Results 51 to 60 of about 26,343 (216)

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

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

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

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction

Advanced Science, EarlyView.
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen, Bapan Biswas, Apinya Ngoipala, Julia Wiktor, Ujjwal Pal, Shalini Singh   +5 more
wiley   +1 more source

Chlorine‐Functionalized Silane‐Modified Copper Electrocatalyst for Enhanced CO2 Reduction to Multi‐Carbon Products

Advanced Science, EarlyView.
A chlorine‐functionalized silane modifier (CPTMS) is introduced to cooperatively regulate CO2 reduction to C2+ products on Cu‐based catalysts. Dual‐functional interface sequentially enhances CO2 activation, intermediates protonation and C─C coupling, delivering a 5‐fold increase in C2+ faradaic efficiency (FE, 75% vs.
Ying Ying Ch'ng, Sankhadip Saha, Ming Zhang, Shujie Zhou, Lixue Jiang, Putri Ramadhany, Jitraporn Vongsvivut, Adrian Cernescu, Priyank Vijaya Kumar, Yihao Shan, Zhipeng Ma, Xiaoxuan Luo, Rahman Daiyan, Zhaojun Han, Rose Amal   +14 more
wiley   +1 more source

The Plant‐to‐Plant Circular Strategy: Coupling Photodegradation and Phytoremediation With Plant‐Based Nanomaterials for Plastic Degradation

Advanced Science, EarlyView.
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu, Lena Ciric, Yuheng Wang, Ziru Pei, Manpreet Bhatti   +4 more
wiley   +1 more source

The atmospheric cycling of radiomethane and the "fossil fraction" of the methane source [PDF]

Atmospheric Chemistry and Physics, 2007
The cycling of 14CH4 ("radiomethane") through the atmosphere has been strongly perturbed in the industrial era by the release of 14C-free methane from geologic reservoirs ("fossil methane" emissions), and in the nuclear era ...
K. R. Lassey, D. C. Lowe, A. M. Smith
doaj  

Intrinsic Phonons as a Dynamic Control Knob for Catalytic Reactivity in 2D Materials

Advanced Science, EarlyView.
Intrinsic phonon excitations are demonstrated to serve as a dynamic control knob for catalytic reactivity in 2D materials. Mode‐selective lattice vibrations reconstruct the electronic structure, lower oxygen evolution reaction barriers, establishing a phonon‐engineering paradigm for dynamically regulating electrocatalysis beyond conventional static ...
Kai Ren, Feifan Wang, Yong‐Wei Zhang, Tianyang Liu, Liangzhi Kou, Yu Jing   +5 more
wiley   +1 more source

Ru‐Doping‐Engineered Oxygen Vacancies in MoO3‐x Nanostructured Films With Ultrahigh Capacitance for Flexible Asymmetric Supercapacitors

Advanced Science, EarlyView.
Ru‐doping‐induced defect engineering enables freestanding Ru–MoO3‐x flexible films with enriched oxygen vacancies, modulated band structure, and enhanced charge transport. The optimized electrode delivers ultrahigh capacitance approaching the theoretical limit of MoO3, while assembled asymmetric supercapacitors exhibit high energy density, wide‐voltage
Xiaoqing Bin, Minhao Sheng, Norman C.‐R. Chen, Xiangyang Liu, Yingji Zhao, Yingyi Liao, Wenxiu Que, Yusuke Asakura, Yusuke Yamauchi   +8 more
wiley   +1 more source