Prof. Ali Mani — Research Profile
Stanford University · Mechanical Engineering
About
Prof. Ali Mani at Stanford University Mechanical Engineering lists Flow Physics and Computational Engineering as their registered research area.
Research keywords
Recent papers
- Generalized Forcing Method: Generation of diverse data for training linear transport PDE closure modelsNewPhysical Review Fluids · Oct 13
- An energy stable initial boundary value problem for incompressible multi-phase flowNewJournal of Computational Physics · Sep 30
- Reproduction Data and Scripts for "Generalized Forcing Method: Generation of Diverse Data for Training Linear Transport PDE Closure Models"PreprintarXiv (Cornell University) · Aug 26
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Model Reduction and Neural Networks
Themistoklis Sapsis 교수 연구실
Massachusetts Institute of Technology · Department of Mechanical Engineering
Dynamics-informed deep learning for predicting extreme eventsNewProceedings of the Royal Society A Mathematical Physical and Engineering Sciences · Oct 21Navid Azizan 교수 연구실
Massachusetts Institute of Technology · Department of Mechanical Engineering
Learning dissipative chaotic dynamics with boundedness guaranteesProceedings of the National Academy of Sciences · Oct 12Faez Ahmed 교수 연구실
Massachusetts Institute of Technology · Department of Mechanical Engineering
Learning the Geometry of Admissible Hypotheses through Inductive Bias in Training DistributionsPreprintarXiv (Cornell University) · Aug 31
Other labs in this department
- Adam Boies 교수 연구실
Thermofluids, Energy and Propulsion Systems
- Adrian Lew 교수 연구실
Mechanics and Computation
- Allison Okamura 교수 연구실
Biomechanical Engineering, Design
- Arun Majumdar 교수 연구실
Thermofluids, Energy and Propulsion Systems
- Beverley J. McKeon 교수 연구실
Flow Physics and Computational Engineering
- David Kelley 교수 연구실
Design