-
公开(公告)号:US20240071577A1
公开(公告)日:2024-02-29
申请号:US18260182
申请日:2022-01-07
Applicant: DeepMind Technologies Limited
Inventor: James Kirkpatrick , Brendan Charles McMorrow , David Herbert Phlipp Turban , Alexander Lloyd Gaunt , James Spencer , Alexander Graeme de Garis Matthews , Aron Jonathan Cohen
Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for predicting an exchange-correlation energy of an atomic system. The system obtains respective electron-orbital features of the atomic system at each of a plurality of grid points; generates, for each of the plurality of grid points, a respective input feature vector for the electron-orbital features at the grid point; and processes the respective input feature vectors for the plurality of grid points using a neural network to generate a predicted exchange-correlation energy of the atomic system.
-
公开(公告)号:US20210334655A1
公开(公告)日:2021-10-28
申请号:US17240554
申请日:2021-04-26
Applicant: DeepMind Technologies Limited
Inventor: Annette Ada Nkechinyere Obika , Tian Xie , Victor Constant Bapst , Alexander Lloyd Gaunt , James Kirkpatrick
Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for predicting one or more properties of a material. One of the methods includes maintaining data specifying a set of known materials each having a respective known physical structure; receiving data specifying a new material; identifying a plurality of known materials in the set of known materials that are similar to the new material; determining a predicted embedding of the new material from at least respective embeddings corresponding to each of the similar known materials; and processing the predicted embedding of the new material using an experimental prediction neural network to predict one or more properties of the new material.
-
公开(公告)号:US12190236B2
公开(公告)日:2025-01-07
申请号:US17240554
申请日:2021-04-26
Applicant: DeepMind Technologies Limited
Inventor: Annette Ada Nkechinyere Obika , Tian Xie , Victor Constant Bapst , Alexander Lloyd Gaunt , James Kirkpatrick
Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for predicting one or more properties of a material. One of the methods includes maintaining data specifying a set of known materials each having a respective known physical structure; receiving data specifying a new material; identifying a plurality of known materials in the set of known materials that are similar to the new material; determining a predicted embedding of the new material from at least respective embeddings corresponding to each of the similar known materials; and processing the predicted embedding of the new material using an experimental prediction neural network to predict one or more properties of the new material.
-
-