Ultrahigh energy storage density lead-free multilayers by controlled electrical homogeneity
Ultrahigh discharge energy density (Wdis = 10.5 J cm−3) and efficiency (η = 87%) have been
obtained in doped BiFeO3–BaTiO3 ceramic multilayers by achieving an electrically rather …
obtained in doped BiFeO3–BaTiO3 ceramic multilayers by achieving an electrically rather …
Electroceramics for high-energy density capacitors: current status and future perspectives
Materials exhibiting high energy/power density are currently needed to meet the growing
demand of portable electronics, electric vehicles and large-scale energy storage devices. The …
demand of portable electronics, electric vehicles and large-scale energy storage devices. The …
Deep learning for tomographic image reconstruction
Deep-learning-based tomographic imaging is an important application of artificial intelligence
and a new frontier of machine learning. Deep learning has been widely used in computer …
and a new frontier of machine learning. Deep learning has been widely used in computer …
Product-driven supply chain selection using integrated multi-criteria decision-making methodology
G Wang, SH Huang, JP Dismukes - International journal of production …, 2004 - Elsevier
Effective supply chain design calls for robust analytical models and design tools. Previous
works in this area are mostly Operation Research oriented without considering manufacturing …
works in this area are mostly Operation Research oriented without considering manufacturing …
Winter and Summer PM2.5 Chemical Compositions in Fourteen Chinese Cities
…, SC Lee, XX Tie, KF Ho, GH Wang… - Journal of the Air & …, 2012 - Taylor & Francis
PM 2.5 in 14 of China's large cities achieves high concentrations in both winter and summer
with averages >100 μg m −3 being common occurrences. A grand average of 115 μg m −3 …
with averages >100 μg m −3 being common occurrences. A grand average of 115 μg m −3 …
Low-dose CT with a residual encoder-decoder convolutional neural network
Given the potential risk of X-ray radiation to the patient, low-dose CT has attracted a considerable
interest in the medical imaging field. Currently, the main stream low-dose CT methods …
interest in the medical imaging field. Currently, the main stream low-dose CT methods …
Low-dose X-ray CT reconstruction via dictionary learning
Although diagnostic medical imaging provides enormous benefits in the early detection and
accuracy diagnosis of various diseases, there are growing concerns on the potential side …
accuracy diagnosis of various diseases, there are growing concerns on the potential side …
3-D convolutional encoder-decoder network for low-dose CT via transfer learning from a 2-D trained network
Low-dose computed tomography (LDCT) has attracted major attention in the medical imaging
field, since CT-associated X-ray radiation carries health risks for patients. The reduction of …
field, since CT-associated X-ray radiation carries health risks for patients. The reduction of …
Carbon‐based composite phase change materials for thermal energy storage, transfer, and conversion
…, P Cheng, Z Tang, X Xu, H Gao, G Wang - Advanced …, 2021 - Wiley Online Library
Phase change materials (PCMs) can alleviate concerns over energy to some extent by
reversibly storing a tremendous amount of renewable and sustainable thermal energy. However, …
reversibly storing a tremendous amount of renewable and sustainable thermal energy. However, …
Low-dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss
The continuous development and extensive use of computed tomography (CT) in medical
practice has raised a public concern over the associated radiation dose to the patient. …
practice has raised a public concern over the associated radiation dose to the patient. …