An evaluation of the performance characteristics of SCR utilizing a Fe<sub>2</sub>O<sub>3</sub>-SiO<sub>2</sub>/Al<sub>2</sub>O<sub>3</sub> synthesized catalyst for effective diesel engine exhaust emission reduction. [PDF]
Premkumar S +4 more
europepmc +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
CO<sub>2</sub> and N<sub>2</sub>O Emissions From Vehicles in Seoul Megacity, South Korea: Insights From Mixing Ratio and Stable Isotope Ratios. [PDF]
Kim J +7 more
europepmc +1 more source
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source
Advanced diesel emission control in agricultural tractors using Ni-CNT<sub>S</sub> nanocomposites and hybrid activated carbon-magnesium oxide adsorbents. [PDF]
Razek MEA +4 more
europepmc +1 more source
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 +8 more
wiley +1 more source
Post-ageing guided closed-loop discovery of multi-element alloy catalysts for automotive exhaust purification. [PDF]
Mikami H +9 more
europepmc +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
Characterization of woodsmoke generated in the air pollution exposure lab and comparison to diesel exhaust. [PDF]
Xi Y +7 more
europepmc +1 more source
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters +12 more
wiley +1 more source

