arrow
Back
M

Michael McKerns

Los Alamos National Laboratory

14H-index
79Paper Count
584Citation Count
Published Papers 13
Publication Date
Efficient online quantum circuit learning with no upfront training
err2025-11-20
err0
errOAAI
errTom O’Leary; Piotr Czarnik; Elijah Pelofske; Andrew T. Sornborger; Michael McKerns; Lukasz Cincio
errShare
errSave
Probabilistic flux limiters
err2025-04-07
err0
PREAI
errNguyen-Fotiadis, Nga; Chiodi, Robert; McKerns, Michael; Sornborger, Andrew
errShare
errSave
Spotlight: efficient automated global optimization in rietveld analysis of diffraction data
err2025-03-11
err0
errOAAI
errBiwer, C. M.; Feng, Z.; Finstad, D.; Mcdonnell, M.; Knezevic, M.; Mckerns, M.; Savage, D. J.; Vogel, S. C.
errShare
errSave
Efficient learning of accurate surrogates for simulations of complex systems
err2024-05-17
err1
PREAI
errDiaw, A.; McKerns, M.; Sagert, I.; Stanton, L. G.; Murillo, M. S.
errShare
errSave
Predictive scale-bridging simulations through active learning
err2023-09-27
err1
errOAAI
errKarra, Satish; Mehana, Mohamed; Lubbers, Nicholas; Chen, Yu; Diaw, Abdourahmane; Santos, Javier E.; Pachalieva, Aleksandra; Pavel, Robert S.; Haack, Jeffrey R.; Mckerns, Michael; Junghans, Christoph; Kang, Qinjun; Livescu, Daniel; Germann, Timothy C.; Viswanathan, Hari S.
errShare
errSave
Machine learning changes the rules for flux limiters (vol 34, 085136, 2022)
err2023-05-03
err0
PREAI
errNguyen-Fotiadis, Nga; McKerns, Michael; Sornborger, Andrew
errShare
errSave
Machine learning changes the rules for flux limiters
err2022-08-24
err4
errOAAI
errNguyen-Fotiadis, Nga; McKerns, Michael; Sornborger, Andrew
errShare
errSave
Optimal uncertainty quantification with model uncertainty and legacy data
err2014-12-01
err9
errOAAI
errKamga, P. -H. T.; Li, B.; McKerns, M.; Nguyen, L. H.; Ortiz, M.; Owhadi, H.; Sullivan, T. J.
errShare
errSave
Optimal Uncertainty Quantification
err2013-01-01
err68
errOAAI
errOwhadi, H.; Scovel, C.; Sullivan, T. J.; McKerns, M.; Ortiz, M.
errShare
errSave
Rigorous model-based uncertainty quantification with application to terminal ballistics-Part II. Systems with uncontrollable inputs and large scatter
err2012-05-01
err19
PREAI
errAdams, M.; Lashgari, A.; Li, B.; Mc Kerns, M.; Mihaly, J.; Ortiz, M.; Owhadi, H.; Rosakis, A. J.; Stalzer, M.; Sullivan, T. J.
errShare
errSave
Rigorous model-based uncertainty quantification with application to terminal ballistics, part I: Systems with controllable inputs and small scatter
err2012-05-01
err16
PREAI
errKidane, A.; Lashgari, A.; Li, B.; McKerns, M.; Ortiz, M.; Owhadi, H.; Ravichandran, G.; Stalzer, M.; Sullivan, T. J.
errShare
errSave
errShare
errSave