| 研究実績の概要 |
In semiconductors, there is a metal-insulator transition (MIT) as a function of doping concentration. We are using computer simulations to understand this transition. We investigated how wavefunction multifractality at the MIT affects the distribution of Kondo temperatures using large-scale simulations. This has implications for the temperature dependence of the magnetic susceptibility at the MIT (with S. Kettemann and T. Ohtsuki). The work (with T. Ohtsuki) on the adaption of the transfer matrix method for massively parallel supercomputers was published and reported at conferences in Korea, Germany and Japan. We continued to investigate the use of machine learning to analyse wavefunctions produced in the simulation of the doped semiconductor (with Y. Harashima, T. Mano and T. Ohtsuki).
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