| Models for predicting impact sensitivity of energetic materials based on the trigger linkage hypothesis and Arrhenius kinetics TL Jensen, JF Moxnes, E Unneberg, D Christensen Journal of molecular modeling 26, 1-14, 2020 | 34 | 2020 |
| Improved measurements of impact sensitivities of energetic materials D Christensen, E Unneberg, E Høyheim, TL Jensen, NL Hjort New Trends in Research of Energetic Materials (NTREM) 25, 2023 | 3 | 2023 |
| Inference for Bayesian Nonparametric Models with Binary Response Data via Permutation Counting D Christensen Bayesian Analysis 19 (1), 293-318, 2024 | 2 | 2024 |
| Sequential experimental designs in regression: Theory for the Bruceton and Langlie designs D Christensen, EA Stoltenberg, NL Hjort arXiv preprint arXiv:2312.13387, 2023 | 1 | 2023 |
| Increased impact sensitivity in ageing high explosives; analysis of Amatol extracted from explosive remnants of war GP Novik, D Christensen Royal Society open science 11 (3), 231344, 2024 | | 2024 |
| perms: Marginal likelihood estimation for binary Bayesian nonparametric models in Python and R D Christensen, PAJ Moen arXiv preprint arXiv:2309.01536, 2023 | | 2023 |
| Nonparametric Bayesian sensitivity testing with optimal design D Christensen The 51st International Annual Conference of the Fraunhofer ICT, 2022 | | 2022 |
| Predicting scalar coupling constants via machine learning F Bakken, LL Sandberg, D Christensen, T Engøy, H Gisnås, L Aurdal | | 2021 |
| A symmetry-based simulation method for Bayesian nonparametric models with binary response data D Christensen European Meeting of Statisticians 2023 Warsaw 3–7 July, 2023 Book of …, 0 | | |
John F. MoxnesResearcher at NDRE確認したメール アドレス: uis.no
