Zobrazeno 1 - 10
of 6 957
pro vyhledávání: '"JIANG, Chao"'
As a bridge connecting the matching polynomial and the Laplacian matching polynomial of graphs, the subdivision method is expected to be useful for investigating the Laplacian matching polynomial. In this paper, we study applications of the method fr
Externí odkaz:
http://arxiv.org/abs/2410.14112
The solar coronal magnetic field is a pivotal element in the study of eruptive phenomena, and understanding its dynamic evolution has long been a focal point in solar physics. Numerical models, driven directly by observation data, serve as indispensa
Externí odkaz:
http://arxiv.org/abs/2410.09433
Autor:
Jiang, Chao, Xu, Wei
Medical texts are notoriously challenging to read. Properly measuring their readability is the first step towards making them more accessible. In this paper, we present a systematic study on fine-grained readability measurements in the medical domain
Externí odkaz:
http://arxiv.org/abs/2405.02144
Autor:
Jiang, Chao, Shao, Lei
We derive a time-dependent master equation for an externally driven system whose subsystems weakly interact with each other and locally connect to the thermal reservoirs. The nonadiabatic equation obtained here can be viewed as a generalization of th
Externí odkaz:
http://arxiv.org/abs/2404.14081
Machine learning approaches have recently emerged as powerful tools to probe structure-property relationships in crystals and molecules. Specifically, Machine learning interatomic potentials (MLIP) can accurately reproduce first-principles data at a
Externí odkaz:
http://arxiv.org/abs/2402.18891
We propose and analyze a universal method to obtain fast charging of a quantum battery by a driven charger system using controlled, pure dephasing of the charger. While the battery displays coherent underdamped oscillations of energy for weak charger
Externí odkaz:
http://arxiv.org/abs/2402.16999
Faced with the scarcity of clean label data in real scenarios, seismic denoising methods based on supervised learning (SL) often encounter performance limitations. Specifically, when a model trained on synthetic data is directly applied to field data
Externí odkaz:
http://arxiv.org/abs/2311.02193
Despite the success of diffusion models, the training and inference of diffusion models are notoriously expensive due to the long chain of the reverse process. In parallel, the Lottery Ticket Hypothesis (LTH) claims that there exists winning tickets
Externí odkaz:
http://arxiv.org/abs/2310.18823
Autor:
Zhou, Shuxiang, Xiao, Enda, Ma, Hao, Gofryk, Krzysztof, Jiang, Chao, Manley, Michael E., Hurley, David H., Marianetti, Chris A.
Computing thermal transport from first-principles in UO$_2$ is complicated due to the challenges associated with Mott physics. Here we use irreducible derivative approaches to compute the cubic and quartic phonon interactions in UO$_2$ from first-pri
Externí odkaz:
http://arxiv.org/abs/2310.09282
Autor:
Malakkal, Linu, Katre, Ankita, Zhou, Shuxiang, Jiang, Chao, Hurley, David H., Marianetti, Chris A., Khafizov, Marat
This work presents the first principles calculations of the lattice thermal conductivity degradation due to point defects in thorium dioxide using an alternative solution of the Pierels-Boltzmann transport equation. We have used the non-perturbative
Externí odkaz:
http://arxiv.org/abs/2308.08583