arXiv subjects

Dongyan Zhang

Publications and source records attributed to Dongyan Zhang.

8 recordsLinked to original sources

arXiv2023

A data-driven analysis on the mediation effect of compartment models between control measures and COVID-19 epidemics

We make a retrospective review on various control measures taken by 127 countries/territories during the first wave of COVID-19 pandemic until July 7, 2020, and evaluate their impacts on the epidemic dynamics quantitatively. The SEIR-QD model, as a representative for general compartment models, is used to fit the epidemic data, enabling the extraction of crucial model parameters and dynamical features. The mediation effect of the SEIR-QD model is revealed by using the mediation analysis with structure equation modeling for multiple mediators operating in parallel. The inherent impacts of these control policies on the transmission dynamics of COVID-19 epidemics are clarified, and compared with results derived from both multiple linear regression and neural-network-based nonlinear regression. Through this data-driven analysis, the mediation effect of compartment models is confirmed, which provides a better understanding on the intrinsic correlations among the strength of control measures and the dynamical features of COVID-19 epidemics.

q-bio.PE↗

arXiv2022

Understanding the Stability for LiNi0.5Mn0.5O2 as a Co-free positive electrode material

For understanding the stability of Co-free positive electrode material, LiNi0.5Mn0.5O2 was synthesized with different addition amount of lithium during calcination. The valence states of transition metal in the prepared samples were determined by combining accurate stoichiometry analysis via ICP, magnetic moment measurement via SQUID, and element valence analysis via XPS with Ar ion etching. Unexpectedly, the transition metals, Ni and Mn, at interior and surface of LiNi0.5Mn0.5O2 particles show different electrochemical properties. This answer lingering questions of Li de-intercalation mechanism in LiNi0.5Mn0.5O2.

cond-mat.mtrl-sci↗

arXiv2022

Abnormal improved dielectric in La doped relaxor ferroelectric PNN-PHT

Relaxor ferroelectrics are complex materials with distinct properties different from classic ferroelectrics. Probing frequency depended dielectric susceptibility is its trait. Other empirical laws build on classic ferroelectrics are still applicable to relaxor ferroelectrics. Here we report an abnormal improved dielectric in La doped relaxor ferroelectric 0.4PNN-0.6PHT, which deviated from the consistent variation relationship with piezoelectric coefficient. A mesoscale mechanism is proposed to reveal the origin of the improved dielectric response in 0.4PNN-0.6PHT, where the polar nanoregions alignment can facilitate polarization response to external field. This mechanism emphasizes the critical role of polarization fluctuation on the macroscopic properties of 0.4PNN-0.6PHT.

cond-mat.mtrl-sci↗

arXiv2021

Rational evaluation of various epidemic models based on the COVID-19 data of China

In this paper, based on the Akaike information criterion, root mean square error and robustness coefficient, a rational evaluation of various epidemic models/methods, including seven empirical functions, four statistical inference methods and five dynamical models, on their forecasting abilities is carried out. With respect to the outbreak data of COVID-19 epidemics in China, we find that before the inflection point, all models fail to make a reliable prediction. The Logistic function consistently underestimates the final epidemic size, while the Gompertz's function makes an overestimation in all cases. Towards statistical inference methods, the methods of sequential Bayesian and time-dependent reproduction number are more accurate at the late stage of an epidemic. And the transition-like behavior of exponential growth method from underestimation to overestimation with respect to the inflection point might be useful for constructing a more reliable forecast. Compared to ODE-based SIR, SEIR and SEIR-AHQ models, the SEIR-QD and SEIR-PO models generally show a better performance on studying the COVID-19 epidemics, whose success we believe could be attributed to a proper trade-off between model complexity and fitting accuracy. Our findings not only are crucial for the forecast of COVID-19 epidemics, but also may apply to other infectious diseases.

q-bio.PE↗

arXiv2020

Epidemic analysis of COVID-19 in China by dynamical modeling

The outbreak of novel coronavirus-caused pneumonia (COVID-19) in Wuhan has attracted worldwide attention. Here, we propose a generalized SEIR model to analyze this epidemic. Based on the public data of National Health Commission of China from Jan. 20th to Feb. 9th, 2020, we reliably estimate key epidemic parameters and make predictions on the inflection point and possible ending time for 5 different regions. According to optimistic estimation, the epidemics in Beijing and Shanghai will end soon within two weeks, while for most part of China, including the majority of cities in Hubei province, the success of anti-epidemic will be no later than the middle of March. The situation in Wuhan is still very severe, at least based on public data until Feb. 15th. We expect it will end up at the beginning of April. Moreover, by inverse inference, we find the outbreak of COVID-19 in Mainland, Hubei province and Wuhan all can be dated back to the end of December 2019, and the doubling time is around two days at the early stage.

q-bio.PE↗

arXiv2017

A phenomenological thermodynamic potential for DyCo$_2$

A phenomenological thermodynamic potential was constructed based on the symmetry analysis and property characterization of bulk DyCo2. An eight-order polynomial of Landau expansion was employed to describe the thermodynamic behavior of DyCo2. Several properties were reproduced including ferromagnetic transition temperature, magnetization curve, temperature dependence of magnetization. The transition behavior was analyzed via the thermodynamic potential. The Landau phenomenological thermodynamic model predicts the correct metamagnetic transition near the Curie temperature.

cond-mat.mtrl-sci↗

arXiv2013

Photoluminescence modulation of ZnO via coupling with the surface plasmon resonance of gold nanoparticles

In this letter, we study how coupling between AuNPs and ZnO thin films affects their emission properties. The emission intensity of ZnO thin films changes when Al2O3 spacer layer of different thickness are included in ZnO/Au films, consistent with theoretical predictions. The emission properties are also controlled using the polarization of the excitation source. Emission properties depended on the polarization of the excitation source because of the surface plasmon resonance of AuNPs. The photoluminescence anisotropy of these systems shows that enhanced photoluminescence can be achieved through coupling of the emission from ZnO with the surface plasmon resonance of AuNPs.

cond-mat.mtrl-sci↗

arXiv2013

Role of Electronic Structure in the Morphotropic Phase Boundary of TbxDy1-xCo2 Studied by First-principles Calculation

Physically parallel to ferroelectric morphotropic phase boundary, a phase boundary separating two ferromagnetic phase of different crystallographic symmetries was found in TbxDy1-xCo2. High-resolution synchrotron XRD has been carried out to offer experimental evidence for TbxDy1-xCo2. It has been proved that TbxDy1-xCo2 (0.6 0.7) phase is distorted from a Laves Phase. Here, a first principles calculation provides a theoretical explanation on the origin of MBP in TbxDy1-xCo2 and is also provided for the question of why MPB occurs in TbxDy1-xCo2 alloys.

cond-mat.mtrl-sci↗