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Search Publications by: Howie Joress (Fed)

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Displaying 26 - 33 of 33

An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty for Training New Machine Learning Models

June 9, 2021
Author(s)
Jason Hattrick-Simpers, Brian DeCost, Aaron Gilad Kusne, Howard Joress, Winnie Wong-Ng, Debra Kaiser, Andriy Zakutayev, Caleb Phillips, Tonio Buonassisi, Shijing Sun, Janak Thapa
Modern machine learning and autonomous experimentation schemes in materials science rely on accurate analysis of the data ingested by these models. Unfortunately, accurate analysis of the underlying data can be difficult, even for domain experts

Exploring the First High Entropy Thin Film Libraries: Composition spread-controlled Crystalline Structure

March 19, 2021
Author(s)
Thi X. Nguyen, Yen-Hsun Su, Jason Hattrick-Simpers, Takahiro Nagata, Howard Joress, Kao-Shuo Chang, Suchismita Sarker, Apurva Mehta, Jyh-Ming Ting
Thin films of two types of high-entropy oxides (HEOs) have been deposited on 76.2 mm Si wafers using combinatorial sputter deposition. In one type of the oxides, (MgZnMnCoNi)Ox, all the metals have a stable divalent oxidation state and similar cationic

{A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al

June 4, 2020
Author(s)
Howard L. Joress, Brian L. DeCost, Suchismita Sarker, Trevor M. Braun, Logan T. Ward, Kevin Laws, Apurva Mehta, Jason R. Hattrick-Simpers
Based on a set of machine learning predictions of glass formation in the Ni-Ti-Al system, we have undertaken a high-throughput experimental study of that system. We utilized rapid synthesis followed by high- throughput structural and electrochemical

APPLICATIONS OF HIGH-THROUGHPUT SCREENING TOOLS FOR THERMOELECTRIC MATERIALS

June 21, 2011
Author(s)
Winnie K. Wong-Ng, Howard L. Joress, Joshua B. Martin, Yonggao Y. Yan, Jihui Yang, Makoto Otani, Evan L. Thomas, Martin L. Green, Jason Hattrick-Simpers
The increased research and development on thermoelectric materials in recent years has been driven primarily by the need for improved efficiency in the global utilization of energy resources. To facilitate the search for new thermoelectric materials, we