(2026) Computers & Geosciences Vol. 214. Elsevier BV

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Reference Type	Journal (volume)
Journal	Computers & Geosciences	ISSN	0098-3004
Year	2026	Volume	< 214 >
Publisher	Elsevier BV
Mindat Ref. ID	19954553	Long-form Identifier	mindat:1:5:19954553:9
GUID	0
Full Reference	(2026) Computers & Geosciences Vol. 214. Elsevier BV
Plain Text	(2026) Computers & Geosciences Vol. 214. Elsevier BV
In	Elsevier BV (1975 - 2021) Computers & Geosciences

Contains

	Song, Xiaolong; Feng, Han; Xu, Haijue; Bai, Yuchuan (2026) An enhanced satellite PIV and graph-based skeletonization workflow for diagnosing migration regimes in regulated transitional rivers. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106183
	Rakotonirina, Herbert; Lohier, Théophile; Baptiste, Julien; Tissoux, Hélène; Lacquement, Frédéric; Richer-de-Forges, Anne (2026) Predictive mapping and assignment uncertainty with a spatially adjusted Gaussian mixture model. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106184
	Shi, Leyan; Dai, Wen; Wang, Zixin; Sun, Jiangbing; Zhang, Yan; Chen, Jie; Liu, Yixiao (2026) Generative modeling of complex karst landforms using terrain feature-constrained CGANs. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106185
	Shishaev, Gleb; Demyanov, Vasily; Arnold, Daniel (2026) History matching under uncertainty of geological scenarios with implicit geological realism control with generative deep learning and graph convolutions. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106186
	Santiviago, Claudia; Parker, Wayne; Smith, Scott (2026) Decision-free aqueous speciation with precipitation: Migrating from iterative if-loops to closed-form tableau using Fischer–Burmeister and piecewise constraints. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106193
	Wang, Zheng; Jiang, Shu; Cui, Zhesi; Dong, Xiaobin; Zhou, Xinrui; Liu, Hongji; Xiao, Xinming; Zhang, Haosen (2026) Prediction of total organic carbon content and free hydrocarbon content in shale oil reservoirs based on a Self-Consistent Adaptive Regression Network (SCARNet). Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106194
	Donno, Davide; Elia, Donatello; Accarino, Gabriele; De Carlo, Marco; Scoccimarro, Enrico; Gualdi, Silvio (2026) ByteStorm: A multi-step data-driven approach for Tropical Cyclones detection and tracking. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106195
	Sampaio, Marcio A.; Ranazzi, Paulo H.; Blunt, Martin J. (2026) Enhancing the parameterization of reservoir properties for data assimilation using deep VAE-GAN. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106196
	Davarpanah, Armita; Babaie, Hassan A.; Elliott, W. Crawford; Tang, Yuanzhi; Schroeder, Paul A. (2026) GraphRAG and LLM-driven semantic exploration of critical mineral data. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106197
	Tang, Zhenghao; Yan, Baiquan; Sun, Yu; Wang, Suibao; Yang, Daming; Zhang, Xiuli; Yu, Tao; Zhou, Jie (2026) Reservoir facies modeling under multiple depositional conditions using latent diffusion models. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106198
	Pártl, Ondřej; Meneses Rioseco, Ernesto (2026) Computational framework for modeling, simulation, and optimization of geothermal energy production from naturally fractured reservoirs. Computers & Geosciences, 214. doi:10.1016/j.cageo.2026.106199

	*(2024) Computers & Education* Vol. 214. Elsevier BV**
	*(n.d.) Computers & Structures* Vol. 214. Elsevier BV**
	*(2024) Computers & Geosciences* Vol. 185. Elsevier BV**
	*(2024) Computers & Geosciences* Vol. 184. Elsevier BV**
	*(2024) Computers & Geosciences* Vol. 189. Elsevier BV**
	*(2024) Computers & Geosciences* Vol. 187. Elsevier BV**
	*(2024) Computers & Geosciences* Vol. 186. Elsevier BV**
	*(2024) Computers & Geosciences* Vol. 188. Elsevier BV**
	*(2024) Computers & Geosciences* Vol. 190. Elsevier BV**
	*(1975) Computers & Geosciences* Vol. 1. Elsevier BV**
	*(1976) Computers & Geosciences* Vol. 2. Elsevier BV**

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To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
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(2026) Computers & Geosciences Vol. 214. Elsevier BV

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