Results 151 to 160 of about 77,009 (269)
A new benign solvent (1,3‐diphenylacetone) enables a simple, safe, and sustainable dissolution and gelation method to convert waste PET into low density, monolithic aerogels with high mechanical strength (E = 20 MPa) and remarkably low thermal conductivity (k = 21.9 to 28.9 mW/m·K).
Kira R. Baugh +9 more
wiley +1 more source
Negative CO<sub>2</sub> emissions for long-term mitigation of extremes in land hydrological cycle. [PDF]
Shin J +10 more
europepmc +1 more source
A targeted modulation of the MoS2 electronic structure is achieved via substitutional n‐type Co/Fe co‐doping. This strategy triggers S‐mediated d‐p hybridization, optimizing the binding affinity with polysulfides to establish a volcano‐shaped relationship between the d‐band center and catalytic activity.
Junhyuk Ji +6 more
wiley +1 more source
Mitigating CO2 emissions associated with digital economy sectors through whole supply chain management. [PDF]
Wang W +6 more
europepmc +1 more source
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
China's petrochemical plants' CO<sub>2</sub> emissions and high-impact contributors for carbon-neutrality production. [PDF]
Chen X +5 more
europepmc +1 more source
Inspired by Acorus calamus leaves, a heterogeneous eutectic skin integrates an aligned fibrous network within a hydrophobic eutectogel matrix. This hierarchical architecture triggers strain‐induced crystallization to achieve exceptional mechanical toughness and durable wet adhesion.
Jiayu Hou +16 more
wiley +1 more source
Revisiting the determinants of CO2 emissions: The role of higher education under the extended STIRPAT model. [PDF]
Li Q.
europepmc +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Long period quakes linked to Mefite D'Ansanto (Italy) mantellic CO<sub>2</sub> emissions. [PDF]
Cusano P +3 more
europepmc +1 more source

