Company patents
FUZHOU UNIVERSITY
FU ZHOU UNIVERSITY's patent strategy reveals a surprising focus on materials science, with Catalysts & Reactors representing the largest share at 12.8% of its portfolio, despite a significant decline of 60.0% in 2026 so far. While there's a general trend of fluctuating patenting activity across categories, the university shows a shifting priority away from LED & Optoelectronics (Legacy CPC), which saw a 100.0% decline in 2026, and a notable decline in Multi-Chip & 3D Assemblies, down 66.7% 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.
117 US filings (since 2023) · 12 categories · 25 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.
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.
Catalytic processes and novel catalyst materials designed to efficiently produce hydrogen gas from various feedstocks, including hydrocarbons (e.g., methane, natural gas) and ammonia.
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.
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.
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.
Methods for treating solid or semi-solid waste (sludge, litter, industrial byproducts) from water treatment processes, often with a focus on reducing volume, detoxifying, or recovering valuable resources like energy (biogas), chemicals, or materials.
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.
Systems and methods for automatically deploying, configuring, and updating network devices and services, including software updates, client onboarding, and topology management across various network types.
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.
Processes that use strong oxidants, electrochemical methods, sonic waves, or other energy-intensive techniques to break down organic pollutants, disinfect water, or facilitate contaminant separation.
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.
Techniques and systems for reducing energy consumption in computer networks while maintaining or improving performance, often involving predictive modeling, simulation, and dynamic adjustments to network infrastructure.
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 1-10 of 156