Machine learning for electrocatalyst and photocatalyst design and discovery
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …
reducing the impact of global warming, and providing solutions to environmental pollution …
g‐C3N4‐Based 2D/2D Composite Heterojunction Photocatalyst
Employing semiconductor photocatalysis to transform solar energy into chemical energy
provides a practicable strategy for the alleviation of energy and environmental crisis …
provides a practicable strategy for the alleviation of energy and environmental crisis …
Hydrothermal synthesis of Z-scheme Bi2WO6/Bi2MoO6 heterojunctions for the enhanced photoelectrocatalytic performance of TiO2 NTs: structure, activity and …
K Wang, Q Wang, Y Zhao, Z Zhang, S Liao, Y Deng… - Fuel, 2023 - Elsevier
In this paper, the direct Z-scheme Bi 2 WO 6-Bi 2 MoO 6 heterojunctions were constructed by
the simple hydrothermal deposition on TiO 2 nanotube arrays (TiO 2 NTs). The results …
the simple hydrothermal deposition on TiO 2 nanotube arrays (TiO 2 NTs). The results …
Enhancing the electronic properties of TiO2 nanoparticles through carbon doping: An integrated DFTB and computer vision approach
In this study, an innovative approach is explored that combines Density Functional Tight
Binding (DFTB) with Computer Vision (CV) techniques to analyze the electronic structure …
Binding (DFTB) with Computer Vision (CV) techniques to analyze the electronic structure …
Machine Learning for Chemical Looping: Recent Advances and Prospects
Chemical looping is a revolutionary energy conversion method aimed at the low-carbon
transformation of fossil fuels. The development of this technology primarily involves the …
transformation of fossil fuels. The development of this technology primarily involves the …
Combination of ensemble machine learning models in photocatalytic studies using nano TiO2-Lignin based biochar
Synergizing photocatalytic reactions with machine learning methods can effectively optimize
and automate the remediation of pollutants. In this work, commercial Degussa TiO 2 …
and automate the remediation of pollutants. In this work, commercial Degussa TiO 2 …
Machine learning aided design of Bi2WO6/MIL-53 (Al) nanocomposites
X Zhai, M Chen - Computational Materials Science, 2024 - Elsevier
It is a very rewarding work to quickly develop a new type of visible-light photocatalyst Bi 2
WO 6/MIL-53 (Al)(BWO/MIL) nanocomposites with desired property in enormous material …
WO 6/MIL-53 (Al)(BWO/MIL) nanocomposites with desired property in enormous material …