Results 111 to 120 of about 1,290,914 (304)
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Rapidly Solidified High‐Strength Invar 36 Prepared by Planar‐Flow Melt Spinning
The Invar 36 alloy was rapidly solidified using the planar‐flow melt‐spinning technique. Ribbon samples with thicknesses ranging from 20 to 160 mm were produced. As the grain size of the ribbon decreased to sub‐micron levels, the hardness increased by more than 2 times.
Bekir Akgül, Mehmet Kul
wiley +1 more source
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan +4 more
wiley +1 more source
A high interstital austenitic steel is additively manufactured and postdensified by HIP to eliminate gas porosity. Thereby, the loss of N and Mn in Ar HIP atmosphere is investigated. Further, HIP using N2 atmosphere is investigated which led to excessive nitride formation.
F. Großwendt +4 more
wiley +1 more source
The key role of nitric oxide in hypoxia: hypoxic vasodilation and energy supply-demand matching [PDF]
Significance: a mismatch between energy supply and demand induces tissue hypoxia with the potential to cause cell death and organ failure. Whenever arterial oxygen concentration is reduced, increases in blood flow - 'hypoxic vasodilation' - occur in an ...
Feelisch, Martin +3 more
core +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
This study addresses the mechanistic interplay among processing parameters, microstructure, and cracking behavior in LPBF of difficult-to-print nickel-based superalloy IN738LC. To this end, key process parameters were systematically varied.
Hamidreza Aghajani +8 more
doaj +1 more source
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park +12 more
wiley +1 more source
Nitrous oxide production and consumption by marine ammonia-oxidizing archaea under oxygen depletion
Ammonia-oxidizing archaea (AOA) are key players in the nitrogen cycle and among the most abundant microorganisms in the ocean, thriving even in oxygen-depleted ecosystems.
Elisa Hernández-Magaña, Beate Kraft
doaj +1 more source
Exploring the Chemical Space Accessed by Chiral Pool Terpenes. The (−)-Caryophyllene Oxide Paradigm
Terpenes represent a flourishing source of structural motifs that can be converted into several more complex architectures. Realization of such transformations in a concise and efficient manner adds great value to the starting material. Herein, we study the case of (-)-caryophyllene oxide and convert it into natural sesquiterpenoids (rumphellolide K ...
Theodora Athanasiadou +3 more
openaire +2 more sources

