• Journal of Inorganic Materials
  • Vol. 38, Issue 3, 256 (2023)
Kunfeng CHEN1, Qianyu HU1, Feng LIU2, and Dongfeng XUE2、*
Author Affiliations
  • 11. State Key Laboratory of Crystal Materials, Institute of Novel Semiconductors, Shandong University, Jinan 250100, China
  • 22. Multiscale Crystal Materials Research Center, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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    DOI: 10.15541/jim20220647 Cite this Article
    Kunfeng CHEN, Qianyu HU, Feng LIU, Dongfeng XUE. Multi-scale Crystallization Materials: Advances in in-situ Characterization Techniques and Computational Simulations [J]. Journal of Inorganic Materials, 2023, 38(3): 256 Copy Citation Text show less
    Picture of Ce: LYSO scintillation crystals prepared by innovative fast crystal lifting growth technique based on the chemical bonding theory of crystalline growth[9]
    1. Picture of Ce: LYSO scintillation crystals prepared by innovative fast crystal lifting growth technique based on the chemical bonding theory of crystalline growth[9]
    In-situ optical microscope crystallization images of KDP growth
    2. In-situ optical microscope crystallization images of KDP growth
    Crystallization spectrum of hydrated calcium carbonate[31]
    3. Crystallization spectrum of hydrated calcium carbonate[31]
    Raman spectra and microstructure evolution of LCB crystal growth
    4. Raman spectra and microstructure evolution of LCB crystal growth
    Energy dispersive X-ray diffraction patterns of melamine at different pressures[55]
    5. Energy dispersive X-ray diffraction patterns of melamine at different pressures[55]
    Time-resolved WAXS and SAXS data of ACC crystallization[65]
    6. Time-resolved WAXS and SAXS data of ACC crystallization[65]
    Based on artificial intelligence, the average prediction time of the growth furnace state reaching 0.0003 s[78]
    7. Based on artificial intelligence, the average prediction time of the growth furnace state reaching 0.0003 s[78]
    Time and space dimensions of multi-scale calculation method for materials[79]
    8. Time and space dimensions of multi-scale calculation method for materials[79]
    Lithium niobate structure, defects and formation energy of different point defects as a function of Fermi energy[82]
    9. Lithium niobate structure, defects and formation energy of different point defects as a function of Fermi energy[82]
    Atomic structure (left) and electron localization functions (right) of CaH6[83]
    10. Atomic structure (left) and electron localization functions (right) of CaH6[83]
    Displacement of atoms in the interface layer during energy minimization[92]
    11. Displacement of atoms in the interface layer during energy minimization[92]
    Variation of crystal growth rate V⊥with temperature[93]
    12. Variation of crystal growth rate Vwith temperature[93]
    Structural snapshots and relationship between energy and GSW of the optimal route for C60 dimer binding by the path search method[94]
    13. Structural snapshots and relationship between energy and GSW of the optimal route for C60 dimer binding by the path search method[94]
    Phase-field simulation of the solidification of Al-1% Cu alloy at a cooling rate of 0.1 K/s[97]
    14. Phase-field simulation of the solidification of Al-1% Cu alloy at a cooling rate of 0.1 K/s[97]
    Kunfeng CHEN, Qianyu HU, Feng LIU, Dongfeng XUE. Multi-scale Crystallization Materials: Advances in in-situ Characterization Techniques and Computational Simulations [J]. Journal of Inorganic Materials, 2023, 38(3): 256
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