Results 121 to 130 of about 4,417 (299)
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Li+‐induced lattice distortion, valence variation, and local charge redistribution in a rock salt‐structured high‐entropy oxide enable controlled metal exsolution, altering the Cu–Ni–Co exsolution sequence and delivering a surface Cu0‐enriched catalyst with exceptional activity and ethylene selectivity for acetylene semi‐hydrogenation.
Hailing Yu +17 more
wiley +2 more sources
Olive stone-derived biochar as a sustainable catalyst support for CO2 methanation
The hydrogenation of carbon dioxide (CO2) into methane presents a promising strategy for CO2 utilization. However, the large-scale implementation of this process remains limited by the lack of cost-effective and sustainable catalytic materials.
A. Villardon +5 more
doaj +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Analysis of particle and reactor-scale transport-kinetic interactions CO2 methanation
The design of an externally cooled fixed-bed reactor for CO2 methanation has been performed using microscopic forms of reaction engineering models that account for both particle-scale and reactor-scale transport-kinetic interactions.
Reddy, Pratheek Reddy C. R.
core
Monolithic NiZr0.1/SiOC catalysts with tailored architectures were fabricated via direct ink writing (DIW) 3D printing for CO2 methanation. Zr doping markedly enhanced low-temperature activity (
Honglei Mi, Yifan Zhang, Faliang Luo
doaj +1 more source
Nickel@Siloxene catalytic nanosheets for high-performance CO2 methanation
Two-dimensional (2D) materials are of considerable interest for catalyzing the heterogeneous conversion of CO2 to synthetic fuels. In this regard, 2D siloxene nanosheets, have escaped thorough exploration, despite being composed of earth-abundant ...
Xiaoliang Yan +21 more
doaj +1 more source
Carbon dioxide (CO2) methanation has emerged as a powerful tool, allowing CO2-rich gas utilization to generate value-added products, such as methane (CH4), which can be used as a fuel and chemicals.
Bruna G. Floriam +3 more
doaj
The thermodynamics and reactor optimization of CO2 methanation [PDF]
Doctor of ...
openaire +2 more sources
Embedding Chemistry and Pharmacy Into Sustainability
Chemistry and pharmacy provide products and processes that are indispensable for our high living standard. To understand their relationship with sustainability is important to allow them to contribute to sustainability in a sustainable manner. An integrated overview of green, circular, and sustainable chemistry and pharmacy is given and how they have t
Klaus Kümmerer
wiley +1 more source

