Results 201 to 210 of about 1,195,820 (286)
Waste to Alternative Fuel: Experimental Investigation of the Effects of Pyrolytic Oil Obtained from Waste Tires, Waste Transformer Oil, and Diesel Fuel Ternary Blends on Engine Performance and Exhaust Emissions in a Diesel Engine. [PDF]
Yesilyurt MK +4 more
europepmc +1 more source
Selective CO formation in bicarbonate electrolysis is achieved by retaining reactive CO2 and tuning pH, while the competing hydrogen evolution reaction occurs at the interface. The rate‐determining step couples the chemical equilibrium of bicarbonate/CO2 with electrochemical charge transfer, offering insight into optimizing reaction conditions for ...
Lin Li +7 more
wiley +1 more source
Multi-Parametric Evaluation of a Novel Benzoylthiourea Derivative as a Combustion Modifier in Diesel-Ethanol Blends Under EGR Conditions. [PDF]
Coşman S.
europepmc +1 more source
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue +6 more
wiley +1 more source
Performance and emission multi-objective optimization of γ-Al<sub>2</sub>O<sub>3</sub> nanoparticle-enhanced E10 bioethanol-gasoline combustion in spark-ignition engines. [PDF]
Behjati RE +3 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
Evaluation of an Efficient Cogeneration Scheme and Reduction of Polluting Emissions for a Pilot-Scale Biodiesel Production Process. [PDF]
Altamirano-Muratalla MF +5 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

