Results 41 to 50 of about 2,159,714 (240)
Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto +4 more
wiley +1 more source
Two solid pyrolysis models are employed in a concurrent-flow flame spread model to compare the flame structure and spreading characteristics. The first is a zeroth-order surface pyrolysis, and the second is a first-order in-depth pyrolysis.
Ya-Ting Tseng, James S. T'ien
doaj +1 more source
Combustion Characteristics of a Supersonic Combustor with a Large Cavity Length-to-Depth Ratio
The combustion characteristics of a hydrogen-fueled supersonic combustor featuring a large cavity length-to-depth ratio (i.e., 11) were examined by performing experimental trials while varying the fuel injector positions and equivalence ratios.
Xiang Li +7 more
doaj +1 more source
Unified Pressure and Field Response Across Distinct Charge‐Order Regimes in Ti‐Doped CsV3Sb5
We microscopically investigate the interplay between charge order and superconductivity in a kagome superconductor across regimes of long‐ and short‐range charge order. Hydrostatic‐pressure and magnetic‐field μSR$\mu{\rm SR}$ measurements reveal remarkably similar superconducting and normal‐state time‐reversal‐symmetry‐breaking responses in both ...
P. Kral +12 more
wiley +1 more source
A two-dimensional numerical model of opposed flow flame spread over thin solid fuel is formulated and modeled to study the effect of gas phase heat sink (a wire mesh placed parallel to the fuel surface) on the flame-spread rate and flame extinction.
Vinayak Malhotra +2 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
A series of experiments was designed to investigate the effects of ceiling inclination on lateral flame spread over vertical poly(methyl methacrylate) (PMMA) surface.
Fei Peng +3 more
doaj +1 more source
Flame front analysis of ethanol, butanol, iso-octane and gasoline in a spark-ignition engine using laser tomography and integral length scale measurements [PDF]
Direct-injection spark-ignition engines have become popular due to their flexibility in injection strategies and higher efficiency; however, the high-pressure in-cylinder injection process can alter the airflow field by momentum exchange, with different ...
Behringer, MK, Aleiferis, PG
core +1 more source
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae +13 more
wiley +1 more source
Flame Length Scaling of C2H4-Air Premixed Flames under Acoustic Forcing
An experimental study has been carried out to investigate the effects of inlet velocity, equivalence ratio, and acoustic forcing on flame lengths and flame center lengths in a dump combustor. A premixed gas of ethylene and air was supplied to a combustor
D. Hwang, K. Ahn, Y. Yoon
doaj

