Homogeneity of Supported Single‐Atom Active Sites Boosting the Selective Catalytic Transformations

Y Shi, Y Zhou, Y Lou, Z Chen, H Xiong… - Advanced …, 2022 - Wiley Online Library
Selective conversion of specific functional groups to desired products is highly important but
still challenging in industrial catalytic processes. The adsorption state of surface species is …

Crystal symmetry determination in electron diffraction using machine learning

K Kaufmann, C Zhu, AS Rosengarten, D Maryanovsky… - Science, 2020 - science.org
Electron backscatter diffraction (EBSD) is one of the primary tools for crystal structure
determination. However, this method requires human input to select potential phases for …

Quantitative comparison of three Ni-containing phases to the elevated-temperature properties of Al–Si piston alloys

Y Li, Y Yang, Y Wu, L Wang, X Liu - Materials Science and Engineering: A, 2010 - Elsevier
The different contributions of ɛ-Al3Ni, δ-Al3CuNi and γ-Al7Cu4Ni phases to the elevated-
temperature strength of Al–Si piston alloys were investigated in this paper. Four kinds of Al …

Phase formation in as-solidified and heat-treated Al–Si–Cu–Mg–Ni alloys: Thermodynamic assessment and experimental investigation for alloy design

AR Farkoosh, M Javidani, M Hoseini… - Journal of Alloys and …, 2013 - Elsevier
Thermodynamic simulations based on the CALPHAD method have been carried out to
assess the phase formation in Al–7Si–(0–1) Ni–0.5 Cu–0.35 Mg alloys (in wt.%) under …

[HTML][HTML] A novel Al-Si-Ni-Fe near-eutectic alloy for elevated temperature applications

Q Cai, C Fang, E Lordan, Y Wang, ITH Chang… - Scripta Materialia, 2023 - Elsevier
A novel near-eutectic Al-15.0 Si-4.1 Ni-1.9 Fe (wt%) alloy with a ternary eutectic reaction of
Liquid→ α-Al+ Si+ (Al, Si) 5 (Fe, Ni) was investigated. Eutectic Si and (Al, Si) 5 (Fe, Ni) …

Применение EBSD анализа в физическом материаловедении (обзор)

ВН Даниленко, СЮ Миронов, АН Беляков… - Заводская …, 2012 - elibrary.ru
Продемонстрирован высокий потенциал метода автоматического анализа картин
дифракции обратно рассеянных электронов (EBSD) для микроструктурного анализа …

Low-cycle fatigue properties and life prediction of Al-Si piston alloy at elevated temperature

M Wang, JC Pang, SX Li, ZF Zhang - Materials Science and Engineering: A, 2017 - Elsevier
The influences of temperature on the microstructure evolution, tensile properties, especially
low-cycle fatigue (LCF) behaviors and damage mechanisms of Al-Si piston alloy have been …

Efficient few-shot machine learning for classification of EBSD patterns

K Kaufmann, H Lane, X Liu, KS Vecchio - Scientific reports, 2021 - nature.com
Deep learning is quickly becoming a standard approach to solving a range of materials
science objectives, particularly in the field of computer vision. However, labeled datasets …

[HTML][HTML] Processability, microstructure and precipitation of a Zr-modified 2618 aluminium alloy fabricated by laser powder bed fusion

M Schuster, A De Luca, R Widmer, X Maeder… - Journal of Alloys and …, 2022 - Elsevier
Additive manufacturing offers the opportunity to produce complex geometries from novel
alloys with improved properties. Adapting conventional alloys to the process-specific …

[HTML][HTML] Die-cast multicomponent near-eutectic and hypoeutectic Al–Si–Ni–Fe–Mn alloys: Microstructures and mechanical properties

Q Cai, E Lordan, S Wang, G Liu, CL Mendis… - Materials Science and …, 2023 - Elsevier
Microstructures and mechanical properties of near-eutectic and hypoeutectic Al–Si–Ni–Fe–
Mn alloys were studied under as-cast condition. Near-eutectic 78Al15Si4Ni2. 5Fe0. 5Mn …