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A Low-cost, Nano-engineered and Highly-efficient Catalyst for Hydrogen Fuel Production
Title: Breakthrough Silver-Based Catalyst Delivers Platinum-Level Performance for Hydrogen Generation – Without the Platinum Price Tag… moreTitle: Breakthrough Silver-Based Catalyst Delivers Platinum-Level Performance for Hydrogen Generation – Without the Platinum Price Tag This invention introduces a cost-effective, nano-engineered silver catalyst that achieves platinum-level hydrogen evolution performance in acidic media, with ~40× lower material cost and scalable synthesis. Background: Hydrogen generation through electrochemical water splitting is a key technology for the clean energy economy, but current platinum-based catalysts are prohibitively expensive and difficult to scale. Alternative catalysts often lack efficiency, degrade in acidic conditions, or require complex synthesis processes. The demand for an economical, stable, and scalable catalyst capable of high-performance hydrogen evolution is critical to enable cost-effective industrial deployment for transportation, energy storage, and clean fuel infrastructure. Technology Overview: This invention provides a nano-engineered silver-based catalyst synthesized via a simple aqueous process with polyacrylic acid (PAA) coating, followed by antisolvent precipitation. The resulting nanoparticles (under 10 nm) undergo thermochemical activation in hydrogen at 400°C, inducing lattice strain and exposing the (200) crystal facet for optimized hydrogen adsorption. The catalyst demonstrates an exceptionally low overpotential of 30 mV at 10 mA/cm²—surpassing platinum benchmarks—while maintaining structural stability. It can be formulated into nanoinks and pastes for flexible integration into electrodes and membrane–electrode assemblies (MEAs). Advantages: • Material cost ~40× lower than platinum-based catalysts • Achieves overpotential of 30 mV at 10 mA/cm² in acidic media • Enhanced catalytic activity from lattice strain and crystal facet control • Thermochemical activation significantly boosts HER efficiency • Scalable synthesis using simple aqueous chemistry and antisolvent precipitation • High structural stability compared to bulk silver or unsupported nanoparticles • Formulatable into nanoinks or pastes for direct electrode/MEA applications Applications: • Large-scale industrial hydrogen production via electrolysis • On-site hydrogen generation for clean fueling stations • Reversible fuel cells supporting renewable energy storage and microgrids • Low-cost, high-efficiency electrolyzers for energy infrastructure • Replacement for platinum catalysts in acidic-electrolyte hydrogen systems Intellectual Property Summary: • US Provisional Patent Application 63/324,338 – Filed March 28, 2022 • US Utility Patent Application 18/102,391 – Filed January 27, 2023 • US Published Application 2023-0304175 A1 – Published September 28, 2023 Stage of Development: Prototype – Catalyst has been synthesized at laboratory scale, with validated HER performance under acidic conditions. TRL ~4–5. Licensing Status: This technology is available for licensing. Licensing Potential: This invention offers significant commercial opportunity for electrolyzer and fuel cell manufacturers seeking to reduce reliance on platinum, lower system costs, and expand adoption of green hydrogen technologies across energy, transportation, and industrial markets. Additional Information: High-resolution microscopy images, electrochemical performance plots, and catalyst synthesis details available upon request. Inventors: Shan Wang, Chuan Jian Zhong less |
Primary:
Research Foundation of SUNY
Date posted: Aug 30, 2025 |
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Synthesis Approach for Preparing Facet-Tailored Mn-Based Spinel Nano-octahedra as the Enhanced Non-PGM Electrocatalysts toward ORR in Alkaline Media
Title: One-Pot Wonder. Precision-Crafted Nanocrystals, The Power of Platinum Without the Price. This invention introduces… moreTitle: One-Pot Wonder. Precision-Crafted Nanocrystals, The Power of Platinum Without the Price. This invention introduces a one-pot synthesis of Mn-based spinel nanocrystals with {101} facets, delivering high ORR efficiency and durability as a cost-effective, non-platinum catalyst for fuel cells. Background: Platinum-based catalysts dominate proton exchange membrane (PEM) fuel cells but are costly and scarce. Alkaline fuel cells provide an alternative pathway, yet their development is constrained by the lack of effective, low-cost oxygen reduction reaction (ORR) catalysts. Existing non-PGM catalyst synthesis methods often yield irregular particle shapes with poor facet exposure, leading to low activity and scalability issues. A new catalyst solution that combines precise facet control, high activity, and cost-effectiveness is critical for advancing alkaline fuel cells and energy storage technologies. Technology Overview: This invention introduces a one-pot colloidal synthesis method to create uniform ~9 nm octahedral nanocrystals of CoMn₂O₄ or CuMn₂O₄ spinels. Using chloride-based precursors (CoCl₂·6H₂O or CuCl₂·2H₂O) with manganese acetate, oleylamine, oleic acid, and xylene, rapid water injection at 90°C triggers controlled nucleation and facet-specific growth. The resulting nanocrystals expose exclusive {101} facets, which are highly active for electron transfer. After annealing, these nanocrystals demonstrate high ORR activity, long-term stability, and mass activity approaching platinum benchmarks, making them scalable and cost-effective alternatives to platinum catalysts. Advantages: • Achieves high ORR mass activity (~60.0 A/g), outperforming nanosphere variants • Exclusively exposed {101} facets optimize electron transfer kinetics • Significantly lower material cost using abundant Co, Cu, and Mn oxides • Facile, scalable one-pot synthesis process • High durability with minimal E½ decay after 10,000 cycles • Improved reaction kinetics with low Tafel slope (~42.1 