Litcius/Paper detail

Machine learning-assisted ultrafast flash sintering of high-performance and flexible silver–selenide thermoelectric devices

Mortaza Saeidi‐Javash, Ke Wang, Minxiang Zeng, Tengfei Luo, Alexander W. Dowling, Yanliang Zhang

2022Energy & Environmental Science67 citationsDOIOpen Access PDF

Abstract

The first machine learning-assisted ultrafast flash sintering of flexible silver–selenide TE devices. Bayesian optimization of flash sintering variables led to a PF of 2205 μW m −1 K −2 and a zT of 1.1 at room temperature realized with a sintering time less than 1.0 second.

Topics & Concepts

SinteringSelenideFlash (photography)Materials scienceUltrashort pulseThermoelectric effectOptoelectronicsBayesian optimizationMetallurgyComposite materialComputer scienceOpticsArtificial intelligenceThermodynamicsLaserPhysicsSeleniumAdvanced Thermoelectric Materials and DevicesMachine Learning in Materials ScienceThermal properties of materials