Chao Zhao

ORCID: 0000-0002-3367-0268
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About
Contact & Profiles
Research Areas
  • Semiconductor materials and devices
  • Remote-Sensing Image Classification
  • Advanced Image Fusion Techniques
  • Time Series Analysis and Forecasting
  • Remote Sensing in Agriculture
  • Anomaly Detection Techniques and Applications
  • Advancements in Semiconductor Devices and Circuit Design
  • Ocean Waves and Remote Sensing
  • Semiconductor materials and interfaces
  • Water Quality Monitoring and Analysis
  • Radioactive contamination and transfer
  • Atmospheric and Environmental Gas Dynamics
  • Geological formations and processes
  • Integrated Circuits and Semiconductor Failure Analysis
  • Oceanographic and Atmospheric Processes
  • Recycling and Waste Management Techniques
  • Complex Systems and Time Series Analysis
  • Marine and coastal ecosystems
  • Geology and Paleoclimatology Research
  • Metallurgy and Material Science
  • Copper Interconnects and Reliability
  • Structural Analysis of Composite Materials
  • Hydrology and Watershed Management Studies
  • Silicon and Solar Cell Technologies
  • Synthetic Aperture Radar (SAR) Applications and Techniques

Institute of Earth Environment
2024

Northwest University
2022-2023

Tianjin University
2023

Institute of Microelectronics
2014-2022

Chinese Academy of Sciences
2013-2019

Shandong University
2012-2019

University of Chinese Academy of Sciences
2019

Shandong University of Science and Technology
2017

Hohai University
2015

Capital Normal University
2014-2015

This paper describes a kinetic study of the decomposition waste printed circuit boards (WPCB) under conventional and microwave-induced pyrolysis conditions. We discuss heating rates influence on thermal kinetics WPCB. find that degradation WPCB in controlled thermogravimetric analyzer (TGA) occurred temperature range 300 °C–600 °C, where main organic matter takes place along with an expulsion volumetric volatiles. The corresponding activation energy is decreased from 267 kJ/mol to 168...

10.3390/en5093295 article EN cc-by Energies 2012-08-31

Improving the efficiency and safety of lithium-ion batteries (LIBs) with high-energy cathodes is crucial, yet challenging due to limitations commercial separators. Herein, we find that “giving” a portion Ni-rich LiNi0.8Co0.1Mn0.1O2 (NCM811) positive electrode Al2O3-coated polyethylene (PE) (PE/Al2O3) separator as an active thick ceramic coating (> 10 µm) can more efficiently enhance separator's wettability thermal stability compared inert thin (< 5 µm, typically 1~2 Al2O3 coating. The...

10.20517/energymater.2024.105 article EN Energy Materials 2025-01-10

The coupling mechanism between wave absorption and microwave metal discharges is very important in the application of heating for treatment waste electronic scraps, tires, other refuse a similar nature. In this work, absorbing material, strips, their mixture embedded quartz sands were irradiated by microwaves an indirect calorimetric method was used to measure effect explore mechanism. Numerical study also carried out validate experimental results explain theory. indicate that amount...

10.1021/ie403556w article EN Industrial & Engineering Chemistry Research 2014-01-10

Cloud detection is one of the key technologies in field remote sensing. Although extensive deep learning-based cloud methods achieve good performance, their results confusing areas such as boundaries and thin clouds are often not satisfactory due to potential inter-class similarity intra-class inconsistency objects. To this end, we propose a Boundary-Aware Bilateral Fusion network (BABFNet), which effectively enhances by introducing boundary prediction branch an auxiliary. avoid loss...

10.1109/tgrs.2023.3276750 article EN IEEE Transactions on Geoscience and Remote Sensing 2023-01-01

Time series classification (TSC) has attracted significant interest over the past decade. A shapelet is one fragment of a time that can represent class characteristics series. classifier based on shapelets interpretable, more accurate, and faster. However, it takes to find enormous. This article will propose fast (FS) discovery algorithm important data points (IDPs). First, identify IDPs. Next, subsequence containing or IDPs be selected as candidate shapelet. Finally, best selected. Results...

