Journal Article

Rines, Joshua, David Yin, Jonas Kloeckner, and Jef Caers. “Interpolation of Large-Scale Airborne Geophysical Data With Uncertainty Quantification”, Computers & Geosciences, 215 (September 2026): 106201. https://doi.org/10.1016/j.cageo.2026.106201.

Li, Peng, Jack Muir, Gerrit Olivier, David Yin, and Jef Caers. “Sequential Efficacy of Information for Optimized Geophysical and Drilling Strategies in Mineral Exploration”, Geophysical Journal International, 246, no. 1 (May 25, 2026). https://doi.org/10.1093/gji/ggag176.

Caers, Jef, Peng Li, Jonas Kloeckner, Juan Pablo Daza, David Yin, and Celine Scheidt. “Stochastic Inversion of Geophysical Data by Sequential Bayesian Updating under a Non-Stationary Gaussian Process Prior”, EarthArXiv preprint, May 20, 2026. https://doi.org/10.31223/X5ZF5G.

Khalifi, Hamza, Jef Caers, Yassine Taha, Mostafa Benzaazoua, and Abdellatif Elghali. “Adaptive Mine Planning under Geological Uncertainty: A POMDP Framework for Sequential Decision-Making”, arXiv preprint, May 13, 2026. https://doi.org/10.48550/arXiv.2605.13702.

Asadi, Adel, Jef Caers, Pablo Mejia-Herrera, and David Yin. “Exploration Drill Targeting Based on Similarity With Known Economical Mineral Deposits”, Mining, Metallurgy & Exploration, April 7, 2026, 1-29. https://doi.org/10.1007/s42461-026-01544-w.

Wei, Xiaolong, Zhen Yin, Wilson Bonner, and Jef Caers. “Falsification of Geological Hypotheses Using Drillholes and Geophysics”, Surveys in Geophysics, February 13, 2026, 1-27. https://doi.org/10.1007/s10712-026-09936-9.

Lui, Timothy, Anirudh Prabhu, Anna Bidgood, Shaunna Morrison, and Jef Caers. “GeoChemNet: An Interactive Tool for Visualizing and Interpreting Outliers in Geochemical Data Using Networks”, Applied Geochemistry, 199 (January 28, 2026): 106712. https://doi.org/10.1016/j.apgeochem.2026.106712.

Scheidt, Céline, Francisco Neto, David Zhen Yin, and Jef Caers. “Optimizing Drilling in Brownfield Ni-Cu Depositional Systems Based on the Integration of Geochemical, Geophysical and Drill-Hole Data”, Minerals, January 15, 2026. https://doi.org/10.3390/min16010082.

Eskanlou, Amir, David Zhen Yin, and Jef Caers. “Gaussian Process Regression for Modeling Computational and Experimental Mineral Processing Data”, Minerals Engineering, January 3, 2026. https://doi.org/10.1016/j.mineng.2025.110000.

Xu, William, Amir Eskanlou, Mansur Arief, David Zhen Yin, and Jef Caers. “AI-Driven Optimization under Uncertainty for Mineral Processing Operations”, Sustainable Earth Resources Communications, December 25, 2025. https://doi.org/10.46690/serc.2025.02.07.

Caers, Jef. “The Future of AI in Critical Mineral Exploration”, Sustainable Earth Resources Communications, December 23, 2025. https://doi.org/10.46690/serc.2025.02.05.

Wei, Xiaolong, David Zhen Yin, Wilson Bonner, and Jef Caers. “Knowledge-Driven Stochastic Modeling of Geological Geometry Features Conditioned on Drillholes and Outcrop Contacts”, Computers & Geosciences, December 5, 2024. https://doi.org/10.1016/j.cageo.2024.105779.

Mern, John, Anthony Corso, Damian Burch, Kurt House, and Jef Caers. “Intelligent Prospector v2.0: Exploration Drill Planning under Epistemic Model Uncertainty”, arXiv preprint, October 14, 2024. https://doi.org/10.48550/arXiv.2410.10610.

Scheidt, Céline, Lucie Mathieu, David Zhen Yin, Lijing Wang, and Jef Caers. “Masked Autoregressive Flow for Geochemical Anomaly Detection With Application to Li–Cs–Ta Pegmatites Exploration of the Superior Craton, Canada”, Natural Resources Research, September 29, 2024. https://doi.org/10.1007/s11053-024-10409-2.

Park, Sulgiye, Cameron Tracy, and Rodney Ewing. “Reimagining US Rare Earth Production: Domestic Failures and the Decline of US Rare Earth Production Dominance – Lessons Learned and Recommendations”, Resources Policy, 85 (August 2023): 1-10. https://doi.org/10.1016/j.resourpol.2023.104022.

Mern, John, Anthony Corso, Damian Burch, Kurt House, and Jef Caers. “Intelligent Prospector v2. 0: Exploration Drill Planning under Epistemic Model Uncertainty”, arXiv preprint, October 14, 2021. https://doi.org/10.48550/arXiv.2410.10610.