Foundations of Solid Mechanics. [PDF]
Finite Element Analysis. [PDF]
Nonlinear Finite Element Analysis. [PDF]
Partial Differential Equations. [PDF]
Linear Algebra. [PDF]
Atomistic Modeling. [PDF]
Inverse Problems. [PDF]
Principles of Large Scale Machine Learning. [PDF]
Engineering Thermodynamics. [PDF]
Computational Fluid Dynamics. [PDF]
Density Functional Theory. [Notebooks 1; 2; 3; 4]
Design Optimization. [PDF]
Mathematical Modeling. [PDF]
Smoothed-Particles Hydrodynamics. [PDF]
Finite Volume Method. [PDF]
Neural Networks. [PDF]
Dynamics of Janus Particles. [PDF]
Machine Learning for Multiscale Modeling. [PDF]