mV/decade) Applications: • High-performance alkaline fuel cell cathodes • Electrodes for rechargeable zinc-air batteries • Catalysts for industrial alkaline electrocatalytic processes • Large-scale non-PGM catalyst production for energy storage systems Intellectual Property Summary: • US Provisional Application 63/310,230 – Filed February 15, 2022 • US Utility Application 18/081,485 – Filed December 14, 2022 • US Published Application 2023-0261211 A1 – Published April 23, 2023 Stage of Development: Prototype – Synthesis method and catalyst performance validated at lab scale with demonstrated ORR efficiency and durability in alkaline systems. TRL ~4. Licensing Status: This technology is available for licensing. Licensing Potential: This invention is an attractive alternative for companies developing alkaline fuel cells, zinc-air batteries, and large-scale electrocatalytic systems, offering platinum-level performance at a fraction of the cost. Additional Information: Performance data, structural characterization, and long-term ORR cycling test results available upon request. Inventors: Jiye Fang, Ming Zhou less |
Primary:
Research Foundation of SUNY
Date posted: Aug 30, 2025 |
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Machine Learning Diagnosis of In Vivo Tissues by Extracting Tissue-Energy Characteristic Features from Non-Invasively Acquired Computed Tomographic Data
The technology features enable ML models to more accurately classify indeterminate pulmonary nodules and colorectal… more The technology features enable ML models to more accurately classify indeterminate pulmonary nodules and colorectal polyps Background: Computed tomography (CT) is a widely used imaging tool for early detection of cancers such as lung and colorectal cancer. However, current low-dose CT screening protocols suffer from high false positive rates, particularly in the classification of indeterminate lesions (IDLs), which often lead to costly and invasive follow-up procedures. This challenge stems in part from the way CT images are generated—averaging tissue responses over a broad X-ray energy spectrum— resulting in loss of diagnostic detail. Existing machine learning (ML) approaches have not substantially improved diagnostic accuracy, in part because they overlook critical prior knowledge about how different tissues uniquely respond to varying X-ray energies. There remains a need for more precise, non-invasive diagnostic tools that can reduce false positives (FPs) and better distinguish malignant from benign lesions in CT screening data. Technology Overview: This technology decomposes poly-energetic CT images into mono-energetic tissue distribution maps (MTMs) and extracts tissue elasticity measures at each energy level to create tissue-energy characteristic features. These features enable ML models to more accurately classify indeterminate pulmonary nodules and colorectal polyps from low-dose CT screening data, surpassing current diagnostic methods by significantly improving the area under the receiver operating characteristic curve (AUC) from the 0.60-0.80 range to the 0.90s. This approach addresses the limitations of traditional CT imaging that averages tissue responses across a wide X- ray energy spectrum, thereby enhancing early cancer detection and reducing FPs in lung and colorectal cancer screening. Advantages: Incorporates prior knowledge of tissue-specific responses to different X-ray energies for improved feature extraction. - Generates mono-energetic tissue distribution maps or MTMs to capture energy-sensitive tissue characteristics. - Utilizes tissue elasticity measures as biological discriminative features for classification of lesion malignancy. - Eliminates redundancy while integrating the biological discriminative features from different individual energy levels to achieve the highest AUC. - Significantly boosts diagnostic accuracy with AUC improvements into the 0.90s for IDLs. - Reduces false positive rates in low-dose CT cancer screening, potentially lowering unnecessary follow-up procedures. - Applicable to challenging indeterminate lesions that are difficult to diagnose using conventional methods. Applications: Early detection and diagnosis of lung cancer through improved low-dose CT screening. - Colorectal cancer screening with enhanced lesion malignancy prediction. - Medical imaging diagnostic tools integrating machine learning for cancer lesion classification. - Healthcare providers aiming to reduce false positives and improve patient management in cancer screening programs. - Development of advanced AI-driven radiology software solutions. Intellectual Property Summary: Patent application submitted. Stage of Development: In Vivo Licensing Potential: Development partner - Commercial partner - Licensing Licensing Status: Available for licensing cancer, cancer detection, cancer screening, colorectal, colorectal cancer, computed tomography, ct imaging, diagnosis, diagnostic, diagnostic tool, distribution maps, early detection, elasticity, extract, extraction, feature extraction, fps, imaging tools, lesions, loss, lung cancer, lungs, machine learning, malignancy, management, map, medical imaging, non-invasive, patient management, polyp, prediction, program, protocol, radiology, radiology software, receiver, screening, software, software solutions, spectrum, tomography, x-ray. https://stonybrook.technologypublisher.com/files/sites/9396-image1.jpg Gorodenkoff, https://stock.adobe.com/uk/226212015, stock.adobe.com less |
Primary:
Research Foundation of SUNY
Date posted: Aug 29, 2025 |
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LNP + Squeeze: Enhancing Chimeric Antigen Receptor T-Cell Generation via Mechanoporation and Lipid Nanoparticles
Synergistic combination of mechanoporation and lipid nanoparticle (LNP) based transfection for an efficient, non-viral method … moreSynergistic combination of mechanoporation and lipid nanoparticle (LNP) based transfection for an efficient, non-viral method of gene transfer to generate CAR-T cell therapies.
