Results 241 to 250 of about 10,465 (308)

Mg Alloys Reduce Gastric Cancer and Mediate Therapeutic Management of Antibacterial Function. [PDF]

J Funct Biomater
Wu Y, Lu X, Wang Y, Liu G, Yang B.
europepmc   +1 more source

Combinatorial Nb‐Doped TiO2 Wafers: Phase‐Defect Coengineering for Efficient and Reusable Photocatalysis

Advanced Energy and Sustainability Research, EarlyView.
Combinatorial Nb‐doped TiO2 wafers with a lateral dopant gradient enable rapid mapping of how phase composition and defects influence photocatalytic activity. Optimized Nb content generates mixed anatase–rutile phases together with beneficial Ti3+ and oxygen vacancy defects, boosting dye‐degradation efficiency fivefold.
Raja Elrahoumi, Dinushi Munasingha Mudiyanselage, Amar Salih, Matthew Arnold, Angus Gentle, Estelle Wagner, William Maudez, Sanaa A. Alzahrani, Matthew R. Phillips, Giacomo Benvenuti, Cuong Ton‐That   +10 more
wiley   +1 more source

Technological Alloying Impact on Formation of Phase Composition of Al-Fe-Si-X Alloys. [PDF]

Materials (Basel)
Andreyachshenko V, Kunčická L.
europepmc   +1 more source

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

Agribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Excellent mechanical properties and corrosion resistance of Al-Ce-Zr alloys. [PDF]

Sci Rep
Qin G, Lv X, Li K, Yang Z, Sheng T, Zhang S, Wei X, Yu G, Yu J, Song R.   +9 more
europepmc   +1 more source

Effects of impurities and alloying elements on zirconium resistance in high-temperature water

, 1966
A. S. Zaimovskii, A. V. Nikulina
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Effect of 3 wt% Cu on the Microstructure and Hardness of a Ti-10Ta-1.6Zr Alloy. [PDF]

Materials (Basel)
Hashe NG, Fowler L, Norgren S, Cornish LA, Chown LH, Goosen WE, Westraadt JE, Hadebe NDE, Öhman-Mägi C.   +8 more
europepmc   +1 more source

Influence of Zr on Al-Ti-B-Based Grain Refiners in AlSiMgCuZr Alloy. [PDF]

Materials (Basel)
Kapinos D, Augustyn B, Boczkal S, Limanówka K, Płonka B, Garbacz-Klempka A, Piękoś M, Kozana J.   +7 more
europepmc   +1 more source

Microstructure and First Hydrogenation Properties of Zr_1-xTi_xCr₂ Alloys Where x = 0, 0.25, 0.5, 0.75, and 1. [PDF]

Molecules
Bakhtiari T, Sleiman S, Huot J.
europepmc   +1 more source