Multiscale Computational Approaches toward the Understanding of Materials

resumo

Herewith, an overview of the group's collaborative research efforts on the development and deployment of computational approaches to understand materials and tools at different length and time scales is presented. The techniques employed range from quantum mechanical approaches based on the density functional theory to classical atomistic and coarse-grained force field methods, targeting molecular systems composed of a few to several million atoms at different levels of detail. These new tools and molecular models are presented to the computational materials science community so they can be used in more realistic molecular modelling studies of the properties of materials and their dependence on subtle modifications of their structures. The review concludes by presenting a selection of recent computational case-studies oriented toward the understanding of the synthesis of materials, the interpretation of unexpected experimental results, the prediction of material properties, and the materials selection based on their characteristics for applications in areas such as gas adsorption/separation, corrosion protection, and catalysis.

palavras-chave

LAYERED DOUBLE HYDROXIDES; METAL-ORGANIC FRAMEWORKS; CROSS-LINKED EPOXY; HYDROTALCITE-LIKE COMPOUNDS; MONTE-CARLO-SIMULATION; STRUCTURE-PROPERTY RELATIONSHIPS; MOLECULAR-DYNAMICS SIMULATIONS; COARSE-GRAINED MODEL; MESOPOROUS SILICA; FORCE-FIELD

categoria

Science & Technology - Other Topics

autores

Bordonhos, M; Galvao, TLP; Gomes, JRB; Gouveia, JD; Jorge, M; Lourenço, MAO; Pereira, JM; Pérez-Sánchez, G; Pinto, ML; Silva, CM; Tedim, J; Zêzere, B

nossos autores

agradecimentos

This work was developed within the scope of the projects CICECO - Aveiro Institute of Materials (UIDB/50011/2020, UIDP/50011/2020 and LA/P/0006/2020) and CERENA (UIDB/04028/2020 and UIDP/04028/2020), financed by national funds through the FCT/MEC (PIDDAC). It was also financed in the frame of projects SELMA (PTDC/QEQ-QFI/4719/2014), SILVIA (PTDC/QUI-QFI/31002/2017 and CENTRO-01-0145-FEDER-31002), DataCor (POCI-01-0145-FEDER-030256 and PTDC/QUI-QFI/30256/2017, ) and the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement ID 101007430 (COAT4LIFE). The authors are also thankful to FCT I.P. for the computational resources granted in the framework of the Call for Advanced Computing Projects. G.P.-S. acknowledges the funding from FCT, I.P. (Decree-Laws 57/2016 and 2017). M.B. and B.Z. thank FCT for the Ph.D. grants SFRH/BD/147239/2019 and SFRH/BD/137751/2018, respectively. The authors acknowledge support from COST Action 18234 "Computational materials sciences for efficient water splitting with nanocrystals from abundant elements."

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