公开(公告)号：US20230359788A1

公开(公告)日：2023-11-09

申请号：US18027174

申请日：2021-10-01

Applicant: DeepMind Technologies Limited

Inventor： Alvaro Sanchez ,  Jonathan William Godwin ,  Rex Ying ,  Tobias Pfaff ,  Meire Fortunato ,  Peter William Battaglia

IPC: G06F30/27

CPC classification number: G06F30/27 ,  G06F2113/08

Abstract: This specification describes a simulation system that performs simulations of physical environments using a graph neural network. At each of one or more time steps in a sequence of time steps, the system can process a representation of a current state of the physical environment at the current time step using the graph neural network to generate a prediction of a next state of the physical environment at the next time step. Some implementations of the system are adapted for hardware GLOBAL acceleration. As well as performing simulations, the system can be used to predict physical quantities based on measured real-world data. Implementations of the system are differentiable and can also be used for design optimization, and for optimal control tasks.