Results 251 to 260 of about 776,607 (308)
Strategies for Reducing Automobile Fuel Consumption [PDF]
Carlos Romero +3 more
openalex +1 more source
Synthesizer: Chemistry‐Aware Machine Learning for Precision Control of Nanocrystal Growth
A new, data‐efficient approach to CsPbBr3 nanocrystal optimization combines chemical and physical insights with a Gaussian Process‐based machine learning algorithm. Implementation of the “Synthesizer” enables nm‐precise tuning of the emission wavelength while reducing experimental load in optimizing peak narrowness and photoluminescence quantum yield ...
Nina A. Henke +11 more
wiley +1 more source
Research on energy-saving adaptive optimization of hybrid electric vehicle based on improved dynamic programming and control rule extraction. [PDF]
Zhao R, Tang L.
europepmc +1 more source
Herein, a systematic digital twin workflow tailored for generating high‐fidelity virtual representations of anisotropic composite microstructures and giga‐voxel meso‐structural models is presented, leveraging a harmonious integration of top–down image‐based modeling and bottom–up data‐driven voxel generation.
Siwon Yu +7 more
wiley +1 more source
Calculation Simulation of Equivalent Thermomechanical Properties of Dispersion Nuclear Fuel. [PDF]
Yu H, Cong T, Zhang J.
europepmc +1 more source
Diesel Fuel Consumption During Chisel Plowing
H. Mark Hanna, Dana D. Schweitzer
openalex +2 more sources
Promoting Electrochemical Reactions with Dual‐Atom Catalysts for High‐Rate Lithium–Sulfur Batteries
A scalable strategy for synthesizing transition metal–bismuth atomic pairs on carbon nitride to accelerate sulfur redox reactions in lithium–sulfur batteries is presented. Nickel‐bismuth and cobatl‐bismuth catalysts improve rate performance by promoting direct electrochemical transitions and rapid Li2S nucleation, minimizing sulfur loss, and enhancing ...
Jing Yu +19 more
wiley +1 more source
Assessment of Air Pollutant Emissions from Road Transport in Thailand. [PDF]
Roemmontri J, Junpen A, Garivait S.
europepmc +1 more source
Emergent Motility of Self‐Organized Particle‐Giant Unilamellar Vesicle Assembly
Giant unilamellar vesicles (GUVs), when combined with silica particles under alternating electric fields, spontaneously self‐assemble into motile structures. Asymmetric particle decoration induces fluid flows that propel the assemblies, enabling persistent motion and reversible control.
Selcan Karaz +5 more
wiley +1 more source

