A5080027678- Industrial Vision Systems and Defect Detection
- Integrated Circuits and Semiconductor Failure Analysis
- Semiconductor materials and devices
- Advanced Memory and Neural Computing
- Electron and X-Ray Spectroscopy Techniques
- Financial Risk and Volatility Modeling
- Advancements in Photolithography Techniques
- Global Trade and Competitiveness
- Manufacturing Process and Optimization
- Advanced Surface Polishing Techniques
- Statistical Methods and Inference
- Ferroelectric and Negative Capacitance Devices
- Financial Markets and Investment Strategies
- Insurance and Financial Risk Management
- Physics of Superconductivity and Magnetism
- Electrocatalysts for Energy Conversion
- Electric Motor Design and Analysis
- Scheduling and Optimization Algorithms
- Machine Learning and Data Classification
- Advanced battery technologies research
- Surface Roughness and Optical Measurements
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Extracellular vesicles in disease
- Microbial Fuel Cells and Bioremediation
- Topological and Geometric Data Analysis
Zhejiang University
2020-2025
London School of Economics and Political Science
2020-2024
Fuzhou University
2024
Center for Life Sciences
2024
Tsinghua University
2002-2024
Peking University
2024
Central South University
2024
Huaqiao University
2024
University of Science and Technology of China
2024
Micro & Nano Research Institute
2023
Unstable Zn interface with serious detrimental parasitic side-reactions and uncontrollable dendrites severely plagues the practical application of aqueous zinc-ion batteries. The stability was closely related to electrolyte configuration
Abstract Migrasomes are organelles that generated by migrating cells. Here we report the key role of neutrophil-derived migrasomes in haemostasis. We found a large number exist blood mice and humans. Compared with neutrophil cell bodies platelets, these adsorb enrich coagulation factors on surface. Moreover, they highly enriched adhesion molecules, which enable them to preferentially accumulate at sites injury, where trigger platelet activation clot formation. Depletion neutrophils, or...
We introduce a random forest approach to enable spreads' prediction in the primary catastrophe bond market. In purely predictive framework, we assess importance of spread predictors using permutation and minimal depth methods. The whole population non-life bonds issued from December 2009 May 2018 is used. find that has at least as good performance our benchmark-linear regression temporal context, better non-temporal one. Random also performs than benchmark when multiple are excluded...
Abstract This paper explores the synchronization of stochastic simplicial complexes with noise, modeled by differential equations Itô type. It establishes relationship between and individual dynamics, higher-order structures, coupling strengths, noise. In particular, this study delves into role multibody interactions, particularly focusing on influence structures overall behavior. Furthermore, effects noise synchronizability in complex are thoroughly examined. The obtained results indicate...
Abstract Aqueous zinc‐metal batteries (AZMBs) usually suffered from poor reversibility and limited lifespan because of serious water induced side‐reactions, hydrogen evolution reactions (HER) rampant zinc (Zn) dendrite growth. Reducing the content molecules within Zn‐ion solvation sheaths can effectively suppress those inherent defects AZMBs. In this work, we originally discovered that two carbonyl groups N‐Acetyl‐ϵ‐caprolactam (N‐ac) chelating ligand serve as dual sites to coordinate with...
Abstract The levitation force between the superconductor and magnet is highly nonlinear affected by coupling of multiple factors, which brings many obstacles to research application. In addition experimental methods finite element simulations, booming artificial neural network (ANN) adept at continuous fitting may provide another solution predict force. And this topic has not been deeply investigated so far. Therefore, study aims apply ANN force, a typical applied with back propagation (BP)...
Abstract Due to the merits of self-stability and low energy consumption, high-temperature superconducting (HTS) maglev has potential become a novel type transportation mode. As key index guarantee lateral HTS maglev, guiding force strong non-linearity is determined by multitudinous factors, these complexities impede its further researches. Compared traditional finite element polynomial fitting method, prosperity deep learning algorithms could provide another prediction approach, but...
We propose a multiscale approach to time series autoregression, in which linear regressors for the process question include features of its own path that live on multiple timescales. take these be recent averages over timescales, whose number or spans are not known analyst and estimated from data via change-point detection technique. The resulting construction, termed Adaptive Multiscale AutoRegression (AMAR) enables adaptive regularisation autoregression large orders. AMAR model is designed...
Ferric uptake regulator (Fur) is a transcriptional playing central role in iron homeostasis of many bacteria, and Fur inactivation commonly results pleiotropic phenotypes. In Shewanella oneidensis , representative dissimilatory metal-reducing γ-proteobacteria capable respiring variety chemicals as electron acceptors (EAs), loss substantially impairs respiration. However, to date the mechanism underlying physiological phenomenon remains obscure. This investigation reveals that compromises...
Tri-level resistive switching behavior was observed in an Al <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> O xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> /SiO gate stack with Ru metal nanocrystals embedded the layer. The device successfully switched among three resistance states (high, medium, and low) after a forming process using simple electrical method. ratio of high-resistance state to low-resistance is more than 10 <sup...
In this work, we demonstrate a two-step analysis procedure that enables an in-depth understanding of the localized charge trapping and decay mechanisms in metal nanocrystal (MNC)-embedded high-κ/SiO2 gate stacks. The results clearly reveal vertical loss lateral diffusion are two competing mechanisms, they can be identified by discharging current measurements at elevated temperatures Kelvin force microscopy characterization. It is found MNC with higher work function has lower inter-dot...
Due to self-stable levitation, high-temperature-superconducting (HTS) pinning maglev system has a great potential become high-speed transportation mode. As its most significant factor, operation stability and safety reflected by monitoring of vehicle vibration states during running procedure should get more attention. However, both the inadequacy previous researches continuous growth conditions increase detection difficulty HTS vibration. Therefore, this paper adapts deep learning algorithm...
The conduction mechanisms of dielectric breakdown (BD) in MOS capacitor structure with nanocrystals (NCs) embedded bi-layer gate stacks (SiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> /Al O xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> ) are studied systematically. Using a unique stressing methodology inducing BD path one layer, the charging and discharging phenomenon metal NCs leakage mechanism degraded found to be strongly...
In this paper we examine a novel way of imposing shape constraints on local polynomial kernel estimator. The proposed approach is referred to as Shape Constrained Kernel-weighted Least Squares (SCKLS). We prove uniform consistency the SCKLS estimator with monotonicity and convexity/concavity establish its convergence rate. competitiveness shown in comprehensive simulation study. Finally, analyze Chilean manufacturing data using quantify production plastics wood industries. results show that...
Multi-Agent Reinforcement Learning (MARL) is widely used to solve various problems in real life. In the multi-agent reinforcement learning tasks, there are multiple agents environment, existing Proximal Policy Optimization (PPO) algorithm can be applied learning. However, it cannot deal with communication problem between agents. order resolve this issue, we propose a Graph-based PPO algorithm, approach and enhance exploration efficiency of environment speed up process. We apply our...
We present a systematic investigation of the temperature dependent relaxation current behavior for single layer and dual Pt metal nanocrystal (MNC)-based Al2O3/SiO2 flash memory gate stacks. Stacks containing MNC exhibit dual-slope in log-log plots transient, whereas those with single-slope behavior. propose physical model embodying two competing mechanisms to explain induced current—thermionic emission quantum tunneling. Based on this model, MNC-based stack can be ascribed dominance...
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