Bayesian optimization-driven enhancement of the thermoelectric properties of polycrystalline III-V semiconductor thin films

• Published in: NPG Asia materials Vol. 16; no. 1; pp. 17 - 7
• Main Authors: Ishiyama, Takamitsu, Nozawa, Koki, Nishida, Takeshi, Suemasu, Takashi, Toko, Kaoru
• Format: Journal Article
• Language: English
• Published: Tokyo Nature Publishing Group 29.03.2024; Nature Portfolio
• Subjects: Artificial intelligence; Bayesian analysis; Deposition; Dopants; Effectiveness; Figure of merit; Gaussian process; Group III-V semiconductors; Optimization; Parameters; Semiconductors; Substrates; Thermoelectric materials; Thin films

Abstract Studying the properties of thermoelectric materials needs substantial effort owing to the interplay of the trade-off relationships among the influential parameters. In view of this issue, artificial intelligence has recently been used to investigate and optimize thermoelectric materials. He...