Energy and Materials

Colloidal chains that can mimic the swimming and crawling movements of real organisms could have have a significant benefit to the development of in vivo targeted drug delivery systems.

“We’re targeting the highest electric efficiency ever for something that’s powered by a fossil fuel – the world’s first 70 percent efficient natural-gas fueled power generation system,” said Robert Braun, professor of mechanical engineering. “It’s natural gas, but it’s clean and there are very few emissions other than carbon dioxide.”

“Artificial intelligence is certainly on the rise and has been for several years,” said Tracy Camp, department head and professor of computer science at Mines. “There’s just so much in our world today where we can use machine learning or AI to improve on our society or lives.”

Colorado School of Mines is proud to announce the winners of the 2019-2020 Faculty Awards for teaching and research excellence. The annual awards celebration, where the Office of Academic Affairs

Assistant Professor Kyle Leach is among 76 scientists at universities and national labs across the country to win the prestigious award this year

The new programs draw from the core areas of expertise Mines is known for — from civil and environmental engineering to extraction to materials science — to create an interdisciplinary field of study that prepares students for the next step in their careers.

The Graduate Transfer Articulation Agreement will allow Advanced Manufacturing Sciences students from MSU Denver to complete graduate degrees at Mines.

Post-processing – the labor intensive, detailed work that must occur after an additively manufactured part is printed before it is ready for use – currently accounts for 46 percent of the cost of metal 3D printing. Overall, metal additive manufacturing is projected to be a $25 billion a year industry by 2025.

Diego Gomez-Gualdron, assistant professor of chemical and biological engineering, contributed with computational modeling to the Northwestern University-led project

A team of Mines professors have received National Science Foundation funding to develop computational tools to predict COVID-19 infections at individual and population levels.