Results for "molecular simulation"
Modeling chemical systems computationally.
Predicting protein 3D structure from sequence.
Imagined future trajectories.
Artificial environment for training/testing agents.
Neural networks that operate on graph-structured data by propagating information along edges.
Randomizing simulation parameters to improve real-world transfer.
Artificial sensor data generated in simulation.
Maximum expected loss under normal conditions.
Artificially created data used to train/test models; helpful for privacy and coverage, risky if unrealistic.
Multiple agents interacting cooperatively or competitively.
Equations governing how system states change over time.
Mathematical representation of friction forces.
Motion of solid objects under forces.
High-fidelity virtual model of a physical system.
Performance drop when moving from simulation to reality.
Differences between simulated and real physics.
Learning physical parameters from data.
Combining simulation and real-world data.
Human-like understanding of physical behavior.
AI discovering new compounds/materials.
Fast approximation of costly simulations.