Results 171 to 180 of about 472 (202)

Tuning Cation Disorder in LiNi0.5Mn1.5O4 via Room Temperature Continuous‐Flow Co‐Precipitation and Controlled Heat Treatment

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
LiNi0.5Mn1.5O4 (LNMO) precursors were produced at room temperature by Ambient Continuous Turbulent In‐line Mixing (ACTIM) at rates of up to 0.42 kg h−1. The final heat treatment step at 650, 700, or 750 °C, altered cation disorder and the electrochemical behavior of the LNMO cathodes, while the effect of adding MWCNTs to the electrodes, was also ...
Bangxun Yin, Jack J. Quayle, Jiacheng Wang, David Wilde, Ivan P. Parkin, Jawwad A. Darr   +5 more
wiley   +1 more source

Interface Engineering in Piezoelectric‐on‐Insulator Platforms: Coupling of Electrons, Photons, and Phonons for Multifunctional Integration

Electron, EarlyView.
The underlying interface physics and engineering strategies across key POI material systems, including LiNbO3/Si, LiNbO3/SiC, LiNbO3/diamond, and AlN/diamond, were reviewed. The key engineering strategies such as atomic‐scale bonding optimization, nanostructuring, ultrathin phonon‐bridge interlayers, and ferroelectric domain wall engineering for ...
Yunjia Bao, Zhiqiang Wang, Rongbang Yang, Gongbin Tang, Ruiqiang Guo, Kunfeng Chen, Wen Hu   +6 more
wiley   +1 more source

Mapping Neuroanatomical Heterogeneity of Brain Aging Within a Clinically Defined Aging Reference Cohort. [PDF]

Bioengineering (Basel)
Li Y, Gao H, Lin L, Xiong M.
europepmc   +1 more source

Seismic Performance of Reduced‐Strength Steel MRFs With SMA‐Based Superelastic Friction Dampers: An Experimental Investigation

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Shape memory alloys (SMAs) exhibit excellent self‐centering capability due to their stress‐induced phase transformation, making them highly suitable for applications in resilient infrastructure. This study investigates the seismic performance of reduced‐strength moment‐resisting frames (MRFs) equipped with SMA‐based superelastic friction ...
Faisal Nissar Malik, Liang Cao, James Ricles, Fei Shi, Chinmoy Kolay, Osman E. Ozbulut   +5 more
wiley   +1 more source

Interpretable Machine Learning of Nanoparticle Stability through Topological Layer Embeddings. [PDF]

J Phys Chem A
Hawthorne F, Seixas L, Almeida JM, Woellner CF, Tromer RM.   +4 more
europepmc   +1 more source

Turbulence‐Intensity Effects on the Aerodynamic Performance of an H‐Type Darrieus Wind Turbine: A URANS Parametric Study

Energy Science &Engineering, EarlyView.
Turbulence intensity from 1% to 25% was parametrically tested on a three‐bladed H‐type Darrieus rotor across five tip speed ratios (TSRs) using two‐dimensional URANS. The optimal TSR proved the most efficient and most robust operating point simultaneously, with Cp losses capped at 5.8% even at TI = 25%. ABSTRACT The effect of inlet turbulence intensity
Aydin Ulus
wiley   +1 more source

Screw dislocation in a Rashba spin-orbit coupled α - T 3 Aharonov-Bohm quantum ring. [PDF]

Sci Rep
Islam M, Basu S.
europepmc   +1 more source

Machine Learning Modeling of Drill Cuttings Transport Based on Computational Fluid Dynamics Simulation Data

Energy Science &Engineering, EarlyView.
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder, Mostafa M. Abdelhafiz, Khizar Shahid, Gunther Brenner   +3 more
wiley   +1 more source

Some Open Mathematical Problems on Fullerenes. [PDF]

J Chem Inf Model
Bille A, Buchstaber V, Spodarev E.
europepmc   +1 more source

Bayesian semi-parametric approaches to normal/independent and elliptical distributions. [PDF]

J Appl Stat
Sillero-Denamiel MR, Marín JM, Ramírez-Cobo P, Ruggeri F, Wiper MP.   +4 more
europepmc   +1 more source