A5056210648- Advanced Thermoelectric Materials and Devices
- Thermal properties of materials
- Thermal Radiation and Cooling Technologies
- Machine Learning in Materials Science
- Advanced Semiconductor Detectors and Materials
- Glioma Diagnosis and Treatment
- Heusler alloys: electronic and magnetic properties
- Cancer Immunotherapy and Biomarkers
- Perovskite Materials and Applications
- MXene and MAX Phase Materials
- Radiomics and Machine Learning in Medical Imaging
Sichuan University
2022-2025
Guangzhou University of Chinese Medicine
2022
High-energy-conversion Bi2Te3-based thermoelectric generators (TEGs) are needed to ensure that the assembled material has a high value of average figure merit (ZTave). However, inferior ZTave n-type leg severely restricts large-scale applications TEGs. In this study, we achieved and reported peak ZT (1.33) three-dimensional (3D)-printing Bi2Te2.7Se0.3. addition, superior 1.23 at temperature ranging from 300 500 K was achieved. The obtained by synergistically optimizing electronic-...
Thermoelectric (TE) energy conversion technology provides a promising way to improve the efficiency of fossil by generating electricity from low-grade waste heat. With regard these applications, thermoelectric generators (TEGs) should be designed system integration perspectives simultaneously heat transfer and simplification as well robust mechanical properties. However, typical TEGs fabricated conventional methods barely accomplish such requirements. Herein, high-quality were assembled...
Abstract Thermoelectric generators held great promise through energy harvesting from waste heat. Their practical application, however, is greatly constrained by poor raw material utilization and tedious processing in fabricating desired shapes. Herein, a state‐of‐the‐art process reported for 3D printing the half‐Heusler (Nb 0.88 Hf 0.12 FeSb) thermoelectric using laser powder bed fusion (LPBF). The multi‐dimensional intra‐ inter‐granular defects created this suppress thermal conductivity...
High tumor mutational burden (TMB) is an emerging biomarker of sensitivity to immune checkpoint inhibitors. In this study, we aimed determine the value magnetic resonance (MR)-based preoperative nomogram in predicting TMB status lower-grade glioma (LGG) patients.Overall survival (OS) data were derived from The Cancer Genome Atlas (TCGA) and then analyzed by using Kaplan-Meier method time-dependent receiver operating characteristic (tdROC) analysis. imaging (MRI) 168 subjects obtained Imaging...