Research at Mines
Impacting the world — one problem at a time.
Leading the Way
Welcome to the world of Mines Research and Technology Transfer. Research at Colorado School of Mines has always been inspired by the changing needs of society and has driven the creation of new technologies to address those needs.
Because of our historical roots in gold and silver mining, Mines is widely known for our geological and earth resource-related work, but the reality today is far greater. Our motto, “Earth, Energy, Environment” does not constrain the type of research we do; rather, it highlights the types of problems – highly complex, often under-determined, and dynamic – that we like to solve. The earth, energy and environmental challenges on earth (and beyond) will increasingly demand everything from quantum computation to new mathematics, as well as a “no atom left behind” approach to managing our resources, and Mines research today encompasses all of these and more. The collective talent of our faculty and students, combined with a culture of use-inspired and transdisciplinary research, are at the core of Mines’ success and enable a host of strong alliances with industry, with other universities, and with government institutions – many focused on discovery, extraction and recycling of mineral, energy or water resources. In particular, a history of transitioning new technologies to our industry partners keeps our eyes on our mission: research for the benefit of society. I am confident you will find on our website a sense of the vitality, diversity and problem-focused philosophy of Mines research, from discovery to invention to solutions.
Vice President for Research and Technology Transfer
Research Leadership Team
Office of Industry Relations
Unique Research Facilities
- Hildreth wins NSF CAREER Award for work to streamline post-processing in metal additive manufacturing
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 meta …
- Mines researcher contributes to development of new gas storage method that could help next-gen clean energy vehicles
Diego Gomez-Gualdron, assistant professor of chemical and biological engineering, contributed with computational modeling to the Northwestern University-led project
- How likely am I to have COVID-19 complications? Machine learning could help predict the answer.
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.
- Samaniuk wins NSF CAREER Award for work on 2D particle interaction, fabrication
Atomically thin particles – described that way because they are typically only 1-3 atoms thick – are of interest to scientists because of the unique properties that such small thickness creates.