Self-Catalytic Ternary Compounds for Efficient Synthesis of High-Quality Boron Nitride Nanotubes.
Sign Up to like & getrecommendations! Published in 2023 at "Small"
DOI: 10.1002/smll.202206933
Abstract: The large-scale synthesis of high-quality boron nitride nanotubes (BNNTs) has attracted considerable interests due to their applications in nanocomposites, thermal management, and so on. Despite decades of development, efficient preparation of high-quality BNNTs, which relies… read more here.
Keywords: quality; quality bnnts; synthesis high; high quality ... See more keywords
Al–Fe–Ge: New ternary compounds and phase equilibria at 800 °C
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Alloys and Compounds"
DOI: 10.1016/j.jallcom.2018.05.214
Abstract: Abstract The isothermal sections of Al-Fe-Ge at 800 °C and 780 °C were studied by a combination of SEM/EDX with X-ray powder diffraction. Two new ternary compounds were structurally characterised by means of single-crystal XRD measurements: Al3-xFeGe2+x,… read more here.
Keywords: compounds phase; phase equilibria; ternary compounds; equilibria 800 ... See more keywords
Machine Learning-Guided Discovery of Ternary Compounds Containing La, P, and Group 14 Elements.
Sign Up to like & getrecommendations! Published in 2022 at "Inorganic chemistry"
DOI: 10.1021/acs.inorgchem.2c02431
Abstract: We integrate a deep machine learning (ML) method with first-principles calculations to efficiently search for the energetically favorable ternary compounds. Using La-Si-P as a prototype system, we demonstrate that ML-guided first-principles calculations can efficiently explore… read more here.
Keywords: machine learning; discovery; ternary compounds; group elements ... See more keywords
Discovery of metastable P–Si–Sn ternary compounds aided by machine learning
Sign Up to like & getrecommendations! Published in 2025 at "Physica Scripta"
DOI: 10.1088/1402-4896/adfca8
Abstract: The crystalline structures of energetically favorable P–Si–Sn ternary compounds containing two group 14 elements Si and Sn are explored using a combined machine learning approach and first-principles calculations. While no binary Si-Sn compounds have been… read more here.
Keywords: ternary compounds; metastable ternary; machine learning; discovery metastable ... See more keywords
Topological Dirac surface states in ternary compounds GeBi2Te4, SnBi2Te4 and Sn0.571Bi2.286Se4
Sign Up to like & getrecommendations! Published in 2021 at "Chinese Physics B"
DOI: 10.1088/1674-1056/ac2b92
Abstract: Using high-resolution angle-resolved and time-resolved photoemission spectroscopy, we have studied the low-energy band structures in occupied and unoccupied states of three ternary compounds GeBi2Te4, SnBi2Te4 and Sn0.571Bi2.286Se4 near the Fermi level. In previously confirmed topological… read more here.
Keywords: dirac surface; ternary compounds; compounds gebi2te4; sn0 571bi2 ... See more keywords
Prediction of the fundamental properties of novel Be-B-Ta-based ternary compounds from first-principles calculations
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review Materials"
DOI: 10.1103/physrevmaterials.3.084804
Abstract: Be-B/B-Ta based compounds are very attractive to researchers because of their high density and ultra-hardness. But ternary Be-B-Ta compounds are neither synthesized nor predicted. In this paper, variable composition evolutionary crystal structure prediction calculations based… read more here.
Keywords: fundamental properties; first principles; properties novel; novel based ... See more keywords
Machine learning accelerated prediction of Ce-based ternary compounds involving antagonistic pairs
Sign Up to like & getrecommendations! Published in 2024 at "Physical Review Materials"
DOI: 10.1103/physrevmaterials.9.053803
Abstract: The discovery of novel quantum materials within ternary phase spaces containing antagonistic pairs such as Fe with Bi, Pb, In, and Ag, presents significant challenges yet holds great potential. In this work, we investigate the… read more here.
Keywords: accelerated prediction; antagonistic pairs; ternary compounds; learning accelerated ... See more keywords