of California San Diego's Jacobs School of Engineering have developed an AI algorithm that predicts the structure and dynamic properties of any material-;whether existing or new-;almost instantaneously.

Nanoengineers at the University of California San Diego's Jacobs School of Engineering have developed an AI algorithm that predicts the structure and dynamic properties of any material-;whether existing or new-;almost instantaneously.

A promising new technology is the use of organic solar cells. They have the potential to be more attractive for urban or façade applications than the common silicon solar panel because they can be lightweight, flexible, and display a range of colors.

The Advanced Photon Source was utilized by the researchers to watch a nonliving material mimic behavior linked to learning. This sets the stage for better artificial intelligence.

New research shows bacteria cells can be programmed to identify contaminants and report by releasing a detectable electrical current.

New method provides insight into how materials evolve in real-time.

The method for creating unique hollow metal nanoparticle-based open-framework superlattices has significantly improved, according to Northwestern University researchers.

Eastern New Mexico University has been awarded over three million dollars in new grant money to be used over the next one to three years.

In a pair of recently published papers, two independent research teams successfully used a powerful X-ray beam technique at the APS to uncover new insights about the dynamics of materials such as toothpaste and hair gel.

Researchers used strong X-Ray beam technology to investigate what causes soft materials like toothpaste and hair gel to relax. Their findings can help in the development of new consumer items and nanotechnologies.