Calibration-prédiction en chimie computationnelle
Quantification des incertitudes de prédiction des méthodes de chimie quantique et de simulation moléculaire.
![]() | P. Pernot, "Validation of uncertainty quantification metrics: a primer", arXiv:2303.07170, mar 2023. |
![]() | A. M. Teale, T. Helgaker, A. Savin, C. Adamo, B. Aradi, A. V. Arbuznikov, P. W. Ayers, E. J. Baerends, V. Barone, P. Calaminici, E. Cancès, E. A. Carter, P. K. Chattaraj, H. Chermette, I. Ciofini, T. D. Crawford, F. De Proft, J. F. Dobson, C. Draxl, T. Frauenheim, E. Fromager, P. Fuentealba, L. Gagliardi, G. Galli, J. Gao, P. Geerlings, N. Gidopoulos, P. M. W. Gill, P. Gori-Giorgi, A. G"orling, T. Gould, S. Grimme, O. Gritsenko, H. J. A. Jensen, E. R. Johnson, R. O. Jones, M. Kaupp, A. M. Köster, L. Kronik, A. I. Krylov, S. Kvaal, A. Laestadius, M. Levy, M. Lewin, S. Liu, P. Loos, N. T. Maitra, F. Neese, J. P. Perdew, K. Pernal, P. Pernot, P. Piecuch, E. Rebolini, L. Reining, P. Romaniello, A. Ruzsinszky, D. R. Salahub, M. Scheffler, P. Schwerdtfeger, V. N. Staroverov, J. Sun, E. Tellgren, D. J. Tozer, S. B. Trickey, C. A. Ullrich, A. Vela, G. Vignale, T. A. Wesolowski, X. Xu, W. Yang, "DFT exchange: sharing perspectives on the workhorse of quantum chemistry and materials science", Phys. Chem. Chem. Phys., vol. 24, 2022, pp. 28700–28781. |
![]() | P. Pernot, "Confidence curves for UQ validation: probabilistic reference vs. oracle", arXiv:2206.15272, 2022. |
![]() | P. Pernot, "Prediction uncertainty validation for computational chemists", J. Chem. Phys., vol. 157, 2022, pp. 144103. |
![]() | P. Pernot, "The long road to calibrated prediction uncertainty in computational chemistry", J. Chem. Phys., vol. 156, 2022, pp. 114109. |
![]() | P. Pernot, A. Savin, "Should We Gain Confidence from the Similarity of Results between Methods ?", Computation, vol. 10, 2022, pp. 27. |
![]() | P. Pernot, A. Savin, "Using the Gini coefficient to characterize the shape of computational chemistry error distributions", Theor. Chem. Acc., vol. 140, 2021, pp. 24. |
![]() | A. Savin, P. Pernot, "Acknowledging user requirements for accuracy in computational chemistry benchmarks", Z. Anorg. Allg. Chem., vol. 646, 2020, pp. 1042–1045. |
![]() | P. Pernot, B. Huang and A. Savin, "Impact of non-normal error distributions on the benchmarking and ranking of Quantum Machine Learning models", Mach. Learn.: Sci. Technol., vol. 1, 2020, pp. 035011. |
![]() | P. Pernot, A. Savin, "Probabilistic performance estimators for computational chemistry methods: Systematic Improvement Probability and Ranking Probability Matrix. II. Applications", J. Chem. Phys., vol. 152, 2020, pp. 164109. |
![]() | P. Pernot, A. Savin, "Probabilistic performance estimators for computational chemistry methods: Systematic Improvement Probability and Ranking Probability Matrix. I. Theory", J. Chem. Phys., vol. 152, 2020, pp. 164108. |
![]() | F. Cailliez, P. Pernot, F. Rizzi, R. Jones, O. Knio, G. Arampatzis, P. Koumoutsakos, Uncertainty Quantification in Multiscale Materials Modeling, Yan Wang and David L. McDowell ed. Woodhead Publishing, 2020, ch. ch. Bayesian calibration of force fields for molecular simulations, pp. 169-227. |
P. Pernot, A. Savin, "Erratum: 'Probabilistic performance estimators for computational chemistry methods: The empirical cumulative distribution function of absolute errors' [J. Chem. Phys. 148, 241707 (2018)]", J. Chem. Phys., vol. 150, no. 21, 2019, pp. 219906. | |
![]() | P. Pernot, A. Savin, "Probabilistic performance estimators for computational chemistry methods: the empirical cumulative distribution function of absolute errors", J. Chem. Phys., vol. 148, 2018, pp. 241707. |
![]() | P. Pernot, "The parameter uncertainty inflation fallacy", J. Chem. Phys., vol. 147, no. 10, sep 2017, pp. 104102. |
![]() | P. Pernot, F. Cailliez, "A critical review of statistical calibration/prediction models handling data inconsistency and model inadequacy", AIChE Journal, vol. 63, 2017, pp. 4642–4665. |
![]() | B. Civalleri, R. Dovesi, P. Pernot, D. Presti, A. Savin, "On the Use of Benchmarks for Multiple Properties", Computation, vol. 4, 2016, pp. 20. |
![]() | P. Pernot, B. Civalleri, D. Presti, A. Savin, "Prediction Uncertainty of Density Functional Approximations for Properties of Crystals with Cubic Symmetry", J. Phys. Chem. A, vol. 119, 2015, pp. 5288-5304. |
![]() | F. Cailliez, A. Bourasseau and P. Pernot, "Calibration of forcefields for molecular simulation: Sequential design of computer experiments for building cost-efficient kriging metamodels", J. Comput. Chem., vol. 35, 2013, pp. 130–149. |
![]() | P. Pernot, F. Cailliez, "Comment on "Uncertainties in scaling factors for ab initio vibrational zero-point energies" [J. Chem. Phys. 130, 114102 (2009)] and "Calibration sets and the accuracy of vibrational scaling factors: A case study with the X3LYP hybrid functional" [J. Chem. Phys. 133, 114109 (2010)].", J. Chem. Phys., vol. 134, 2011, pp. 167101. |
![]() | F. Cailliez, P. Pernot, "Statistical approaches to forcefield calibration and prediction uncertainty of molecular simulations", J. Chem. Phys., vol. 134, 2011, pp. 054124. |