Crossmark

Machine-learning-accelerated multimodal characterization and multiobjective design optimization of natural porous materials

Crossref DOI link: https://doi.org/10.1039/d1sc00816a

Published Online: 2021

Update policy: https://doi.org/10.1039/rsc_crossmark_policy

Authors

Lo Dico, Giulia https://orcid.org/0000-0001-9841-4399
Nuñez, Álvaro Peña https://orcid.org/0000-0002-5068-1399
Carcelén, Verónica

Haranczyk, Maciej https://orcid.org/0000-0001-7146-9568
Funding

Funding for this research was provided by:

Comunidad de Madrid (IND2018)

Comunidad de Madrid (IND-9819)
License Information

Version of Record valid from 2021-06-02
More Information

SIMILARITY CHECK

: This document is Similarity Check deposited

RELATED DATA

: Supplementary Information

IDENTIFIERS

: Giulia Lo Dico (ORCID)

: Giulia Lo Dico (ResearcherID)

: Álvaro Peña Nuñez (ORCID)

: Maciej Haranczyk (ORCID)

PEER REVIEW METHOD

: Single-blind

PUBLICATION HISTORY

: Received 9 February 2021; Accepted 1 June 2021; Accepted Manuscript published 2 June 2021; Advance Article published 17 June 2021; Version of Record published 14 July 2021