Results 51 to 60 of about 109,018 (255)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Sedimentary patterns and exploitation practices of tight-sand gas reservoirs in coal measure strata: A case study of the 3rd submember of the second member of the Permian Shanxi Formation in the Daning-Jixian block

Meitian dizhi yu kantan
BackgroundThe third submember of the second member of the Permian Shanxi Formation (also referred to as the Shan 23 submember) in the Daning-Jixian block along the eastern margin of the Ordos Basin is identified as a primary target layer for tight-sand ...
Lei ZHANG, Li HUANG, Longmei ZHAO, Feng WANG, Yixin ZHANG, Shi SHI, Wen ZHANG, Haoyang ZHAO, Tong CHEN, Jiangnan TONG   +9 more
doaj   +1 more source

Synergy of Pd Clusters and TiO2 {101} for Photocatalytic Nonoxidative Coupling of Methane

Advanced Science, EarlyView.
This study presents photocatalytic nonoxidative coupling of methane over cal‐Pd0.05/TiO2{101}, achieving near 100% selectivity and long‐term stability under mild flow conditions through synergistic single atoms and clusters catalysis. ABSTRACT Photocatalytic nonoxidative coupling of methane (NOCM) offers a sustainable route to valorize CH4 into C2 ...
Jianlong Yang, Annika S. Tang, Junwang Tang   +2 more
wiley   +1 more source

Lithology identification of shale gas reservoirs using multi-source intelligent learning algorithms

Discover Applied Sciences
Lithology classification of shale gas reservoirs is pivotal for oil and gas exploration and development, as it directly dictates the reliability of reservoir evaluation, fracturing design, and productivity prediction.
Ming Chen, Longfei Sun, Li Hao, Wei Xiong, Lin Yang, Liwei Cui   +5 more
doaj   +1 more source

Influence of rock mechanics characteristics on fracturing and development strategies in the Zhengzhuang Block

Meitan kexue jishu
The rock mechanical parameters of coal reservoirs play an important role in controlling the formation and evolution of natural fractures and the propagation of artificial fractures, and are the key factors affecting the fracturing transformation of coal ...
Cong ZHANG, Liping ZHAO, Ruiqiang YANG, Qi WANG, Guangjie SANG, Kexin LI, Yuting WANG, Huimin JIA, Jun LI   +8 more
doaj   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Nanoconfined Methane Storage Mechanism in Deep Coal Seams: A Wettability-Coupled Simplified Local Density Model

Nanomaterials
In deep coal seams, where nanopores (~2 nm) dominate, wettability effects, which govern molecule–wall interaction strength, critically control the methane storage, yet remain poorly understood.
Liang Ji, Xianyue Xiong, Zhihong Nie, Zhengchao Zhang, Ming Yuan, Yang Zhang, Chengchao Xu, Xiaolong Zhao, Hongtao Yang, Chengming Zhao, Zheng Sun   +10 more
doaj   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

Effect of a Combination of Phytogenic Compounds on In Vitro Rumen Fermentation Parameters and In Vivo Lactation Performance and Methane Emissions in Dairy Cows

Methane
An in vitro and an in vivo study were conducted to investigate the effects of a blend of cinnamaldehyde, eugenol, and capsicum oleoresin (CEC) on rumen fermentation parameters, animal performance, and methane (CH4) emissions in dairy cows.
Hajer Khelil-Arfa, Sara Maria Tondini, Alejandro Belanche, Juan Manuel Palma-Hidalgo, Alexandra Blanchard, David Yáñez-Ruiz, Guillermo Elcoso, Alex Bach   +7 more
doaj   +1 more source

Oxygenation of methane by methane-utilizing bacteria [PDF]

Biochemical Journal, 1970
I J, Higgins, J R, Quayle
openaire   +2 more sources