ACM Transactions on Graphics

The physical laws of everyday water flow were established two centuries ago. However, scientists today struggle to simulate disrupted water flow virtually, e.g., when a hand or object alters its flow. A research team from Tohoku University has harnessed the power of deep reinforcement learning to replicate the flow of water when disturbed. The replication allowed for recreating water flow in real time based on only a small amount of data, opening up the possibility for virtual reality interactions involving water.