Results 221 to 230 of about 2,296,565 (295)

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Rapid new particle formation driven by methanesulfonic acid and amines.

Environ Sci Atmos
Klebach H, Caudillo-Plath L, Heinritzi M, Russell DM, Rörup B, Baalbaki R, Shen J, Sommer E, Kürten A, Alfaouri D, Almeida J, Amorim A, Beck LJ, Beckmann H, Berntheusel M, Christoudias T, Dada L, DeVivo J, Donahue N, Duplissy J, El Haddad I, Hansel A, Harder H, He XC, Kulmala M, Kunkler F, Lehtipalo K, Liu L, Mentler B, Petäjä T, Rato P, Richter S, Schobesberger S, Scholz W, Simon M, Thakur RC, Tomé A, Tong Y, Top J, Volkamer R, Winkler PM, Yang B, Zauner-Wieczorek M, Zhang J, Kirkby J, Curtius J.   +45 more
europepmc   +1 more source

Hybrid deep reconstruction for vignetting-free upconversion imaging through scattering in epsilon-near-zero materials. [PDF]

Light Sci Appl
Zhang H, Xu Y, Zhang W, Choudhary S, Alam MZ, Nguyen LD, Klein M, Vangala S, Miller JK, Johnson EG, Hendrickson JR, Boyd RW, Carbajo S.   +12 more
europepmc   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Predictive modelling and experimental analysis of radiation-resistant MXene-silicon heterojunction solar cells. [PDF]

Discov Nano
Jayan K D, H I E, Prasad S K, Syum GG.
europepmc   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Sn-Driven Grain Boundary Elimination for Single-Crystalline Ni-Rich Cathodes with Superior High-Voltage Stability in Lithium-Ion Batteries. [PDF]

Adv Sci (Weinh)
Xie G, Qian D, Li R, Liu TX, Lu S.
europepmc   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

Advanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar, Akash Vyas, Mohammad Aatif Qazi, Nashit Jalal, Maria Ophelia Jarligo, Mostafa Yakout, Jing Liu, André McDonald   +7 more
wiley   +1 more source

Non-degenerate Pumping of Superconducting Resonator Parametric Amplifier with Evidence of Phase-Sensitive Amplification. [PDF]

J Low Temp Phys
Zhao S, Withington S, Thomas CN.
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source