John Adam Stephens

Optimization & Uncertainty Quantification

Author profile picture

Optimization & Uncertainty Quantification

jasteph@sandia.gov

(505) 844-0407

Sandia National Laboratories, New Mexico
 P.O. Box 5800
 Albuquerque, NM 87185-1318

Biography

Adam joined Sandia in 2013 as a senior member of technical staff. He currently works primarily as a developer of Dakota (https://dakota.sandia.gov) and leads the Dakota Mission Integration thrust, which is charged with bridging the gap between upstream R&D and ordinary Dakota users. Adam’s research background and interests are in atomistic modeling and heterogeneous catalysis.

Education

  • B.S., Chemical Engineering, Texas Tech University (2002)
  • Ph.D., Chemical Engineering, The University of Texas at Austin (2012)

Publications

  • Modine, N., Stephens, J., Swiler, L., Thompson, A., Vogel, D., Cangi, A., Feilder, L., Rajamanickam, S., & Rajamanickam, S. (2022). Accelerating Multiscale Materials Modeling with Machine Learning. https://doi.org/10.2172/1889336 Publication ID: 80251
  • Eldred, M., Adams, B., Geraci, G., Portone, T., Ridgway, E., Stephens, J., Wildey, T., & Wildey, T. (2022). Deployment of Multifidelity Uncertainty Quantification for Thermal Battery Assessment Part I: Algorithms and Single Cell Results. https://doi.org/10.2172/1885882 Publication ID: 80135
  • Campione, S., Stephens, J., Martin, N., Eckert, A., Warne, L., Huerta, J., Pfeiffer, R.A., Jones, A., & Jones, A. (2021). Developing Uncertainty Quantification Strategies in Electromagnetic Problems Involving Highly Resonant Cavities. Journal of Verification, Validation and Uncertainty Quantification, 6(4). https://doi.org/10.1115/1.4051906 Publication ID: 79164
  • Ellis, J.A., Fiedler, L., Popoola, G.A., Modine, N., Stephens, J., Thompson, A., Cangi, A., Rajamanickam, S., & Rajamanickam, S. (2021). Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks. Physical Review B. https://doi.org/10.2172/1817970 Publication ID: 79009
  • Adams, B., Stephens, J., & Stephens, J. (2021). Dakota: Uncertainty Quantification and Beyond [Presentation]. https://www.osti.gov/biblio/1856466 Publication ID: 77717
  • Ellis, J., Rajamanickam, S., Modine, N., Thompson, A., Stephens, J., Cangi, A., & Cangi, A. (2021). Accelerating Multiscale Materials Modeling with Machine Learning [Conference Presenation]. https://doi.org/10.2172/1853873 Publication ID: 77423
  • Jones, A., Campione, S., Stephens, J., Eckert, A., Warne, L., Huerta, J., Pfeiffer, R.A., & Pfeiffer, R.A. (2020). UNCERTAINTY QUANTIFICATION IN ELECTROMAGNETIC [Conference Presenation]. https://doi.org/10.2172/1837143 Publication ID: 72233
  • Stephens, J. (2020). Managing execution of Dakota evaluations with Parsl [Conference Presenation]. https://doi.org/10.2172/1824264 Publication ID: 71082
  • Campione, S., Stephens, J., Martin, N., Eckert, A., Warne, L., Huerta, J., Pfeiffer, R.A., Jones, A., & Jones, A. (2020). UNCERTAINTY QUANTIFICATION IN ELECTROMAGNETIC PROBLEMS OF HIGHLY RESONANT CAVITIES USING DAKOTA [Conference Poster]. https://www.osti.gov/biblio/1761295 Publication ID: 70739
  • Beghini, L., Stershic, A., Stephens, J., & Stephens, J. (2019). Redesign of a forging geometry using Dakota optimization software [Conference Poster]. https://www.osti.gov/biblio/1641383 Publication ID: 70070
  • Stephens, J., Adams, B., Geraci, G., & Geraci, G. (2019). Dakota: What’s New? [Conference Poster]. https://www.osti.gov/biblio/1641381 Publication ID: 70068
  • Adams, B., Hough, P., Stephens, J., & Stephens, J. (2018). Dakota Optimization and UQ: Explore and Predict with Confidence [Conference Poster]. https://www.osti.gov/biblio/1513478 Publication ID: 62061
  • Adams, B., Stephens, J., & Stephens, J. (2018). Dakota Optimization and UQ: Explore and Predict with Confidence [Presentation]. https://www.osti.gov/biblio/1507940 Publication ID: 61616
  • Stephens, J., Adams, B., & Adams, B. (2018). Dakota: Explore and Predict with Confidence [Conference Poster]. https://www.osti.gov/biblio/1525600 Publication ID: 61415
  • Swiler, L., Stephens, J., & Stephens, J. (2017). UQ Theories Principles and Tools: Dakota Topics [Conference Poster]. https://www.osti.gov/biblio/1463778 Publication ID: 57683
  • Stephens, J. (2017). Algorithms for Design Exploration and Simulation Credibility [Conference Poster]. https://www.osti.gov/biblio/1424866 Publication ID: 55122
  • Decolvenaere, E., Thompson, A., Stephens, J., & Stephens, J. (2016). SNAP Update 2016 [Presentation]. https://www.osti.gov/biblio/1399191 Publication ID: 52679
  • Adams, B., Stephens, J., & Stephens, J. (2016). Dakota: Algorithms for Design Exploration and Simulation Credibility; Data Analysis Capabilities [Conference Poster]. https://www.osti.gov/biblio/1346113 Publication ID: 48663
  • Hough, P., Stephens, J., & Stephens, J. (2016). Dakota: Algorithms for Design Exploration and Simulation Credibility [Conference Poster]. https://www.osti.gov/biblio/1344843 Publication ID: 48477
  • Adams, B., Hough, P., Stephens, J., & Stephens, J. (2016). Dakota Software Training: Uncertainty Quantification [Presentation]. https://www.osti.gov/biblio/1239352 Publication ID: 47954
  • Dalbey, K., Adams, B., Stephens, J., Swiler, L., & Swiler, L. (2015). Dakota Sensitivity Analysis and Uncertainty Quantification with Examples [Conference Poster]. https://www.osti.gov/biblio/1244466 Publication ID: 42678
  • Thompson, A., Schultz, P., Crozier, P.S., Moore, S., Swiler, L., Stephens, J., Trott, C.R., Foiles, S., Tucker, G., & Tucker, G. (2014). Automated Algorithms for Quantum-Level Accuracy in Atomistic Simulations: LDRD Final Report. https://doi.org/10.2172/1158668 Publication ID: 38622
  • Adams, B., Jakeman, J., Swiler, L., Stephens, J., Vigil, D., Wildey, T., Bauman, L., Bohnhoff, W., Dalbey, K., Eddy, J., Ebeida, M., Eldred, M., Hough, P., Hu, K., & Hu, K. (2014). Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis :. https://doi.org/10.2172/1177077 Publication ID: 41017
  • Adams, B., Jakeman, J., Swiler, L., Stephens, J., Vigil, D., Wildey, T., Bauman, L., Bohnhoff, W., Dalbey, K., Eddy, J., Ebeida, M., Eldred, M., Hough, P., Hu, K., & Hu, K. (2014). Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis version 6.0 theory manual. https://doi.org/10.2172/1177048 Publication ID: 40814
Showing 10 of 24 publications.