Results 191 to 200 of about 18,258 (268)

Transverse-Electric Cherenkov Radiation for TeV-Scale Particle Detection. [PDF]

Adv Sci (Weinh)
Xie Z, Lin X, Zhu S, Huang C, Luo Y, Hu H.   +5 more
europepmc   +1 more source

Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing

Advanced Engineering Materials, EarlyView.
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu, Xun Zhang, Jack M. Donoghue, Albert D. Smith, Rahul Unnikrishnan, Rhys Thomas, Vahid Nekouie, Jie Luo, Dongchen Hu, Michael Preuss, Philip J. Withers   +10 more
wiley   +1 more source

A cost-effective 200 kV cryo-EM core facility for high resolution single particle analysis. [PDF]

Methods Microsc
Gauvin CC, Findlay JL, Hophan-Nichols C, Lawrence CM.   +3 more
europepmc   +1 more source

Performance Analysis of Abradable Coating Systems for Aircraft Gas Turbines

Advanced Engineering Materials, EarlyView.
Three CoNiCrAlY/YSZ/MgAl2O4 abradable liner configurations on a nickel‐superalloy are evaluated by thermal‐gradient cycling and incursion tests. Laser ablation of the bondcoat and/or Y2O3‐stabilized ZrO2 (YSZ) intermediate layer increases mechanical interlocking and bonding for thick topcoats.
Hanna Heyl, Daniel Emil Mack, Martin Tandler, Susanne Schrüfer, Robert Vaßen   +4 more
wiley   +1 more source

Performance Bounds of Ranging Precision in SPAD-Based dToF LiDAR. [PDF]

Sensors (Basel)
Wu H, Wang Y, Sun S, Zhao L, Tong L, Shen L, Zhu J.   +6 more
europepmc   +1 more source

Time‐Dependent Oxidation and Scale Evolution of a Wrought Co/Ni‐Based Superalloy

Advanced Engineering Materials, EarlyView.
This study shows how a new wrought Co/Ni‐based superalloy resists oxidation at 800 ∘$^\circ$C. The oxide scale changes from rough, fast‐growing spinel to a dense, protective chromia–alumina layer. Atom probe analysis reveals tiny refractory‐rich bubbles at the interface that mark the transition to long‐term, diffusion‐controlled protection ...
Cameron Crabb, Zachary T. Kloenne, Samuel R. Rogers, Chi Hang Dominik Kwok, Mark C. Hardy, Michele S. Conroy, David Dye   +6 more
wiley   +1 more source

High-quality ultra-fast total scattering and pair distribution function data using an X-ray free-electron laser. [PDF]

IUCrJ
Sapnik AF, Chater PA, Keeble DS, Evans JSO, Bertolotti F, Guagliardi A, Støckler LJ, Harbourne EA, Borup AB, Silberg RS, Descamps A, Prescher C, Klee BD, Phelipeau A, Ullah I, Medina KG, Bird TA, Kaznelson V, Lynn W, Goodwin AL, Iversen BB, Crepisson C, Bozin ES, Jensen KMØ, McBride EE, Neder RB, Robinson I, Wark JS, Andrzejewski M, Boesenberg U, Brambrink E, Camarda C, Cerantola V, Goede S, Höppner H, Humphries OS, Konopkova Z, Kujala N, Michelat T, Nakatsutsumi M, Pelka A, Preston TR, Randolph L, Roeper M, Schmidt A, Strohm C, Tang M, Talkovski P, Zastrau U, Appel K, Keen DA.   +50 more
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Measurement of Percentage Depth-Dose Distributions in Clinical Dosimetry: Conventional Techniques and Emerging Sensor Technologies. [PDF]

Sensors (Basel)
Petringa G, Raffaele L, Cuttone G, Guarrera M, Kurmanova A, Catalano R, Cirrone GAP.   +6 more
europepmc   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source