Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Mechanical energy harvesting based on the piezoelectric materials: recent advances and future perspectives
Against the backdrop of growing global energy demand, the drive to obtain sustainable
energy from ambient mechanical sources has become increasingly significant. In recent …
energy from ambient mechanical sources has become increasingly significant. In recent …
A systematic review of recent advances in piezocatalysis–Synergetic heterojunctions for organic pollutants removal, immobilization, and scope of machine learning …
Piezocatalysis is an emerging advanced oxidation process (AOP) that converts mechanical
energy to chemical form producing reactive oxygen species (ROS) for mineralizing organic …
energy to chemical form producing reactive oxygen species (ROS) for mineralizing organic …
Toward ultra-high strength high entropy alloys via feature engineering
Abstract Machine learning assisted design of materials is so far based on features selected
by considering the accuracy of model predictions, and those features do not necessarily …
by considering the accuracy of model predictions, and those features do not necessarily …
Machine Learning Accelerated Discovery of Functional MXenes with Giant Piezoelectric Coefficients
Efficient and rapid screening of target materials in a vast material space remains a
significant challenge in the field of materials science. In this study, first-principles …
significant challenge in the field of materials science. In this study, first-principles …
An interpretable machine learning strategy for pursuing high piezoelectric coefficients in (K0.5Na0.5)NbO3-based ceramics
Perovskite-type lead-free piezoelectric ceramics allow access to illustrious piezoelectric
coefficients (d 33) through intricate composition design and experimental modulation …
coefficients (d 33) through intricate composition design and experimental modulation …
Autoencoded chemical feature interaction machine learning method boosting performance of piezoelectric catalytic process
Piezoelectric catalytic process can reduce energy consumption in water treatment
processes. However, the design of high-performance piezoelectric materials and the search …
processes. However, the design of high-performance piezoelectric materials and the search …
[HTML][HTML] Predicting the stacking fault energy in FCC high-entropy alloys based on data-driven machine learning
X Zhang, R Dong, Q Guo, H Hou, Y Zhao - Journal of Materials Research …, 2023 - Elsevier
The properties of high-entropy alloys (HEAs) depend primarily on the composition and
content of elements. However, getting the optimal composition of alloying elements through …
content of elements. However, getting the optimal composition of alloying elements through …
Accelerated discovery of high-performance Al-Si-Mg-Sc casting alloys by integrating active learning with high-throughput CALPHAD calculations
Scandium is the best alloying element to improve the mechanical properties of industrial Al-
Si-Mg casting alloys. Most literature reports devote to exploring/designing optimal Sc …
Si-Mg casting alloys. Most literature reports devote to exploring/designing optimal Sc …
Machine learning aided accelerated prediction and experimental validation of functional properties of K1-xNaxNbO3-based piezoelectric ceramics
S Sapkal, B Kandasubramanian, P Dixit… - Materials Today Energy, 2023 - Elsevier
The functional properties of piezoelectric ceramics are vital to design materials for energy
harvesting applications. In the present study, to accelerate the design process with …
harvesting applications. In the present study, to accelerate the design process with …
Machine learning-assisted design of Al2O3–SiO2 porous ceramics based on few-shot datasets
Z Sun, N Hu, L Ke, Y Lv, Y Liu, Y Bai, Z Ou, J Li - Ceramics International, 2023 - Elsevier
A machine learning model was proposed to accelerate the preparation of Al 2 O 3–SiO 2
porous ceramics (ASPC) based on few-shot datasets. Phosphate tailings and bauxite were …
porous ceramics (ASPC) based on few-shot datasets. Phosphate tailings and bauxite were …