Difference between revisions of "Part:BBa K4614001:Experience"
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Fig 9: Modified siliconization simulation based on catalytic efficiency of 5R5 | Fig 9: Modified siliconization simulation based on catalytic efficiency of 5R5 | ||
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In further improvements to the silicide module, we plan to optimize the sequence of the R5 peptide and use 5-R5 repeats instead. The catalytic ability of R5 mainly relies on the electrical properties of the surface of its constituent amino acids, so repeated sequences can improve its catalytic reaction efficiency to a certain extent. In the model, this manifests itself as an acceleration of the silicon growth rate in the catalytic center. According to simulation results, when the rate is doubled, the number of iterations required to achieve the same catalytic effect is reduced from 48 to 20. It can be seen that it is a very feasible idea to improve the catalytic efficiency of the system by increasing the catalytic ability of R5 peptide. | In further improvements to the silicide module, we plan to optimize the sequence of the R5 peptide and use 5-R5 repeats instead. The catalytic ability of R5 mainly relies on the electrical properties of the surface of its constituent amino acids, so repeated sequences can improve its catalytic reaction efficiency to a certain extent. In the model, this manifests itself as an acceleration of the silicon growth rate in the catalytic center. According to simulation results, when the rate is doubled, the number of iterations required to achieve the same catalytic effect is reduced from 48 to 20. It can be seen that it is a very feasible idea to improve the catalytic efficiency of the system by increasing the catalytic ability of R5 peptide. | ||
Revision as of 14:06, 5 October 2023
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Applications of BBa_K4614001
5R5 can improve catalytic efficiency
Fig 9: Modified siliconization simulation based on catalytic efficiency of 5R5
In further improvements to the silicide module, we plan to optimize the sequence of the R5 peptide and use 5-R5 repeats instead. The catalytic ability of R5 mainly relies on the electrical properties of the surface of its constituent amino acids, so repeated sequences can improve its catalytic reaction efficiency to a certain extent. In the model, this manifests itself as an acceleration of the silicon growth rate in the catalytic center. According to simulation results, when the rate is doubled, the number of iterations required to achieve the same catalytic effect is reduced from 48 to 20. It can be seen that it is a very feasible idea to improve the catalytic efficiency of the system by increasing the catalytic ability of R5 peptide.
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