collaborators

6 papers

math.AP2026

Global Finite-Energy Weak Solutions and Sharp Entropy Decay for a Poisson-Nernst-Planck System with Interspecies Drag and Steric Effects

Baoli Hao, Fanze Kong, Kei Fong Lam +1

We derive and analyze a binary Poisson-Nernst-Planck system with steric interactions and interspecies drag through the energetic variational approach. The steric effects are incorp…

math.AP2026

Global Well-posedness of the 2D Stochastic Self-consistent Keller-Segel-Navier-Stokes System with Subcritical Cellular Mass

Fanze Kong, Chen-Chih Lai, Krutika Tawri

We consider a stochastic Keller-Segel-Navier-Stokes system in describing the collective motion of cells in an ambient stochastic fluid flow, where the cells are attracted by…

math.FA2026

Mountain-Pass Solutions for Second-Order Ergodic Mean-Field Game Systems

Fanze Kong, Yonghui Tong, Xiaoyu Zeng

We study the existence of mountain-pass solutions to a potential-free mean-field game system in the whole space under the mass-supercritical regime, assuming an aggre…

math.AP2025

Stability and slow dynamics of an interior spiky pattern in a one-dimensional spatial Solow model with capital-induced labor migration

Fanze Kong, Jiayi Sun, Shuangquan Xie

One of the most significant findings in the study of spatial Solow-Swan models is the emergence of economic agglomeration, in which economic activities concentrate in specific regi…

cs.LG2025

Moment Estimates and DeepRitz Methods on Learning Diffusion Systems with Non-gradient Drifts

Fanze Kong, Chen-Chih Lai, Yubin Lu

Conservative-dissipative dynamics are ubiquitous across a variety of complex open systems. We propose a data-driven two-phase method, the Moment-DeepRitz Method, for learning drift…

physics.comp-ph2025

Moment Estimate and Variational Approach for Learning Generalized Diffusion with Non-gradient Structures

Fanze Kong, Chen-Chih Lai, Yubin Lu

This paper proposes a data-driven learning framework for identifying governing laws of generalized diffusions with non-gradient components. By combining energy dissipation laws wit…