Abstract
The potential distribution in a random conductor-insulator mixture is obtained here by numerically solving Laplace's equation on a lattice with arbitrary potential boundaries. A new algorithm is introduced for estimating the minimum insulation gap. The average breakdown voltage and the minimum gap for such lattices are estimated for different concentrations of conductors below percolation threshold. Detailed computer-simulation studies in two dimensions indicate that both the average breakdown voltage and the minimum gap variations near the percolation threshold are characterized by the same exponent, equal to the percolation correlation-length exponent.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
