Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS)–a state-of-the-art review

Y Yan, TN Borhani, SG Subraveti, KN Pai… - Energy & …, 2021 - pubs.rsc.org
Carbon capture, utilisation and storage (CCUS) will play a critical role in future
decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of …

Material evolution with nanotechnology, nanoarchitectonics, and materials informatics: what will be the next paradigm shift in nanoporous materials?

W Chaikittisilp, Y Yamauchi, K Ariga - Advanced Materials, 2022 - Wiley Online Library
Materials science and chemistry have played a central and significant role in advancing
society. With the shift toward sustainable living, it is anticipated that the development of …

The role of machine learning in the understanding and design of materials

SM Moosavi, KM Jablonka, B Smit - Journal of the American …, 2020 - ACS Publications
Developing algorithmic approaches for the rational design and discovery of materials can
enable us to systematically find novel materials, which can have huge technological and …

Performance-based screening of porous materials for carbon capture

AH Farmahini, S Krishnamurthy, D Friedrich… - Chemical …, 2021 - ACS Publications
Computational screening methods have changed the way new materials and processes are
discovered and designed. For adsorption-based gas separations and carbon capture, recent …

Inverse design of porous materials using artificial neural networks

B Kim, S Lee, J Kim - Science advances, 2020 - science.org
Generating optimal nanomaterials using artificial neural networks can potentially lead to a
notable revolution in future materials design. Although progress has been made in creating …

From 3D to 2D zeolite catalytic materials

J Přech, P Pizarro, DP Serrano, J Čejka - Chemical Society Reviews, 2018 - pubs.rsc.org
Research activities and recent developments in the area of three-dimensional zeolites and
their two-dimensional analogues are reviewed. Zeolites are the most important industrial …

A machine learning approach to zeolite synthesis enabled by automatic literature data extraction

Z Jensen, E Kim, S Kwon, TZH Gani… - ACS central …, 2019 - ACS Publications
Zeolites are porous, aluminosilicate materials with many industrial and “green” applications.
Despite their industrial relevance, many aspects of zeolite synthesis remain poorly …

Advances in theory and their application within the field of zeolite chemistry

V Van Speybroeck, K Hemelsoet, L Joos… - Chemical Society …, 2015 - pubs.rsc.org
Zeolites are versatile and fascinating materials which are vital for a wide range of industries,
due to their unique structural and chemical properties, which are the basis of applications in …

Materials genomics methods for high-throughput construction of COFs and targeted synthesis

Y Lan, X Han, M Tong, H Huang, Q Yang, D Liu… - Nature …, 2018 - nature.com
Materials genomics represents a research mode for materials development, for which
reliable methods for efficient materials construction are essential. Here we present a …

New stories of zeolite structures: their descriptions, determinations, predictions, and evaluations

Y Li, J Yu - Chemical reviews, 2014 - ACS Publications
Zeolites are an important class of inorganic crystalline materials that have been widely used
in the fields of petroleum refining, petrochemical industry, and fine chemical industry, as …