Stage of Development:
Reference Media:
Desired Partnerships:
Docket #25-10960 less |
Primary:
University of Pennsylvania
Date posted: Aug 29, 2025 |
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In situ gel vehicle for ophthalmic drug delivery
Polymer compositions were screened with amplitude oscillation and show synergistic effects with simulated tear fluid
Polymer compositions were screened with amplitude oscillation and show synergistic effects with simulated tear fluid
Effective ophthalmic drug delivery remains a significant challenge due to the eye’s natural defense mechanisms, including blinking, tear turnover, and nasolacrimal drainage, which rapidly clear topically applied medications. While in situ gelling systems have been explored to address this issue, many rely on external triggers such as temperature or pH changes that may fail to form robust gels under physiological conditions. Therefore, there is a need for a reliable delivery system that enhances ocular residence time and can support sustained drug release.
Researchers at Rutgers have developed ocular drug delivery vehicles (ODDVs) composed of gellan gum with either hyaluronic acid or carrageenan (i.e., GG, HA, and CG in above figure). Upon contact with the eye’s natural tear film, the formulation undergoes gelation without requiring external stimuli, forming a strong, stable gel that adheres to the ocular surface, supporting prolonged residence time and the potential for reduced dosing frequency. The system is compatible with a range of therapeutics and may be used to treat conditions such as dry eye, glaucoma, bacterial conjunctivitis, and ocular hypertension.
Market Applications: Advantages: Intellectual Property & Development Status: Provisional application filed. Patent pending. Available for licensing and/or research collaboration. For any business development and other collaborative partnerships, contact: marketingbd@research.rutgers.edu |
Primary:
Rutgers University
Date posted: Aug 29, 2025 |
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Reduction of Lipid Accumulation Reverses Aging
Therapeutic strategy to treat age-related cardiovascular disease and restore cardiovascular function through maintenance of lipid… moreTherapeutic strategy to treat age-related cardiovascular disease and restore cardiovascular function through maintenance of lipid homeostasis. Background: Age is a key risk factor for cardiovascular disease such as atherosclerosis, which is characterized by endothelial dysfunction, extracellular matrix remodeling, lipid accumulation, chronic inflammation and increased ferroptosis. However, there is currently no effective therapeutic that directly targets the cellular and metabolic drivers of vascular aging. Most interventions delay progression but do not reverse the aging phenotype at the molecular level. This technology offers a therapeutic strategy to treat age-related cardiovascular disease and restore cardiovascular function. Technology Overview: This University at Buffalo technology uncovers a previously unrecognized regulator of vascular aging. Loss of molecular expression in aged vascular cells is associated with impaired lipid oxidation, excessive lipid accumulation and increased ferroptosis. Knockdown models in young endothelial cells (EC) and vascular smooth muscle cells (VSMC) induced hallmark features of aging, including DNA damage, impaired proliferation, and ferroptotic stress. These mice show symptoms of premature aging, including progressive weight loss, abnormal posture and marked curvature of the spine and significantly shorter life-span (103 days as compared to more than 2 years for the wild-type mice). They also exhibit significant cardiovascular problems and accelerated skeletal muscle aging. Therapeutic treatment successfully restored lipid homeostasis, suppressed ferroptosis and reversed age-related hallmarks, such as expression of senescence-associated beta-galactosidase, decreased DNA damage, decreased inflammation, and improved overall function in both in vitro and in vivo models. Furthermore, studies observed significantly improved extracellular matrix (ECM) integrity and arterial endothelial function. This technology provides a therapeutic agent for age-related cardiovascular disease through restoration of vascular lipid homeostasis. https://buffalo.technologypublisher.com/files/sites/7690_in-part_image.jpg Source: Rasi, https://stock.adobe.com/uk/305362371, stock.adobe.com Advantages:
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Primary:
Research Foundation of SUNY
Date posted: Aug 27, 2025 |
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Cubic Boron Nitride Inserts for Iron Based Workpieces
Executive Summary Compacted graphite iron (CGI) has recently been gaining more attention due to its … moreExecutive Summary Compacted graphite iron (CGI) has recently been gaining more attention due to its superior mechanical properties over the currently more popular flake graphite iron (FGI), aka gray cast iron. However, the poor machinability has prevented CGI to be used in a wider range of potential applications. Researchers at Michigan State University have recently developed a new insert that allows high speed cutting of CGI materials with low tool wear.
