Results 121 to 130 of about 5,769 (231)

Atomic-scale Observations of Phase Transformation in Nano-sized Materials: Deviations from Bulk Behaviors

, 2010
1
오상호
core  

Establishing the Temperature-Dependent Synthesis Window of β‑TaON by Coupling Predictive Thermodynamic Modeling with Experimental Validation. [PDF]

Chem Mater
Gilbert Prince A, Gao Y, LaBelle D, Wenderott JK, Hu YJ.   +4 more
europepmc   +1 more source

Calphad. Meeting programme and abstracts

, 1996
Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7, Rome / CNR - Consiglio Nazionale delle ...
Centro di Cultura Scientifica Ettore Majorana, Erice (Italy), Cacciamani, G. (eds.), Ferro, R., Geneve Univ. (Italy). Dipartimento di Chimica e Chimica Industriale   +3 more
core  

Fe₅Cu₅V₃₀Ti₃₀Nb₃₀ High-Entropy Alloy Films as Cr- and Al-Free Sensing Layers for Thin-Film Strain Gauges in High-Pressure Hydrogen. [PDF]

Materials (Basel)
Zhang W, Zhang K, Zhou C, Zhang L.
europepmc   +1 more source

Physics-Guided Decision-Support Framework for Melt Pool Prediction and Process Stability in Laser Powder Bed Fusion of Nitinol. [PDF]

Materials (Basel)
Rangaswamy S, Doğu MN, Rubio C, Gu H, Khan AK, Teng C, Ahad IU, Brabazon D.   +7 more
europepmc   +1 more source

Development Status of Fe-V-Based High-Entropy Alloys for Nuclear Reactors. [PDF]

Materials (Basel)
Wu H, Fu Y, Liu P, Wang T, Han W, Yi X, Zhan Q, Wan F.   +7 more
europepmc   +1 more source

Experimental study and thermodynamic modelling of the Nb-Sb system. [PDF]

RSC Adv
Brož P, Vřešťál J, Romaka V, Yan X, Buršík J, Fabrichnaya O, Kriegel M, Rogl P.   +7 more
europepmc   +1 more source

Thermodynamic Assessment of CaO-Al₂O₃-Fe₂O₃ System. [PDF]

Materials (Basel)
Zhao W, Ye L, Wu J, Chen H, Zhang L, Liu L.   +5 more
europepmc   +1 more source

Machine learning driven discovery of low modulus biomedical titanium alloys for additive manufacturing. [PDF]

Nat Commun
Su J, Jiang F, Wu J, Li Y, Han R, Wang L, Wong RCW, Wang J, Sing SL.   +8 more
europepmc   +1 more source

Machine Learning-Based Prediction of Stacking Fault Energy in High-Manganese Steels: A Comparative Study of Ensemble and Kernel Methods. [PDF]

Materials (Basel)
Tiwari S, Heo SJ, Park N.
europepmc   +1 more source