
Converting SMILES Strings to 2D Molecular Images
Learn how to create 2D molecular images from SMILES strings using RDKit and PIL, with proper formatting and legends.
Learn how to create 2D molecular images from SMILES strings using RDKit and PIL, with proper formatting and legends.
Compare inverse transform sampling and von Neumann's rejection method for exponential random numbers with Python …
Guide to implementing the Müller-Brown potential in PyTorch, comparing analytical vs automatic differentiation with …
PyTorch implementation of the Müller-Brown potential with performance optimizations, MD simulations, and analytical vs …...
Replication of Rahman's 1964 molecular dynamics simulation using modern LAMMPS and Python, achieving quantitative …...
Recreating the foundational 1964 molecular dynamics simulation with modern Python and LAMMPS, testing whether Rahman's …...
Daw and Baskes's foundational 1984 paper introducing the Embedded-Atom Method (EAM), a many-body potential for metal …...
Torrie and Valleau's 1977 paper introducing Umbrella Sampling, an importance sampling technique for Monte Carlo …...
Learn about the Kabsch algorithm for optimal point alignment with implementations in NumPy, PyTorch, TensorFlow, and JAX …
LAMMPS tutorial for copper surface diffusion simulation and ML training data generation. Includes setup, analysis, and …
LAMMPS tutorial for platinum adatom diffusion simulation and ML training data. Learn how heavier atoms behave …
Systematic GROMACS workflows for simulating mini-proteins across multiple amino acids to generate diverse MD …