Description of the Technology The technology is a method of method for machining an iron-based workpiece involving an insert comprised of cubic boron nitride and binder, where the binder contains at least at least one of alumina (Al2O3) and a manganese material and zirconia (ZrO2).
Benefits
Applications
Patent Status Issued US Patent US 12,194,546
Publications “Formation mechanism of alumina layer in protecting cubic boron nitride inserts in turning cast irons”, International Journal of Machine Tools and Manufacture, 2020
Licensing Rights Full licensing rights available
Inventors
TECH ID TEC2020-0124 less |
Primary:
Michigan State University
Date posted: Aug 27, 2025 |
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Point of Care Ultrasound (POCUS) Real-Time 3D or Multi-Plane 2D Ultrasound Imaging
Based on Bessel or Focused Beam Steered by a Reflector Driven by Electromagnets or Micro-Motors
Project ID: TECH-2025-34 Background: Despite that there are many companies that develop POCUS devices, many … moreProject ID: TECH-2025-34 Background: Despite that there are many companies that develop POCUS devices, many have so many problems with good images, short battery life, heating issues and no 3D images. Traditionally, a one-dimensional (1D) array transducer is used for two-dimensional (2D) imaging, where the transducer and its cable are heavy and bulky, and only a single slice of an image of the heart can be acquired at each transducer position. Although a 2D array transducer can be used to acquire three-dimensional (3D) images, it is heavier and bulkier. Considering the importance of accuracy within medical diagnostic tools, there is a pressing need for novel technologies to improve imaging systems, but also for other needs of medical ultrasound imaging. This invention provides such tools that are high-quality at a low cost. Invention Description: Applications:
Advantages:
IP Status: Patent Pending Publication: Jian-yu Lu, "Producing Bessel beams with an RF transformer," IEEE TechRxiv, August 2, 2025; https://doi.org/10.36227/techrxiv.174320117.75715491/v2 Key Words: Transducer, Imaging, Ultrasound, Echocardiogram, Wearable, Portable, Real-Time, 3D, --------------------------------------------------------------------------------------------------------------------------------------------------------------------- TRANSFORMER-BASED BESSEL BEAM (POCUS) ULTRASOUND IMAGING SYSTEM less |
Primary:
University of Toledo
Date posted: Aug 26, 2025 |
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Systems and Methods for Producing Reconfigurable Non-Volatile Acoustic Devices
This innovation introduces a new class of fully reconfigurable, non-volatile acoustic devices that utilize phase change … moreThis innovation introduces a new class of fully reconfigurable, non-volatile acoustic devices that utilize phase change materials (PCMs) to create tunable patterns for controlling acoustic wave propagation. Unlike traditional acoustic components, which are fixed in function due to static material properties, this technology enables endless reconfiguration of functionality within a single device without the need for continuous power input. Leveraging PCMs that switch between two solid phases with significantly different mechanical properties, these devices allow for persistent, reversible structural changes that alter how sound travels through them.
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Primary:
University of Arizona
Date posted: Aug 26, 2025 |
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Topological Acoustics based Radio Frequency Surface Acoustic Wave Devices
This invention proposes a sound-acoustic wave (SAW) device that integrates topological acoustics and phase change materials … moreThis invention proposes a sound-acoustic wave (SAW) device that integrates topological acoustics and phase change materials to enable a new generation of reconfigurable SAW devices. The purpose of these devices is to enhance the high quality factor using the footprints of existing devices, but without sacrificing transmittivity. This invention integrates several technologies, including fabrication of SAW devices, laser-rewritable phase change materials, and acoustic superlattice/phononic crystals supporting topological waves that have not yet been reported for the development of devices with applications in the telecommunication industry.
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Primary:
University of Arizona
Date posted: Aug 26, 2025 |