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Lithium Sulfur Battery Electrode Process

Reference #: 01598 The University of South Carolina is offering licensing opportunities for Lithium Sulfur Battery Electrode Process Background: Sulfur is a promising candidate for next-generation cathodes in Li battery systems. However, modern Li-S cathodes cannot be extensively cycled. Invention Description: The present innovation provides a...

Published: 11/18/2022 | Inventor(s): Golareh Jalilvand, William Mustain, Saheed Lateef, Marjanul Manjum

Keywords(s): Binder, cathode, Dissolution, Electrode, Lithium-Sulfur, Sulfur, Swollen

Category(s): Engineering and Physical Sciences, Energy

Dielectric Barrier Discharge Plasma System for in-situ Hydrogen Peroxide Production

Reference #: 01599 The University of South Carolina is offering licensing opportunities for Dielectric Barrier Discharge Plasma System for in-situ Hydrogen Peroxide Production Background: Most of the hydrogen peroxide (H2O2) vapor generators, which exist in the market merely use flash vaporization of the liquid form of H2O2 to form H2O2 vapor. Some...

Published: 11/18/2022 | Inventor(s): Malik Tahiyat, Tanvir Farouk

Keywords(s): Dielectric barrier discharge plasma, Hydrogen peroxide, Laser-induced fluorescence, OH radicals, photofragmentation laser induced fluorescence

Category(s): Engineering and Physical Sciences

Lebesgue-Sampling-based Deep Learning for Battery Diagnosis and Prognosis

Reference #: 01603 The University of South Carolina is offering licensing opportunities for Lebesgue-Sampling-based Deep Learning for Battery Diagnosis and Prognosis Background: Accurate and efficient modeling of battery degradation is of great challenge and is becoming more and more complex for batteries in modern applications. Traditional degradation...

Published: 11/15/2022 | Inventor(s): Bin Zhang, Guangxing Niu

Keywords(s): Deep belief network, Diagnosis and prognosis, Fault dynamic model, Lebesgue sampling, Lithium-ion battery, Particle filter, Uncertainty management

Category(s): Engineering and Physical Sciences, Energy

Expandable Drone

Reference #: 01604 The University of South Carolina is offering licensing opportunities for Expandable Drone Background: Although many different styles and designs exist, unmanned aerial vehicles (UAVs), commonly referred to as “drones,” meant for consumer and commercial use typically consist of the main body from which multiple rotor...

Published: 10/27/2022 | Inventor(s): Ron Fulbright

Keywords(s): battery-powered drones, drones, heavy-lift drones, modular drones, multirotors, unmanned aerial systems (UASs), unmanned aerial vehicles (UAVs)

Category(s): Engineering and Physical Sciences

Methods and Procedures for Synchronization and Over-the-Air Computation

Reference #: 01615 The University of South Carolina is offering licensing opportunities for Methods and Procedures for Synchronization and Over-the-Air Computation Background: Over-the-air computation (OAC) reduces the communication latency that linearly increases with the number of devices in a wireless network for machine learning applications....

Published: 10/10/2022 | Inventor(s): Alphan Sahin

Keywords(s): federated learning, non-coherent computation, over-the-air computation, software-defined radios, sychronization

Category(s): Software and Computing, Engineering and Physical Sciences

Predicting Railroad Ballast Fouling Conditions Based on Ballast Image

Reference #: 01616 The University of South Carolina is offering licensing opportunities for Predicting Railroad Ballast Fouling Conditions Based on Ballast Image Background: Evaluating railway ballast fouling conditions are critical to assessing track conditions and arranging proper ballast maintenance. The fouled ballast affects the performance...

Published: 10/10/2022 | Inventor(s): Yufeng Gong, Yu Qian

Keywords(s): fouled ballast, fouling severity prediction, image analysis, Railroad, RGB distribution, track maintenance

Category(s): Engineering and Physical Sciences

Compact Reactor System Using High Density Nuclear Fuel

Reference #: 01591 The University of South Carolina is offering licensing opportunities for Compact Reactor System Using High-Density Nuclear Fuel Background: Current micro-reactors require a fuel resupply tail that has proven so costly in numbers of casualties in conflicts over the past two decades or more. Invention Description: The small, safe,...

Published: 9/14/2022 | Inventor(s): Travis Knight, Matthew Diedzic

Keywords(s): advanced nuclear fuel, control drums, high density nuclear fuel, Mobile nuclear micro-reactor, neutron moderator, nuclear fuel cladding

Category(s): Energy, Engineering and Physical Sciences

Methodology and GUI for NDE/SHM using Two-Stage Compressive Sensing

Reference #: 01579 The University of South Carolina is offering licensing opportunities for Methodology and GUI for NDE/SHM using Two-Stage Compressive Sensing Background: Compressive Sensing has been shown to greatly reduce data acquisition and processing burdens by providing mathematical guarantees for accurate signal recovery from far fewer samples...

Published: 9/14/2022 | Inventor(s): Sourav Banerjee, Mustahseen Indaleeb, Shawn Beard, Ritubarna Banerjee

Keywords(s): Compressive Sensing, Data Features, Data Reduction, NDE, SHM, Ultrasonics

Category(s): Engineering and Physical Sciences

Hybrid Rotating Machinery Fault Diagnosis and Prognosis

Reference #: 01570 The University of South Carolina is offering licensing opportunities for Hybrid Rotating Machinery Fault Diagnosis and Prognosis Background: Bearing faults are the top contributor to the failure of rotating machinery systems. In wind energy systems, about 80% of gearbox failures are caused by bearing faults. According to verified...

Published: 9/13/2022 | Inventor(s): Guangxing Niu, Bin Zhang

Keywords(s): Continuous wavelet transform, convolutional neural network, Fault model selection, Particle filter, Rotating machinery systems, STP estimation

Category(s): Engineering and Physical Sciences

Self-biased 4H-SiC MOS devices for radiation detection

Reference #: 01614 The University of South Carolina is offering licensing opportunities for Self-biased 4H-SiC MOS devices for radiation detection. Background: 4H-Silicon Carbide has a unique combination of physical properties such as excellent carrier transport properties, high breakdown voltage, high displacement threshold, high thermal conductivity,...

Published: 9/6/2022 | Inventor(s): Krishna Mandal, Sandeep Chaundhuri

Keywords(s): Epitaxial layers, MOS devices, pulsed laser deposition, radiation detectors, silicon carbide (4H-SiC), yttrium oxide (Y2O3)

Category(s): Energy, Engineering and Physical Sciences, Environmental and Sustainability

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