activity
20182023
most citedA Deep Learning Approach to Predicting Ventilator Parameters for Mechanically Ventilated Septic Patients

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

physics.geo-ph2023★ 2 cited

Boundary-to-Solution Mapping for Groundwater Flows in a Toth Basin

Jingwei Sun, Jun Li, Yonghong Hao +7

In this paper, the authors propose a new approach to solving the groundwater flow equation in the Toth basin of arbitrary top and bottom topographies using deep learning. Instead o…

cond-mat.supr-con2022★ 1 cited

Nonreciprocal Charge Transport in Topological Kagome Superconductor CsVSb

Yueshen Wu, Qi Wang, Xiang Zhou +14

Nonreciprocal charge transport phenomena are widely studied in two-dimensional superconductors, which demonstrate unidirectional-anisotropy magnetoresistances as a result of symmet…

q-bio.QM2022★ 2 cited

A Deep Learning Approach to Predicting Ventilator Parameters for Mechanically Ventilated Septic Patients

Zhijun Zeng, Zhen Hou, Ting Li +10

We develop a deep learning approach to predicting a set of ventilator parameters for a mechanically ventilated septic patient using a long and short term memory (LSTM) recurrent ne…

physics.flu-dyn2018

Quasi-incompressible Multi-species Ionic Fluid Models

Xiaogang Yang, Yuezheng Gong, Jun Li +2

In traditional hydrodynamic theories for ionic fluids, conservation of the mass and linear momentum is not properly taken care of. In this paper, we develop hydrodynamic theories f…

math.NA2018

Second Order Linear Energy Stable Schemes for Allen-Cahn Equations with Nonlocal Constraints

Xiaobo Jing, Jun Li, Xueping Zhao +1

We present a set of linear, second order, unconditionally energy stable schemes for the Allen-Cahn equation with nonlocal constraints that preserves the total volume of each phase…