The Dark Side of the Forces: Assessing Non-Conservative Force Models for Atomistic Machine Learning
Summary of Bigi et al.'s 2025 paper that critically evaluates the trend of using non-conservative force models in atomistic machine learning, …
12 posts tagged with molecular-dynamics.
Summary of Bigi et al.'s 2025 paper that critically evaluates the trend of using non-conservative force models in atomistic machine learning, …
Summary of Fu et al.'s 2025 paper that bridges the gap between test-set accuracy and downstream task performance for MLIPs by proposing energy …
LAMMPS molecular dynamics simulation showing liquid argon behavior.
A deep dive into a Python-based replication of Aneesur Rahman's seminal 1964 paper, exploring the foundations of molecular dynamics with modern tools …
Summary of Daw and Baskes's 1984 paper that introduces the Embedded-Atom Method (EAM), a semi-empirical, many-body potential that became a cornerstone …
Summary of Aneesur Rahman's 1964 paper that effectively founded the field of molecular dynamics simulation by demonstrating its power to reveal the …
Learn about the Kabsch algorithm for optimal point alignment with implementations in NumPy, PyTorch, TensorFlow, and JAX for ML applications.
Build LAMMPS molecular dynamics simulations of platinum surface diffusion. Setup and analysis tutorial for generating trajectory data.
LAMMPS molecular dynamics simulation showing copper adatom diffusion on a Cu(100) surface.
LAMMPS molecular dynamics simulation showing platinum adatom diffusion on a Pt(100) surface.
Learn LAMMPS molecular dynamics: simulate copper adatom diffusion on Cu(100) surfaces with setup guide and trajectory analysis.
Build GROMACS workflows for simulating mini-proteins across multiple amino acids. Generate diverse MD trajectories for machine learning.