Jaynesian Analysis of Environmental Chemistry: Systems Model Component Integration via the Arctic Aquatic Carbon Cycle
Focal Areas: All three are touched upon from the OBER call. We will consider formal logical inference and entropic information analysis for sparse but intensive chemical measurements, as optimal drivers for managing process complexity. As a centerpiece for the discussion we take soil-to-sea organic...
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ftosti:oai:osti.gov:1769731 2023-07-30T04:00:57+02:00 Jaynesian Analysis of Environmental Chemistry: Systems Model Component Integration via the Arctic Aquatic Carbon Cycle Elliott, Scott Piliouras, A. Nadiga, B. Hoffman, F. Kumar, J. Tang, J. Mishra, U. 2022-01-28 application/pdf http://www.osti.gov/servlets/purl/1769731 https://www.osti.gov/biblio/1769731 https://doi.org/10.2172/1769731 unknown http://www.osti.gov/servlets/purl/1769731 https://www.osti.gov/biblio/1769731 https://doi.org/10.2172/1769731 doi:10.2172/1769731 58 GEOSCIENCES 54 ENVIRONMENTAL SCIENCES 97 MATHEMATICS AND COMPUTING 2022 ftosti https://doi.org/10.2172/1769731 2023-07-11T10:01:47Z Focal Areas: All three are touched upon from the OBER call. We will consider formal logical inference and entropic information analysis for sparse but intensive chemical measurements, as optimal drivers for managing process complexity. As a centerpiece for the discussion we take soil-to-sea organic structural evolution within the Arctic hydro-geochemosphere, assessing detrital negentropy then algorithmic greed to generate ranked, reduced mechanisms for system integration. Other/Unknown Material Arctic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic |
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Open Polar |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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ftosti |
language |
unknown |
topic |
58 GEOSCIENCES 54 ENVIRONMENTAL SCIENCES 97 MATHEMATICS AND COMPUTING |
spellingShingle |
58 GEOSCIENCES 54 ENVIRONMENTAL SCIENCES 97 MATHEMATICS AND COMPUTING Elliott, Scott Piliouras, A. Nadiga, B. Hoffman, F. Kumar, J. Tang, J. Mishra, U. Jaynesian Analysis of Environmental Chemistry: Systems Model Component Integration via the Arctic Aquatic Carbon Cycle |
topic_facet |
58 GEOSCIENCES 54 ENVIRONMENTAL SCIENCES 97 MATHEMATICS AND COMPUTING |
description |
Focal Areas: All three are touched upon from the OBER call. We will consider formal logical inference and entropic information analysis for sparse but intensive chemical measurements, as optimal drivers for managing process complexity. As a centerpiece for the discussion we take soil-to-sea organic structural evolution within the Arctic hydro-geochemosphere, assessing detrital negentropy then algorithmic greed to generate ranked, reduced mechanisms for system integration. |
author |
Elliott, Scott Piliouras, A. Nadiga, B. Hoffman, F. Kumar, J. Tang, J. Mishra, U. |
author_facet |
Elliott, Scott Piliouras, A. Nadiga, B. Hoffman, F. Kumar, J. Tang, J. Mishra, U. |
author_sort |
Elliott, Scott |
title |
Jaynesian Analysis of Environmental Chemistry: Systems Model Component Integration via the Arctic Aquatic Carbon Cycle |
title_short |
Jaynesian Analysis of Environmental Chemistry: Systems Model Component Integration via the Arctic Aquatic Carbon Cycle |
title_full |
Jaynesian Analysis of Environmental Chemistry: Systems Model Component Integration via the Arctic Aquatic Carbon Cycle |
title_fullStr |
Jaynesian Analysis of Environmental Chemistry: Systems Model Component Integration via the Arctic Aquatic Carbon Cycle |
title_full_unstemmed |
Jaynesian Analysis of Environmental Chemistry: Systems Model Component Integration via the Arctic Aquatic Carbon Cycle |
title_sort |
jaynesian analysis of environmental chemistry: systems model component integration via the arctic aquatic carbon cycle |
publishDate |
2022 |
url |
http://www.osti.gov/servlets/purl/1769731 https://www.osti.gov/biblio/1769731 https://doi.org/10.2172/1769731 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://www.osti.gov/servlets/purl/1769731 https://www.osti.gov/biblio/1769731 https://doi.org/10.2172/1769731 doi:10.2172/1769731 |
op_doi |
https://doi.org/10.2172/1769731 |
_version_ |
1772811646582915072 |