Resha** the material research paradigm of electrochemical energy storage and conversion by machine learning
H Yang, Z He, M Zhang, X Tan, K Sun, H Liu, N Wang… - …, 2023 - Wiley Online Library
Abstract For a “Carbon Neutrality” society, electrochemical energy storage and conversion
(EESC) devices are urgently needed to facilitate the smooth utilization of renewable and …
(EESC) devices are urgently needed to facilitate the smooth utilization of renewable and …
Unveiling thermal stresses in RETaO4 (RE= Nd, Sm, Eu, Gd, Tb, Dy, Ho and Er) by first-principles calculations and finite element simulations
Thermal stress (σ) plays a critical role in regulating the stability and durability of thermal
barrier coatings (TBCs) during service. However, its measurements are limited due to …
barrier coatings (TBCs) during service. However, its measurements are limited due to …
AI-driven inverse design of materials: Past, present and future
XQ Han, XD Wang, MY Xu, Z Feng, BW Yao… - Chinese Physics …, 2024 - iopscience.iop.org
The discovery of advanced materials is the cornerstone of human technological
development and progress. The structures of materials and their corresponding properties …
development and progress. The structures of materials and their corresponding properties …
Extraordinary thermoelectric performance, thermal stability and mechanical properties of n-type Mg3Sb1. 5Bi0. 5 through multi-dopants at interstitial site
Mg 3 Sb 2-based thermoelectric materials have attracted much interest since the discovery
of their excellent n-type thermoelectric performance with excess Mg content and proper …
of their excellent n-type thermoelectric performance with excess Mg content and proper …
Observation of ballistic-diffusive thermal transport in GaN transistors using thermoreflectance thermal imaging
To develop effective thermal management strategies for gallium-nitride (GaN) transistors, it
is essential to accurately predict the device junction temperature. Since the width of the heat …
is essential to accurately predict the device junction temperature. Since the width of the heat …
[PDF][PDF] Structure, magnetic and thermoelectric properties of high entropy selenides Bi0. 6Sb0. 6In0. 4Cr0. 4Se3
Introducing magnetic elements or nanoparticles into the thermoelectric matrix is of great
importance to regulate the thermoelectric performance and evaluate the magnetic …
importance to regulate the thermoelectric performance and evaluate the magnetic …
First principles calculations of the electronic configuration and photocatalytic performance of GaSe (Ga 2 SSe)/MoS 2 (MoSSe) heterojunctions
L Li, J Ren, J Li, X Guo, M Liu, X Lu - Journal of Materials Chemistry C, 2023 - pubs.rsc.org
The electronic structure and photocatalytic performance of GaSe/MoSSe and Ga2SSe/MoS2
heterojunctions are systematically investigated by means of first-principles calculations. The …
heterojunctions are systematically investigated by means of first-principles calculations. The …
Machine learning guided 3D printing of carbon microlattices with customized performance for supercapacitive energy storage
H Yang, L Fang, Z Yuan, X Teng, H Qin, Z He, Y Wan… - Carbon, 2023 - Elsevier
Abstract Three-dimensional (3D) printing has stood out as a reliable technology to construct
carbon microlattice electrodes for supercapacitors (SCs) in the field of custom areal …
carbon microlattice electrodes for supercapacitors (SCs) in the field of custom areal …
Prediction of sintered density of binary W (Mo) alloys using machine learning
Powder metallurgy is the optimal method for the consolidation and preparation of W (Mo)
alloys, which exhibit excellent application prospects at high temperatures. The properties of …
alloys, which exhibit excellent application prospects at high temperatures. The properties of …
Machine Learning Unveils the Physical Properties of Materials Driving Thermoelectric Generator Efficiency: The Case of Half-Heuslers
A Tukmakova, P Graziosi - ACS Applied Energy Materials, 2024 - ACS Publications
We report a machine learning (ML)-based approach allowing thermoelectric generator
(TEG) efficiency evaluation directly from five parameters: two physical properties─ carrier …
(TEG) efficiency evaluation directly from five parameters: two physical properties─ carrier …