10.4018/ijwsr.2017040104 article EN International Journal of Web Services Research 2017-04-01

An effective method to improve the thermal stability of Ni(Ge1-xSnx) by carbon pre-stanogermanidation implant into GeSn substrate is investigated systematically. As-prepared samples were characterized means sheet resistance measurement, X-ray diffraction (XRD), scanning electron microscopy (SEM), cross-sectional transmission (X-TEM) and secondary ions mass spectroscopy (SIMS). The incorporation leads significantly improved about 100°C as well tends change preferred orientations...

10.1149/2.0041503jss article EN cc-by ECS Journal of Solid State Science and Technology 2014-12-19

In recent years, a large number of convolutional neural networks-based cloud detection algorithms have been proposed for remote sensing image preprocessing and most them an encoder-decoder structure. However, downsampling upsampling operations, as the basic components these methods, inevitably lead to loss detailed information in high-level features, which affects performance. At same time, physical characteristics cloud, such variable size irregular structure, also put forward requirements...

10.1109/lgrs.2022.3207426 article EN IEEE Geoscience and Remote Sensing Letters 2022-01-01

The influence of the ozone oxidation conditions on interfacial and electrical properties high-k/SiGe gate stacks was investigated by using a step-by-step fabrication procedure. relationship between characteristics corresponding chemical structures revealed that long time necessary to obtain high-quality interlayer (IL), whereas adverse in terms interface state density (Dit) equivalent oxide thickness (EOT) scaling. This conclusion suggested us employ post-high-k-deposition (post-O) method...

10.1149/2.0071906jss article EN ECS Journal of Solid State Science and Technology 2019-01-01

An algorithm of estimating Vertical distribution Chlorophyll-a (Chl-a) was evaluated based on Artificial Neural Networks (ANN) method in Hokkaido field the northwest Pacific Ocean. The applied to data SeaWiFS OrbView-2 and AVHRR NOAA off Hokkaido, has been September 24, 1998 28, 2001. Ocean color sensor provides information photosynthetic pigment concentration for upper 22% euphotic zone. In order model a primary production water column derived from satellite, it is important obtain vertical...

10.30536/j.ijreses.2005.v2.a1353 article EN cc-by-nc-sa International Journal of Remote Sensing and Earth Sciences (IJReSES) 2010-01-31

The problem of atmospheric phase effects is currently one the most important limiting factors for widespread application repeat-pass interferometric synthetic aperture radar (InSAR) measurements. Due to extraordinary complexity inhomogeneity and turbulence, it generally difficult obtain satisfactory mitigation in InSAR In recent years, several methods have been developed mitigating effects. An effective approach interferogram stacking, which based on stacking independent interferograms....

10.1080/01431161.2015.1073863 article EN International Journal of Remote Sensing 2015-08-10

High-k dielectric layers are deposited using ALD or MOCVD. Most of the work focused on Hf-based high-k dielectrics, either as pure HfO/sub 2/, silicate mixed with Al/sub 2/O/sub 3/. In some cases nitrogen is added to improve high-temperature stability. Various surface preparation methods and deposition conditions tested. Compatibility stacks poly-Si metal electrodes investigated. Significant improvements in yield thermal stability obtained by optimized modifications stack. Scaling equivalent...

10.1109/vtsa.2003.1252599 article EN 2004-08-13

A serious challenge that confronts shapelet-based algorithms for time series classification is finding optimal shapelets in a short time. Representative shapelet-discovery find by evaluating the qualities of candidates extracted from subsequences. One main difficulties large amount consumed, due to excessive number shapelet candidates. To address above problem, this paper we propose fast and interpretable candidate-extraction algorithm accelerate process discovery. The proposed utilizes...

10.1109/cscwd.2019.8791861 article EN 2019-05-01

Most existing deep learning-based cloud detection methods rely on high-quality pixel-level annotations, but acquiring them is prohibitively expensive. Some researchers have attempted to supplement annotated data with unannotated by referring the self-training paradigm. This kind of often involves an iterative "training-predicting" process, i.e. training data, then making predictions and using as pseudo annotations for retraining. However, lack sufficient initial images results in that there...

10.1109/icaica54878.2022.9844616 article EN 2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) 2022-06-24

10.1109/icfeict57213.2022.00090 article EN 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) 2022-08-01
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