"Representing Atomic Structures As A Gaussian Process" in Patent Application Approval Process (USPTO 20240160998).
In: Blood Weekly, 2024-06-06, S. 650-650
serialPeriodical
Zugriff:
A patent application by inventors Jens Strabo HUMMELSH0J and Joseph Harold MONTOYA, assigned to Toyota Research Institute Inc., describes a method for representing atomic structures as Gaussian processes. The method involves mapping a crystal structure of chemical elements in a real space, learning a 3D embedding of each element, training a machine learning model based on the mapping, and predicting material properties. The patent application highlights the potential of machine learning and Gaussian processes in materials discovery and property prediction. This information may be useful for researchers interested in emerging technologies, neural networks, and machine learning. [Extracted from the article]
Copyright of Blood Weekly is the property of NewsRx and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Titel: |
"Representing Atomic Structures As A Gaussian Process" in Patent Application Approval Process (USPTO 20240160998).
|
---|---|
Zeitschrift: | Blood Weekly, 2024-06-06, S. 650-650 |
Veröffentlichung: | 2024 |
Medientyp: | serialPeriodical |
ISSN: | 1065-6073 (print) |
Schlagwort: |
|
Sonstiges: |
|