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› Uncertainty quantification of CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si193.svg" display="inline" id="d1e664"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> plume migration in highly channelized aquifers using probabilistic convolutional neural networks
Uncertainty quantification of CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si193.svg" display="inline" id="d1e664"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> plume migration in highly channelized aquifers using probabilistic convolutional neural networks
Research article (Advances in Water Resources, 2023) · cited 10× · AI/ML
Uncertainty quantification of CO2 plume migration in highly channelized aquifers using probabilistic convolutional neural networks
Summary
Uncertainty quantification of CO2 plume migration in highly channelized aquifers using probabilistic convolutional neural networks is a scholarly article<sup id="cite-A2" class="cite-ref" title="Uncertainty quantification of CO2[1].
Key Facts
Uncertainty quantification of CO2 plume migration in highly channelized aquifers using probabilistic convolutional neural networks's instance of is recorded as scholarly article<sup id="cite-C1" class="cite-ref" title="Uncertainty quantification of CO2[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Uncertainty quantification of CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si193.svg" display="inline" id="d1e664"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> plume migration in highly channelized aquifers using probabilistic convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/uncertainty-quantification-of-co-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si193-svg-display-inline-id-
MLA“Uncertainty quantification of CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si193.svg" display="inline" id="d1e664"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> plume migration in highly channelized aquifers using probabilistic convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uncertainty-quantification-of-co-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si193-svg-display-inline-id-.
BibTeX@misc{4ortxyz_uncertainty-quantification-of-co-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si193-svg-display-inline-id-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Uncertainty quantification of CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si193.svg" display="inline" id="d1e664"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> plume migration in highly channelized aquifers using probabilistic convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/uncertainty-quantification-of-co-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si193-svg-display-inline-id-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Uncertainty quantification of CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si193.svg" display="inline" id="d1e664"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> plume migration in highly channelized aquifers using probabilistic convolutional neural networks — https://4ort.xyz/entity/uncertainty-quantification-of-co-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si193-svg-display-inline-id- (retrieved 2026-05-24)
