10 citations · 10 across the 4 of their papers we have counts for
4 papers · 1 filter
Compositionally tuned phase transformations enhance pyroelectric energy harvesting from low-grade heat
Ruiheng Geng, Ka Hung Chan, Xinyue Huang +6
Phase-transforming pyroelectric materials have emerged as promising candidates for low-grade thermal energy harvesting. However, whether first-order transformations with large pyro…
FerroAI: A Deep Learning Model for Predicting Phase Diagrams of Ferroelectric Materials
Chenbo Zhang, Xian Chen
Composition-temperature phase diagrams are crucial for designing ferroelectric materials, however predicting them accurately remains challenging due to limited phase transformation…
Energy conversion from heat to electricity by highly reversible phase-transforming ferroelectrics
Chenbo Zhang, Zhuohui Zeng, Zeyuan Zhu +2
Searching for performant multiferroic materials attracts general research interests in energy science as they have been increasingly exploited as the conversion media among thermal…
Data-driven approach for synchrotron X-ray Laue microdiffraction scan analysis
Yintao Song, Nobumichi Tamura, Chenbo Zhang +2
We propose a novel data-driven approach for analyzing synchrotron Laue X-ray microdiffraction scans based on machine learning algorithms. The basic architecture and major component…