10(3): 537-550 10-1154/tq machine learning and computational fluid dynamic approach to estimate phase composition of chemical vapor deposition boron carbide

HIGHLIGHTS

  • who: ( and colleagues from the Polytechnical University, Xi'an, China have published the research: 10(3): 537-550 10-1154/TQ Machine learning and computational fluid dynamic approach to estimate phase composition of chemical vapor deposition boron carbide, in the Journal: (JOURNAL)
  • what: In this work a novel approach to identify the kinetic mechanisms for the deposit composition is presented.
  • how: This result was consistent with the main reaction BCl3 + H2 →BHCl2 + HCl.

SUMMARY

     low thermal expansion coefficient, high chemical resistance, and high strength. A novel approach that considers . . .

     

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