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.

Date of Patent:
Sep. 12, 2023

Filed:

Oct. 01, 2020
Applicants:

Massachusetts Institute of Technology, Cambridge, MA (US);

Basf SE, Ludwigshafen am Rhein, DE;

Inventors:

Michael J. Foshey, Quincy, MA (US);

Timothy P. Erps, Salem, MA (US);

Mina Konakovic Lukovic, Belgrade, RS;

Wojciech Matusik, Lexington, MA (US);

Wan Shou, Allston, MA (US);

Klaus Stoll, Ludwigshafen, DE;

Bernhard Ulrich von Vacano, Ludwigshafen, DE;

Hanns Hagen Goetzke, Ludwigshafen, DE;

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B29C 64/393 (2017.01); C09D 11/101 (2014.01); B29C 64/124 (2017.01); B29C 64/112 (2017.01); B33Y 70/00 (2020.01); G06F 18/2415 (2023.01);
U.S. Cl.
CPC ...
B29C 64/393 (2017.08); B29C 64/112 (2017.08); B29C 64/124 (2017.08); B33Y 70/00 (2014.12); C09D 11/101 (2013.01); G06F 18/24155 (2023.01);
Abstract

Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate optimal material formulations. One portion of the system includes a sample automation system that outputs the material samples to be tested, and a second portion of the system includes an optimization engine that analyzes data extracted from the material samples and generates additional formulations for materials to be printed and tested. This process continues so that optimal material formulations can be determined based on desired mechanical properties of the material to be optimized. The optimization engine can further be capable of predicting results of formulation that have not yet been tested and using those predictions to further drive the next suggested materials to be tested.


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