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Howie Joress (Fed)

Materials Research Engineer

Howie Joress is a materials research engineer in the Materials for Energy and Sustainable Development Group at the National Institute of Standards and Technology. He got his B.S. from Johns Hopkins University and his Ph.D. at Cornell University, both in Materials Science and Engineering. His PhD work, carried out at the Cornell High Energy Synchrotron Source (CHESS), focused on in situ and time resolved methods of characterizing material transformations, particularly in thin films.  Since moving to NIST, Howie's research has focused on combining novel methods of high-throughput synthesis and characterization with machine learning algorithms in autonomous materials development cycles.  His current work focuses on automated x-ray methods for structural characterization of high entropy alloys and development of a fully automated scanning droplet cell system for electrochemical deposition and corrosion of alloys. 

 

Publications

Flexible formulation of value for experiment interpretation and design

Author(s)
Matthew Carbone, Hyeong Jin Kim, Chandima Fernando, Shinjae Yoo, Daniel Olds, Howie Joress, Brian DeCost, Bruce D. Ravel, Yugang Zhang, Phillip Michael Maffettone
The challenge of optimal design of experiments pervades materials science, physics, chemistry, and biology. Bayesian optimization has been used to address this
Created December 8, 2019, Updated May 9, 2023