Results 101 to 110 of about 1,688,080 (248)
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Investigating Formation of Intermetallics in Compound Casting of Al/Cu Bimetals
The purpose of this article is to study the formation of intermetallic compounds (IMCs) at the interface of Al/Cu bimetal produced by compound casting of molten Al in solid copper tubes.
S. Tavassoli, M. Abbasi, R. Tahavvori
doaj +2 more sources
Potentiodynamic polarization curves and polarization resistance measurements were used to study the hot corrosion behavior of two intermetallic compounds, i.e., FeAl and Fe3Al with minor additions of Ni, Ce and Li exposed in a NaVO3 salt at 700°C.
A. Luna-Ramirez +5 more
doaj +1 more source
Alloys and Intermetallic Compounds
This book focuses on the role of modeling in the design of alloys and intermetallic compounds. It includes an introduction to the most important and most used modeling techniques, such as CALPHAD and ab-initio methods, as well as a section devoted to the latest developments in applications of alloys. The book emphasizes the correlation between modeling
openaire +2 more sources
Tabulation, bibliography, and structure of binary intermetallic compounds. II. Compounds of berylium, magnesium, and calcium [PDF]
This is a tabulation, bibliography, and structure of binary intermetallic compounds, including those of berylium, magnesium, and calcium. This report is the second in a series.
Beerntsen, D. +4 more
core
Special Issue “Intermetallic Compound”
This Special Issue collects ten articles related to the broadly understood physical properties of intermetallic compounds [...
Jacek Ćwik
core +1 more source
Broadening Hard‐Magnet Discovery Beyond Symmetry Constraints via Unified Effective Anisotropy
A unified effective‐anisotropy descriptor (Keff) extends hard‐magnet screening across all seven crystal systems, beyond the uniaxial restriction of conventional searches. Machine‐learning screening of 9320 known ferromagnets and diffusion‐model generation together yield 38 rare‐earth‐free or ‐lean candidates with DFT‐validated magnetic hardness (κ > 1),
Hojae Kim +5 more
wiley +1 more source
Effects of Main Alloying Elements on Interface Reaction between Tool Steel and Molten Aluminum [PDF]
Effects of Si and Mg as main elements on interface reaction between tool steel and molten Al alloy at 700°C were investigated. Pure aluminum and Al-10mass%Mg alloy showed relatively simple interfacial layers, whereas thicker, multi-layered reaction bonds
Young-Ok Yoon +5 more
doaj +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
A Sn3Ag–CoSn3 composite copper pillar bump for three-dimensional packaging
Copper pillar bumps are widely utilized in advanced packaging technologies, representing a crucial foundation for 3D packaging. However, the mechanical properties of Sn3Ag bumps on copper columns often fall short of meeting increasingly demanding service
JinTao Wang +10 more
doaj +1 more source

