Mango-Selm : Fluctuating hydrodynamics package for LAMMPS (USER-SELM)
Stochastic Immersed Boundary Methods
Stochastic Eulerian Lagrangian Methods
Implicit-Solvent Coarse-Grained Models
Fluctuating hydrodynamics methods implemented for performing simulations in LAMMPS. The package can be used for performing implicit-solvent coarse-grained simulations in molecular dynamics and for more general problems involving fluid-structure interactions subject to thermal fluctuations. LAMMPS is an easy to use dynamics package for modeling mechanical systems and provides many types of degrees of freedom, common force laws, and statistical analysis methods. Mango-Selm (USER-SELM) allows for using these capabilities when performing fluctuating hydrodynamics simulations. For more details, see [downloads and additional information].
Stochastic Immersed Boundary Method
Stochastic Immersed Boundary Methods provide approaches for fluid-structure interactions subject to thermal fluctuations. An implementation and tutorial for how to use these methods is provided here: [downloads and additional information].
Course Supplemental Materials
Data Science and Machine Learning
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Facial Recognition and Feature Extraction (course exercise)
Machine Learning Course Link
Machine Learning: Foundations and Applications Course (MATH CS 120) [course-link]