| The topology of geology 1: Topological analysis ST Thiele, MW Jessell, M Lindsay, V Ogarko, JF Wellmann, ... Journal of Structural Geology 91, 27-38, 2016 | 85 | 2016 |
| Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization E Pakyuz-Charrier, M Lindsay, V Ogarko, J Giraud, M Jessell Solid Earth 9 (2), 385-402, 2018 | 83 | 2018 |
| A fast multilevel algorithm for contact detection of arbitrarily polydisperse objects V Ogarko, S Luding Computer physics communications 183 (4), 931-936, 2012 | 76 | 2012 |
| Uncertainty reduction through geologically conditioned petrophysical constraints in joint inversion J Giraud, E Pakyuz-Charrier, M Jessell, M Lindsay, R Martin, V Ogarko Geophysics 82 (6), ID19-ID34, 2017 | 71 | 2017 |
| Prediction of polydisperse hard-sphere mixture behavior using tridisperse systems V Ogarko, S Luding Soft Matter 9 (40), 9530-9534, 2013 | 62 | 2013 |
| Equation of state and jamming density for equivalent bi-and polydisperse, smooth, hard sphere systems V Ogarko, S Luding The Journal of chemical physics 136 (12), 2012 | 59 | 2012 |
| Drillhole uncertainty propagation for three-dimensional geological modeling using Monte Carlo E Pakyuz-Charrier, J Giraud, V Ogarko, M Lindsay, M Jessell Tectonophysics 747, 16-39, 2018 | 46 | 2018 |
| Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization J Giraud, M Lindsay, V Ogarko, M Jessell, R Martin, E Pakyuz-Charrier Solid Earth 10 (1), 193-210, 2019 | 40 | 2019 |
| Simple effective rule to estimate the jamming packing fraction of polydisperse hard spheres A Santos, SB Yuste, M Lopez de Haro, G Odriozola, V Ogarko Physical Review E 89 (4), 040302, 2014 | 39 | 2014 |
| Optimal parameters for a hierarchical grid data structure for contact detection in arbitrarily polydisperse particle systems D Krijgsman, V Ogarko, S Luding Computational particle mechanics 1 (3), 357-372, 2014 | 38 | 2014 |
| A review of recent work on the Discrete Particle Method at the University of Twente: An introduction to the open-source package MercuryDPM AR Thornton, D Krijgsman, A te Voortwis, V Ogarko, S Luding, R Fransen, ... Discrete Element Methods 6, 2013 | 37* | 2013 |
| Sensitivity of constrained joint inversions to geological and petrophysical input data uncertainties with posterior geological analysis J Giraud, V Ogarko, M Lindsay, E Pakyuz-Charrier, M Jessell, R Martin Geophysical Journal International 218 (1), 666-688, 2019 | 36 | 2019 |
| Multi-scale methods for multi-component granular materials AR Thornton, T Weinhart, V Ogarko, S Luding Computer methods in materials science 13 (2), 197-212, 2013 | 36 | 2013 |
| Automated geological map deconstruction for 3D model construction using map2loop 1.0 and map2model 1.0 M Jessell, V Ogarko, Y De Rose, M Lindsay, R Joshi, A Piechocka, ... Geoscientific Model Development 14 (8), 5063-5092, 2021 | 28* | 2021 |
| Topological analysis in Monte Carlo simulation for uncertainty propagation E Pakyuz-Charrier, M Jessell, J Giraud, M Lindsay, V Ogarko Solid Earth 10 (5), 1663-1684, 2019 | 26* | 2019 |
| Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data V Ogarko, J Giraud, R Martin, M Jessell Geophysics 86 (2), G1-G11, 2021 | 24 | 2021 |
| Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging J Giraud, M Lindsay, M Jessell, V Ogarko Solid Earth 11 (2), 419-436, 2020 | 24* | 2020 |
| Structural, petrophysical, and geological constraints in potential field inversion using the Tomofast-x v1. 0 open-source code J Giraud, V Ogarko, R Martin, M Jessell, M Lindsay Geoscientific Model Development 14 (11), 6681-6709, 2021 | 21 | 2021 |
| Parallel three-dimensional electrical capacitance data imaging using a nonlinear inversion algorithm and Lp norm-based model regularization R Martin, V Ogarko, D Komatitsch, M Jessell Measurement 128, 428-445, 2018 | 20 | 2018 |
| Into the Noddyverse: A massive data store of 3D geological models for Machine Learning & inversion applications M Jessell, J Guo, Y Li, M Lindsay, R Scalzo, J Giraud, G Pirot, E Cripps, ... Earth System Science Data Discussions 2021, 1-19, 2021 | 18 | 2021 |
mark jessellCET/UWA在 uwa.edu.au 的电子邮件经过验证
