142 citations
- Duke UniversityUS18 papers
- Ludwig-Maximilians-Universität MünchenDE9 papers
- Sun Yat-sen UniversityCN8 papers
- Peking UniversityCN7 papers
- Xi’an Jiaotong-Liverpool UniversityCN7 papers
- Institute of Science and Technology AustriaAT5 papers
- Wuhan UniversityCN5 papers
- Zhejiang UniversityCN5 papers
- Beijing Normal UniversityCN4 papers
- Illinois Institute of TechnologyUS4 papers
- Pohang University of Science and TechnologyKR4 papers
- Triangle Universities Nuclear LaboratoryUS4 papers
16 papers · 1 filter
A Tridomain Model for Potassium Clearance in Optic Nerve of Necturus
Yi Zhu, Shixin Xu, Robert S. Eisenberg +1
The accumulation of potassium in the narrow space outside nerve cells is a classical subject of biophysics that has received much attention recently. It may be involved in potassiu…
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction
Penglei Gao, Xi Yang, Rui Zhang +1
We propose a continuous neural network architecture, termed Explainable Tensorized Neural Ordinary Differential Equations (ETN-ODE), for multi-step time series prediction at arbitr…
Suppression of epitaxial thin film growth by mixing
Yu Feng, Bingyang Hu, Xiaoqian Xu
We consider following fourth-order parabolic equation with gradient nonlinearity on the two-dimensional torus with and without advection of an incompressible vector field in the ca…
Persistent homology of the cosmic web. I: Hierarchical topology in CDM cosmologies
Georg Wilding, Keimpe Nevenzeel, Rien van de Weygaert +5
Using a set of CDM simulations of cosmic structure formation, we study the evolving connectivity and changing topological structure of the cosmic web using state-of-the-art tool…
Unifying the Concepts of Scattering and Structure Factor in Ordered and Disordered Samples
Dingning Li, Kai Zhang
Scattering methods are widely used in many research areas to analyze and resolve material structures. Given the importance, a large number of full textbooks are devoted to this top…
Ensemble Riemannian Data Assimilation over the Wasserstein Space
Sagar K. Tamang, Ardeshir Ebtehaj, Peter J. Van Leeuwen +2
In this paper, we present an ensemble data assimilation paradigm over a Riemannian manifold equipped with the Wasserstein metric. Unlike the Eulerian penalization of error in the E…