| Development of an uncertainty quantification predictive chemical reaction model for syngas combustion NA Slavinskaya, M Abbasi, JH Starcke, R Whitside, A Mirzayeva, U Riedel, ... Energy & Fuels 31 (3), 2274-2297, 2017 | 41 | 2017 |
| Consistency Analysis for Massively Inconsistent Datasets in Bound-to-Bound Data Collaboration A Hegde, W Li, J Oreluk, A Packard, M Frenklach SIAM/ASA Journal on Uncertainty Quantification 6 (2), 429-456, 2018 | 20 | 2018 |
| Application of Bound-to-Bound Data Collaboration approach for development and uncertainty quantification of a reduced char combustion model S Iavarone, J Oreluk, ST Smith, A Hegde, W Li, A Packard, M Frenklach, ... Fuel 232, 769-779, 2018 | 18 | 2018 |
| Design optimization toward alleviating forced response variation in cyclically periodic structure using Gaussian process K Zhou, A Hegde, P Cao, J Tang Journal of Vibration and Acoustics 139 (1), 2017 | 17 | 2017 |
| Representing model discrepancy in bound-to-bound data collaboration W Li, A Hegde, J Oreluk, A Packard, M Frenklach SIAM/ASA Journal on Uncertainty Quantification 9 (1), 231-259, 2021 | 9 | 2021 |
| Diagnostics of data-driven models: Uncertainty quantification of PM7 semi-empirical quantum chemical method J Oreluk, Z Liu, A Hegde, W Li, A Packard, M Frenklach, D Zubarev Scientific reports 8 (1), 1-12, 2018 | 9 | 2018 |
| Does a reduced model reproduce the uncertainty of the original full-size model? Z Liu, W Li, J Oreluk, A Hegde, A Packard, M Frenklach Combustion and Flame 226, 98-107, 2021 | 6 | 2021 |
| Identifying parametric variation in second-order system from frequency response measurement A Hegde, J Tang Journal of Vibration and Control 24 (5), 879-891, 2018 | 3 | 2018 |
| Investigation of Dataset Construction Parameters and their Impact on Reaction Model Optimization using PrIMe A Mirzayeva, N Slavinskaya, U Riedel, M Frenklach, A Packard, W Li, ... 2018 AIAA Aerospace Sciences Meeting, 0143, 2018 | 3 | 2018 |
| Scale-Bridging Model Development for Coal Particle Devolatilization BB Schroeder, ST Smith, PJ Smith, TH Fletcher, A Packard, M Frenklach, ... arXiv preprint arXiv:1609.00871, 2016 | 3 | 2016 |
| Bayesian calibration of interatomic potentials for binary alloys A Hegde, E Weiss, W Windl, H Najm, C Safta Computational Materials Science 214, 2022 | 2 | 2022 |
| Quantifying the agreement between computational models and experimental data under uncertainty AS Hegde PQDT-UK & Ireland, 2020 | 2 | 2020 |
| Bayesian calibration of interatomic potential models for binary alloys. A Hegde, C Safta, H Najm, E Weiss, W Windl Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 1 | 2021 |
| Consistent Syngas Chemical Mechanism from Collaborative Data Processing N Slavinskaya, JH Starcke, M Abbasi, A Mirzayeva, U Riedel, M Frenklach, ... 55th AIAA Aerospace Sciences Meeting, 0837, 2017 | 1 | 2017 |
| Supporting Information-Diagnostics of Data-Driven Models: Uncertainty Quantification of PM7 Semi-Empirical Quantum Chemical Method J Oreluk, Z Liu, A Hegde, W Li, A Packard, M Frenklach, D Zubarev | | 2018 |
