From Our Blogs

The team used genomic modeling to come up with a list of potential products that could be made from biomass aromatics, with zeaxanthin near the top.

When research didn’t go as planned, an alternative led scientists to a surprising result and a new approach to understand it.

A team of researchers has developed a new computational tool to describe how the atoms within quantum materials behave when they absorb & emit light.

Using mechanical rather than statistical analysis, the team offers a new framework for understanding the climate system.

Five UCLA physicists, engineers & materials scientists will partner with hubs led by Lawrence Livermore National Lab and the University of Rochester.

The importance of transformer innovation and transformer supply chains to ensure grid reliability.

The imagers are designed to work with a digital backend to off-load computationally expensive operations into high-speed and low-power optics.

The research implies that the central network regulating energy balance in cyanobacteria may rest on a relatively few regulatory proteins.

Fusion researchers applied large language models to quickly sift through staggering amounts of data to make more informed decisions on the fly.

Arthur O’Donnell landed his job at the New Mexico Public Regulation Commission through the Energy Innovator Fellowship, where he now mentors other fellows. Read the interview about how CEIF shaped his career path.