Advanced Materials
The ceramic-cement-oxide mixed mortar presents a unique solution as it conserves energy and efficiently transfers thermal energy towards heating flooring unidirectionally. This material prevents more than 90% energy loss compared to traditional mortar materials, gypsum, or other insulation materials
Inventor: M.Z. Naser, PhD
Published: 10/24/2023
Sustainable Energy, Manufacturing
This source-agnostic time domain distance relay uses only single-ended measurements to detect, classify, and locate any fault on the line it monitors while eliminating known weaknesses of distance relays. Recent advances in renewable energy technology allow several hundred megawatts of power to be in a single plant and connect to the electric grid through inverters. All major renewable resources, such…
Inventor: Sukumar Brahma, Prabin Adhikari, and Phani
Harsha Gadde
Published: 2/21/2023
Fiber and Films, Manufacturing, Advanced Materials
Semiconductor optical fibers marry the enablement of modern electronic devices of semiconductors with the light-guiding capability of fiber optics. Combining these attributes allows for the desirable material properties of important semiconductor phases in the form of long lengths of fiber. Semiconductor optical fibers are made using one of two approaches: the molten core method and a chemical vapor deposition method….
Inventor: John Ballato, Thomasina Zaengle, Baris Kukuoz, Ursula Gibson
Published: 5/23/2022
Manufacturing, Biotechnology
This patient risk-assessment machine learning algorithm predicts patient response to cardiac resynchronization therapy (CRT) intervention enabling more informed selection criteria and improved rates of therapy success. Approximately 90,000 patients receive cardiac resynchronization therapy per year, with only 50% of that population benefitting. This directly results from the uncertainties surrounding which patients will actually benefit from the procedure. Providing insights into…
Inventor: Will Richardson, Anamul Haque, William Douglas Stubbs Jr.
Published: 5/23/2022
Manufacturing
This failure methodology utilizes purposeful generation of labeled failure mode datasets via surrogate purposeful failure twin (SPFT) simulations. Machine learning powered performance analysis, predictive maintenance, and production management capable of reducing unexpected failure and unnecessary downtime are enabled via this innovation. This technology revolutionizes the manufacturing operations management (MOM) system market, which currently suffers from a gap in the availability…
Inventor: Ethan Wescoat, Laine Mears
Published: 3/13/2022
