Results 111 to 120 of about 11,356 (215)

Discovery of Novel Ferrites for Thermochemical H₂ Production Cycle via High-Throughput Thermodynamic Screening. [PDF]

Adv Sci (Weinh)
Lee D, Nam J, Park BG, Kim H, Jung IH, Jin H.   +5 more
europepmc   +1 more source

Free-energy perturbation in the exchange-correlation space accelerated by machine learning: application to silica polymorphs. [PDF]

NPJ Comput Mater
Forslund A, Jung JH, Ikeda Y, Grabowski B.   +3 more
europepmc   +1 more source

Unveiling the mechanisms of strength-ductility synergy in an additively manufactured nanolamellar high-entropy alloy. [PDF]

Nat Commun
Gao S, Ji W, Zhu Q, Jarlöv A, Bai X, Shen X, Liu Y, Nai MLS, Gao H, Zhou K.   +9 more
europepmc   +1 more source

Thermodynamics of Tl₂PrBr₅ Compound and Re-examination of Phase Equilibria in the PrBr₃-TlBr System. [PDF]

ACS Omega
Salamon-Baran B, Kapała J, Rycerz L, Szczygieł I.   +3 more
europepmc   +1 more source

Effects of Cooling Rate and Solid Fraction on α-Al Phase Evolution in Rheo-Die Casting: Phase-Field Simulation and Experimental Investigation. [PDF]

Materials (Basel)
Chen S, Kuang W, Feng J, Wang H, Zhang F, Li D.   +5 more
europepmc   +1 more source

Accelerated discovery of high-performance Al-Si-Mg-Sc casting alloys by integrating active learning with high-throughput CALPHAD calculations. [PDF]

Sci Technol Adv Mater, 2023
Gao J, Zhong J, Liu G, Zhang S, Zhang J, Liu Z, Song B, Zhang L.   +7 more
europepmc   +1 more source

On the rapid cooling cast solidification microstructures of Mg-Ca-Zn alloys. [PDF]

J Mater Sci
Xie Y, Anderson M, Utton C, Guan D, Murphy M, Basoalto H.   +5 more
europepmc   +1 more source

Effect of Ni Addition on the Solidification of Liquid Al and Solid Cu Diffusion Couples. [PDF]

Materials (Basel)
Hari V, McDonald SD, Tan XF, Nogita K.
europepmc   +1 more source

The role of allotropy on phase formation in high entropy alloys. [PDF]

Sci Rep
Kaufmann K, Wang H, Saini J, Vecchio KS.
europepmc   +1 more source

Accelerating ab initio melting property calculations with machine learning: application to the high entropy alloy TaVCrW. [PDF]

NPJ Comput Mater
Zhu LF, Körmann F, Chen Q, Selleby M, Neugebauer J, Grabowski B.   +5 more
europepmc   +1 more source