Nucleation and growth of cholesteric collagen tactoids: A time-series statistical analysis based on integration of direct numerical simulation (DNS) and long short-term memory recurrent neural network (LSTM-RNN).

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作者： Sayyed Ahmad,Khadem ^[1] ; Alejandro D,Rey ^[2]

作者单位： Department of Chemical Engineering, McGill University, Montreal, Quebec H3A 2B2, Canada; Quebec Centre for Advanced Materials, Canada (QCAM/CQMF), Montreal, Quebec H3A 2K6, Canada. ^[1] Department of Chemical Engineering, McGill University, Montreal, Quebec H3A 2B2, Canada; Quebec Centre for Advanced Materials, Canada (QCAM/CQMF), Montreal, Quebec H3A 2K6, Canada. Electronic address: alejandro.rey@mcgill.ca. ^[2]

关键词 Biological chiral lyotropic liquid crystals Biomimetic collagen-based biomaterials Chiral nematic tactoids Cholesteric nucleation Growth and coarsening Liquid-crystalline self-assembly Long Short-Term Memory Recurrent Neural Network Symbolic Regression Time-dependent Ginzburg-Landau model Universal growth laws Uphill diffusion

DOI 10.1016/j.jcis.2020.08.052

PMID 32916578

发布时间 2020-11-23

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