Tag Archives: Materials Engineering Minor

Learn from the best this fall… take CHME 467/567 Nanoscience & Nanotechnology

It’s not everyday you get to learn from one of the most prolific and respected researchers in a particular field of study.  This is your chance!  This course is taught by renowned educator and nanoscience researcher, Dr. Hongmei Luo.  Dr. Luo has been recognized for excellence in both engineering education and nanoscience and electrochemical research…
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Changes to Applied Statistics class teaching schedule

UPDATE: Neither course will be offered Spring 2018. 10/24/2016: In order to accommodate a sabbatical and rationalize the longer term schedule of classes there are two upcoming changes to the Applied Statistics schedule that you should know about. Graduate students who are pursuing the minor of study should plan accordingly. A ST 507, Advanced Regression, has…
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Mathematical model of salt migration and coving phenomena in an adobe wall

Description: Establish the conservation equations and boundary conditions needed to solve for the transient movement of salts from the soil into an adobe wall upwards from grade. ┬áThis project will build on work performed┬áby Dr. Rockstraw with others in┬áMesilla Valley Preservation, Inc.┬á Completion Objectives: The complete set of conservation equations and boundary conditions relevant to…
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Nanostructured Materials for Lithium-Ion Batteries

Description: Lithium-ion batteries (LIBs) represent one of the most important and advanced technologies among rechargeable batteries due to their high energy density with high cell voltage suitable for applications in portable electronic devices and electric vehicles. Performance of LIBs strongly depends not only on the electrode materials but also on their microscopic structure. The advantages…
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Developing Correlations between Spectroscopic Results and Computed Net Atomic Charges

Description: In this project, quantum chemistry calculations will be performed to compute the net atomic charges of various transition metal solids. Using linear (or higher order polynomial) regression, the computed net atomic charges will be correlated to published core electron binding energies that were measure with x-ray photoelectron spectroscropy (XPS). (These correlations will be useful…
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