The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 17, 2021
Filed:
Jun. 20, 2019
Brown University, Providence, RI (US);
Brenda Rubenstein, Providence, RI (US);
Jacob Karl Rosenstein, Providence, RI (US);
Christopher Arcadia, Providence, RI (US);
Shui Ling Chen, Harrisburg, PA (US);
Amanda Doris Dombroski, Cranston, RI (US);
Joseph D. Geiser, Barrington, RI (US);
Eamonn Kennedy, West Warwick, RI (US);
Eunsuk Kim, Providence, RI (US);
Kady M. Oakley, North Attleboro, MA (US);
Sherief Reda, Barrington, RI (US);
Christopher Rose, Providence, RI (US);
Jason Kelby Sello, Tiverton, RI (US);
Hokchhay Tann, Providence, RI (US);
Peter Weber, Barrington, RI (US);
Brown University, Providence, RI (US);
Abstract
The invention provides methods for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying chemical structure and/or concentration of at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.