Ab Initio Molecular Dynamics Snapshots of Liquid Water at Room Temperature

Snapshots of liquid water generated using ab initio molecular dynamics with the rVV10 density functional. The simulations incorporate nuclear quantum effects through path-integral molecular dynamics methods. The dataset was provided by Wei Chen from École Polytechnique Fédérale de Lausanne.

Use Cases

• Benchmarking classical force fields based on ab initio reference data mentioned in the description
• Training machine learning potentials for water based on quantum-mechanical snapshots
• Analyzing hydrogen-bonding network structure in liquid water based on molecular dynamics trajectories

Strengths

• Data is generated from first-principles (ab initio) simulations, providing a high-fidelity quantum-mechanical reference
• Simulations incorporate nuclear quantum effects, which are important for accurate modeling of water

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

École Polytechnique Fédérale de Lausanne

Collection Method

Generated via ab initio molecular dynamics simulations using the rVV10 density functional and path-integral molecular dynamics.