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Mendenhall Research Fellowship Program

The U.S. Geological Survey (USGS) started the Mendenhall Research Fellowship Program in honor of Walter C. Mendenhall (1871-1957), the fifth Director of the USGS. The Program provides postdoctoral Fellows opportunities to work on research with USGS scientists to enhance their scientific stature and credentials and to advance USGS science.

News

Make Your Benchmark: Join the Mendenhall Research Fellowship Program

Make Your Benchmark: Join the Mendenhall Research Fellowship Program

Could You Be a Mendenhall Fellow?

Could You Be a Mendenhall Fellow?

Volcano Watch — The refilling of Halemaʻumaʻu crater

Volcano Watch — The refilling of Halemaʻumaʻu crater

Publications

When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates

Previous moderate- and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable models are employed, expert decisions also introduce human and, thereby, model bias. This bias can present a source of err
Authors
Stanley Paul Mordensky, John Lipor, Jacob DeAngelo, Erick R. Burns, Cary Ruth Lindsey

New maps of conductive heat flow in the Great Basin, USA: Separating conductive and convective influences

Geothermal well data from Southern Methodist University and the U.S. Geological Survey (USGS) were used to create maps of estimated background conductive heat flow across the Great Basin region of the western United States. These heat flow maps were generated as part of the USGS hydrothermal and Enhanced Geothermal Systems resource assessment process, and the creation process seeks to remove the i
Authors
Jacob DeAngelo, Erick R. Burns, Emilie Gentry, Joseph F. Batir, Cary Ruth Lindsey, Stanley Paul Mordensky

What did they just say? Building a Rosetta stone for geoscience and machine learning

Modern advancements in science and engineering are built upon multidisciplinary projects that bring experts together from different fields. Within their respective disciplines, researchers rely on precise terminology for specific ideas, principles, methods, and theories. Hence, the potential for miscommunication is substantial, especially when common words have been adopted by one (or both) group(
Authors
Stanley Paul Mordensky, John Lipor, Erick R. Burns, Cary Ruth Lindsey