Company patents
FUZHOU UNIVERSITY
FUZHOU UNIVERSITY's patent strategy reveals a surprising focus on materials science, with Catalysts & Reactors representing 13.0% of its portfolio, despite a significant 60.0% decline in patenting activity so far in 2026. While LED & Optoelectronics (Legacy CPC) saw a complete cessation of patenting in 2026, the university is showing an emerging focus on Separation Processes (Filtration, Distillation), with a 33.3% year-over-year growth in 2026.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
123 US filings (since 2023) · 12 categories · 27 themes
Methods and structures for mass-producing and assembling arrays of micro-LEDs onto a substrate, including transfer processes, bonding techniques, and defect management.
Development of materials with tailored porosity, surface chemistry, or structure, such as metal-organic frameworks (MOFs), zeolites, or superficially porous particles, for selective adsorption, ion exchange, or chromatographic separations.
Development and optimization of the semiconductor material layers and their interfaces within an LED to control light emission properties, manage internal stress, and improve device efficiency.
Catalytic processes and novel catalyst materials designed to efficiently produce hydrogen gas from various feedstocks, including hydrocarbons (e.g., methane, natural gas) and ammonia.
Development and synthesis of catalysts with unique compositions or structures, such as medium entropy alloys, metal foam-supported catalysts, layered catalytic articles, or high-entropy oxides, to enhance activity, selectivity, or stability in chemical reactions.
Automated methods and tools for generating, optimizing, and verifying the physical layout and interconnections of electronic components, including integrated circuits, printed circuit boards, and system-level interface protection.
Systems and methods for producing fuels, such as Sustainable Aviation Fuel (SAF), or hydrogen with a reduced carbon intensity, often leveraging alternative feedstocks, Fischer-Tropsch synthesis, or integrated energy recovery.
Specific techniques and materials developed to remove persistent or difficult-to-treat pollutants from water, such as per- and polyfluoroalkyl substances (PFAS), micropollutants, or specific industrial chemicals.
Synthesis and processing of silicon and silicon carbide materials in various forms (e.g., particles, nanowires, films) for applications beyond traditional semiconductors, such as battery components, refractories, or advanced electronics.
Chemical processes that utilize hydrogen to remove impurities like sulfur, nitrogen, and oxygen from hydrocarbon feedstocks, or to saturate aromatic compounds, often employing specific catalysts and process conditions.
Processes and reactor designs for breaking down heavier hydrocarbon feedstocks into lighter, more valuable products using catalysts, including methods for regenerating spent catalysts through coke burning or other means.
Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.
Systems and methods that use imaging technologies, computer vision, and augmented reality to provide real-time guidance, localization, and visualization during surgical procedures or for detailed anatomical assessment.
Focuses on the mechanical design, articulation, and actuation of hand-held or robotic surgical instruments, including improvements in stapling, cutting, grasping, and tissue manipulation.
Technologies and systems for removing unwanted components or separating desired gases from a mixed gas stream, including adsorption, absorption, and membrane-based methods.
Technologies and materials for capturing carbon dioxide from gas streams and subsequently converting it into valuable chemical products or materials, rather than simply storing it.
Technologies focused on converting waste plastics, residual polymers, or aromatic waste streams into valuable hydrocarbon liquids, gases, or chemical feedstocks through thermal or catalytic pyrolysis, followed by upgrading and separation processes.
Using computational design and simulation to optimize the performance characteristics of specific components or materials within a larger engineering system.
Additives or compositions specifically formulated for surface application or modification to impart protective, decorative, or specialized functional properties to polymer products.
Computational methods for modeling and simulating photolithography processes, including mask design, aerial image generation, and defect prediction for semiconductor manufacturing.
Polymer compositions incorporating inorganic or organic filler materials to impart specific functional properties such as thermal conductivity, flame retardancy, electrical conductivity, or enhanced mechanical strength and dimensional stability.
Membrane-based separation for water purification, contaminant removal, desalination, and wastewater treatment, including reverse osmosis, ultrafiltration, and forward osmosis modules.
Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.
Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.
Specialized design and fabrication of light-emitting diodes specifically engineered to produce light in the deep ultraviolet (DUV) spectrum, often for applications like sterilization or curing.
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
Techniques for combining and analyzing information from multiple distinct data modalities (e.g., text, image, video, audio, sensor data) to derive richer insights or improve system performance and decision-making.
Patents
Showing 1-3 of 3
Federated & Distributed ML