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Xiaoning Qian

Texas A&M University - Department of Electrical & Computer Engineering

United States

  • Texas A&M University - Department of Electrical & Computer Engineering

SCHOLARLY PAPERS

5

DOWNLOADS

330

TOTAL CITATIONS

11

Scholarly Papers (5)

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1.

A Composition-Based Predictive Model for the Transformation Strain of NiTi Shape Memory Alloys

Number of pages: 10 Posted: 07 Nov 2024
Sina Zadeh, Timothy Brown, Xiaoning Qian, Ibrahim Karaman and Raymundo Arroyave
Texas A&M University - Department of Materials Science and Engineering, Sandia National Laboratories, Texas A&M University - Department of Electrical & Computer Engineering, Texas A&M University - Department of Materials Science and Engineering and Texas A&M University - Department of Materials Science and Engineering
Downloads 117 (613,149)

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Shape Memory Alloys, Martensitic Phase Transformation, Transformation Strain, Machine Learning, Modeling

2.

An Interpretable Boosting-Based Predictive Model for Transformation Temperatures of Shape Memory Alloys

Number of pages: 12 Posted: 06 Dec 2022 Last Revised: 19 Feb 2024
Sina Zadeh, Amir Behbahanian, John Broucek, Mingzhou Fan, Guillermo Vazquez Tovar, Mohammad Noroozi, William Trehern, Xiaoning Qian, Ibrahim Karaman and R. Arroyave
Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Electrical & Computer Engineering, Texas A&M University - Department of Materials Science and Engineering, University of South Florida - Department of Industrial & Management, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Electrical & Computer Engineering, Texas A&M University - Department of Materials Science and Engineering and Texas A&M University - Department of Materials Science and Engineering
Downloads 102 (679,608)

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Shape Memory Alloys, Machine Learning, Martensitic transformation, Phase Transformation, Feature Engineering

3.

Data-Driven Study of Composition-Dependent Phase Compatibility in Niti Shape Memory Alloys

Number of pages: 16 Posted: 20 Feb 2024
Sina Zadeh, Cem Cakirhan, Danial Khatamsaz, John Broucek, Timothy Brown, Xiaoning Qian, Ibrahim Karaman and R. Arroyave
Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Sandia National Laboratories, Texas A&M University - Department of Electrical & Computer Engineering, Texas A&M University - Department of Materials Science and Engineering and Texas A&M University - Department of Materials Science and Engineering
Downloads 57 (1,000,027)
Citation 11

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Shape Memory Alloys, Martensitic transformation, Phase Compatibility, Thermal Hysteresis, Compatibility

4.

Trimer: Transcription Regulation Integrated With MEtabolic Regulation

Number of pages: 21 Posted: 29 Apr 2021
Puhua Niu, Maria J. Soto, Byung-Jun Yoon, Edward R. Dougherty, Francis J. Alexander, Ian Blaby and Xiaoning Qian
Texas A&M University, US Department of Energy Joint Genome Institute, Texas A&M University - Department of Electrical and Computer Engineering, Texas A&M University - Department of Electrical and Computer Engineering, Brookhaven National Laboratory, US Department of Energy Joint Genome Institute and Texas A&M University - Department of Electrical & Computer Engineering
Downloads 30 (1,332,057)

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5.

Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning

Number of pages: 33 Posted: 21 Sep 2021
Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty and Byung-Jun Yoon
Texas A&M University - Department of Electrical and Computer Engineering, Texas A&M University - Department of Electrical & Computer Engineering, Brookhaven National Laboratory, Texas A&M University - Department of Electrical and Computer Engineering and Texas A&M University - Department of Electrical and Computer Engineering
Downloads 24 (1,399,036)

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Optimal Bayesian transfer learning (OBTL), classification, error estimation, importance sampling