Characterizing Boron and Lithium Partitioning in Martian Analog Materials Using Comprehensive Geo-Chemical Analysis, Principal Component Analysis, and Machine Learning (2024) — D Das, VV Vesselinov, T Kliphuis, E Peterson, L Crossey, MA Nellessen, ...
Mapping glacier basal sliding applying machine learning (2023) — Josefine Umlauft, Christopher Whilliam Johnson, Philippe Roux, Daniel Taylor Trugman, Albanne Lecointre, Andrea Walpersdorf, Ugo Nanni, Florent Gimbert, Bertrand Rouet-Leduc, Claudia Hulbert, Paul Allan Johnson
Mapping glacier basal sliding with machine learning (2023) — Josefine Umlauft, Christopher Johnson, Philippe Roux, Daniel Trugman, Albanne Lecointre, Andrea Walpersdorf, Ugo Nanni, Florent Gimbert, Bertrand Rouet-Leduc, Claudia Hulbert, Paul Johnson
Straining to find the permeability (2023) — Bryan Euser, Christopher W. Johnson, Robert A. Guyer, Esteban Rougier, Carly M. Donahue, George D. Guthrie, Antonio Munjiza, Paul A. Johnson
Coupled modelling of fault stability fluctuations during magmatic injection: A case study of the Valles Caldera and Pajarito fault zone (2022) — N Hobbs, J van Wijk, DD Coblentz, D Lucero
Progress of GeoThermalCloud: A Machine Learning Based Tool for Discovery, Exploration, and Development of Hidden Geothermal Resources (2022) — B Ahmmed, MK Mudunuru, LP Frash, VV Vesselinov
Progressive flat-slab coupling as a driving mechanism for the Laramide orogeny (2022) — N Hobbs, J van Wijk, GJ Axen
Straining to Learn Permeability (2022) — Bryan Euser, Christopher Johnson, Robert Guyer, Esteban Rougier, Carly Donahue, George Guthrie, Antonio Munjiza, Paul Johnson
Changes in sediment dispersal and basin geometry driven by flat slab modification of the upper plate during the Laramide orogeny (2021) — N Hobbs, J Van Wijk, J Saylor, Z Li, J Aschoff
Laboratory earthquake forecasting: A machine learning competition (2021) — Paul A. Johnson, Bertrand Rouet-Leduc, Laura J. Pyrak-Nolte, Gregory C. Beroza, Chris J. Marone, Claudia Hulbert, Addison Howard, Philipp Singer, Dmitry Gordeev, Dimosthenis Karaflos, Corey J. Levinson, Pascal Pfeiffer, Kin Ming Puk, Walter Reade
ChemML: Physics-Informed AI/ML of Geochemical Datasets for Characterization, Parameterization, and Prediction of Contaminant Transport and Remediation Processes (2016) — TL Kliphuis, V Vesselinov
信頼度のさらに高いモデルをめざして 地球物理学における時間反転法 (2011) — CS Larmat, RA Guyer, PA Johnson
1994 年加州北岭地震期间洛杉矶盆地非线性沉积场地反应的大小 (2000) — IA Beresnev, EH Field, KVD Abeele, PA Johnson