Recognition of supercritical CO2 liquid-like and gas-like molecules based on deep neural network

被引:2
|
作者
Du, Yuntao [1 ]
Liao, Gaoliang [1 ]
Zhang, Feng [1 ]
Jiaqiang, E. [1 ]
Chen, Jingwei [1 ]
机构
[1] Hunan Univ, Coll Mech & Vehicle Engn, Changsha 410082, Peoples R China
来源
关键词
SupercriticalCO2; Molecular dynamics simulation; Widom line; Deep neural network; Voronoi tessellation; WIDOM-LINE; DYNAMICS SIMULATION; CROSSOVER;
D O I
10.1016/j.supflu.2023.106164
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
So far, it is still controversial about how to divide the liquid-like and gas -like states boundary and Widom delta, since the deviation of boundaries determined by different thermodynamic criteria increases significantly when away from the critical point. For this reason, a superior method that does not rely on thermodynamic criteria to define the boundary line between liquid-like and gas -like states needs to be proposed urgently and the recent extensive use of deep neural networks in molecular dynamics simulation provides a feasible choice. The present work attempts to determine a novel phase state boundary and Widom delta of supercritical CO2 from extracting the microstructure features of subcritical vapor and liquid states in equilibrium by deep neural network coupled with molecular dynamics simulation. In addition, visualization of simulated systems containing distinct liquidlike molecule ratio pi LL of supercritical CO2 is also presented as well as the radial distribution function at different states. The results show that the novel boundary is located in the middle of the Widom lines constructed by multiple thermodynamic criteria. The lower boundary T- of the novel Widom delta agrees well with the theoretical boundary constructed by pseudo -boiling theory when it is close to the critical point but starts to deviate when it is far away from the critical point, while the upper boundary T+ of that is opposite. More importantly, the novel boundary and Widom delta constructed have no pressure upper limit compared to those constructed by thermodynamic criteria, only depending on pi LL, which means that the novel boundary and Widom delta can extend to the supercritical deep region. Further, the visualization and radial distribution function of simulated systems of supercritical CO2 at different states provide the persistence of a liquid -like and a gas -like transition. The work conducted here can present novel microscopic insight into supercritical phase transition and provide another available alternative to define the Widom line.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Self assembly of small molecules and macromolecules in compressible liquid and supercritical Co2
    DeSimone, JM
    Folk, SL
    Polley, JD
    Adam, M
    Rubinstein, M
    Andre, P
    Keiper, JS
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2002, 224 : U313 - U314
  • [42] Novel design of liquid-like nanoparticle organic hybrid materials with tunable chemical and structural properties for CO2 capture and conversion
    Park, Ah-Hyung
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 252
  • [43] Supercritical CO2 encapsulation of bioactive molecules in carboxylate based MOFs
    Monteagudo-Olivan, Rebeca
    Jose Cocero, Maria
    Coronas, Joaquin
    Rodriguez-Rojo, Soraya
    JOURNAL OF CO2 UTILIZATION, 2019, 30 : 38 - 47
  • [44] A Prediction for Breakdown Voltages in Supercritical CO2 Using Artificial Neural Network
    Zhang, C. H.
    Zhu, J. D.
    Yang, Z. B.
    Jiang, B. H.
    25TH INTERNATIONAL SYMPOSIUM ON DISCHARGES AND ELECTRICAL INSULATION IN VACUUM (ISDEIV 2012), 2012, : 409 - 412
  • [45] A prediction for breakdown voltages in supercritical CO2 using artificial neural network
    Zhang, Chaohai
    Ji, Chunguang
    Liu, Zhen
    Kiyan, Tsuyoshi
    Akiyama, Hidenori
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2007, 14 : 73 - 80
  • [46] Novel liquid-like nano-scale hybrid materials with tunable chemical and structural properties for combined CO2 capture and conversion
    Park, Ah-Hyung
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 253
  • [47] Prediction of heat transfer characteristics for supercritical CO2 based on GA-BP neural network
    Yan J.
    Zheng S.
    Guo P.
    Zhang B.
    Mao Z.
    Huagong Xuebao/CIESC Journal, 2021, 72 (09): : 4649 - 4657
  • [48] EmoP3D: A Brain Like Pyramidal Deep Neural Network for Emotion Recognition
    Di Nardo, Emanuel
    Petrosino, Alfredo
    Ullah, Ihsan
    COMPUTER VISION - ECCV 2018 WORKSHOPS, PT III, 2019, 11131 : 607 - 616
  • [49] Analysis of Supercritical CO2 Cycle Using Zigzag Channel Pre-Cooler: A Design Optimization Study Based on Deep Neural Network
    Saeed, Muhammed
    Berrouk, Abdallah S.
    Singh, Munendra Pal
    Alawadhi, Khaled
    Siddiqui, Muhammad Salman
    ENERGIES, 2021, 14 (19)
  • [50] Thickening supercritical CO2 at high temperatures with rod-like reverse micelles
    Sagisaka, Masanobu
    Sato, Yuuki
    Kiani, Sajad
    Alexander, Shirin
    Ardyani, Tretya
    Mohamed, Azmi
    Enick, Robert M.
    Rogers, Sarah E.
    Hill, Christopher
    Eastoe, Julian
    COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS, 2024, 686