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DeePore: A deep learning workflow for rapid and comprehensive characterization of porous materials
Rabbani, A

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DeePore: A deep learning workflow for rapid and comprehensive characterization of porous materials
Author :   Rabbani, A
Publisher :   Elsevier Ltd
Pub. Year  :   2020
Subjects :   Physical properties of porous media Pore network modeling Porous material dataset ...
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  • In The Name of God
  • Cover (1)
  • Abstract (2)
  • Table of Contents (6)
  • Chapter 1-Introduction (20)
  • Chapter 2-Literature review (29)
  • Chapter 3-Meshless methods (97)
  • Chapter 4-Formulation (154)
  • Chapter 5-HM examples (2) (205)
  • Chapter 6-Crack examples (265)
  • Chapter 7-HF examples (2) (293)
  • Chapter 8-Conclusions (314)
  • References (322)
  • AbstracE (333)
  • CoverE.pdf (334)
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