Patents by Inventor Timothy P. Erps

Timothy P. Erps has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230364863
    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.
    Type: Application
    Filed: July 24, 2023
    Publication date: November 16, 2023
    Inventors: Michael J. Foshey, Timothy P. Erps, Mina Konakovic Lukovic, Wojciech Matusik, Wan Shou, Klaus Stoll, Bernhard Ulrich von Vacano, Hanns Hagen Goetzke
  • Patent number: 11752700
    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.
    Type: Grant
    Filed: October 1, 2020
    Date of Patent: September 12, 2023
    Assignees: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: Michael J. Foshey, Timothy P. Erps, Mina Konakovic Lukovic, Wojciech Matusik, Wan Shou, Klaus Stoll, Bernhard Ulrich von Vacano, Hanns Hagen Goetzke
  • Publication number: 20210095141
    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.
    Type: Application
    Filed: October 1, 2020
    Publication date: April 1, 2021
    Inventors: Michael J. Foshey, Timothy P. Erps, Mina Konakovic Lukovic, Wojciech Matusik, Wan Shou, Klaus Stoll, Bernhard Ulrich von Vacano, Hanns-Hagen Goetzke