Molecular Dynamics

From DFT to Machine-Learned Potentials: Choosing the Right Simulation Method for Materials Discovery

Computational materials discovery balances accuracy and cost, with DFT being accurate but slow, and MD faster but less accurate. Machine-learned potentials offer a middle ground, providing near-quantum accuracy at a fraction of the cost to accelerate discovery.