Mingang Jin
2016
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Mingang Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mingang Jin's perspective
Ordered by how strongly the researchers Mingang Jin trusts endorse each paper. Same corpus, a different order for every researcher.
- Stable fluids
- Computational methods for fluid dynamics
- A semi-Lagrangian high-order method for Navier-Stokes equations
- Large sample properties of simulations using latin hypercube sampling
- Distilling Free-Form Natural Laws from Experimental Data
- Statistical and Computational Inverse Problems (Technometrics)
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems
- Efficient Inference of Parsimonious Phenomenological Models of Cellular Dynamics Using S-Systems and Alternating Regression
- Amplitude equations from spatiotemporal binary-fluid convection data
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
Their papers
- Implementation of a fast fluid dynamics model in OpenFOAM for simulating indoor airflow (2016) — 64 citations