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Ana M. Ribeiro

affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

211

TOTAL CITATIONS

5

Scholarly Papers (4)

1.

Evaluation of the Potential of a 3d-Printed Hybrid Zeolite 13x/Activated Carbon Material for Co2/N2 Separation Using Electric Swing Adsorption

Number of pages: 39 Posted: 30 Apr 2022
affiliation not provided to SSRN, Universidade do Porto, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 138 (530,816)
Citation 5

Abstract:

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Direct ink writing, zeolite 13X, Activated carbon, structured adsorbent, adsorption, CO2 capture

2.

Atmospheric Water Harvesting on MIL-100(Fe) Upon a Cyclic Adsorption Process

Number of pages: 32 Posted: 05 Jan 2022
Universidade do Porto - Laboratory of Catalysis and Materials (LSRE-LCM), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Korea Research Institute of Chemical Technology (KRICT) - Research Group for Nanocatalyst, affiliation not provided to SSRN and Universidade do Porto
Downloads 54 (1,020,567)

Abstract:

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MIL-100(Fe), water, adsorption, air, TSA

3.

Cheminformatics for Flavor Science: Mapping Structure–Perception Relationships Using PCA and Fuzzy C-Means

Number of pages: 27 Posted: 03 Feb 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Norwegian University of Science and Technology (NTNU), Norwegian University of Science and Technology (NTNU) and affiliation not provided to SSRN
Downloads 17 (1,481,165)

Abstract:

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Cheminformatics, Database refinement, Sensory descriptors, Flavor chemistry, Principal Component Analysis (PCA), Fuzzy C-means clustering

4.

VIANA: character Value-enhanced Intensity Assessment via domain-informed Neural Architectur

Number of pages: 16 Posted: 08 Apr 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Norwegian University of Science and Technology (NTNU)
Downloads 2 (1,584,314)

Abstract:

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Olfactory Intensity Prediction, Domain-Informed Machine Learning, Knowledge Transfer, Sensory Perception