Company patents
DALIAN UNIVERSITY OF TECHNOLOGY
DALIAN UNIVERSITY OF TECHNOLOGY's patent strategy shows a surprising shift away from several computing and materials categories, with significant declines in areas like Electronic Design Automation (CAD/EDA) (-45.5% YoY in 2025) and Image Processing (-64.3% YoY in 2025), despite these still representing 8.1% and 8.4% of its portfolio, respectively. While Catalysts & Reactors saw a massive 200.0% YoY growth in 2024, its subsequent sharp decline (-77.8% YoY in 2025) suggests a fluctuating focus rather than sustained emerging priority, and patenting activity across most categories appears to be slowing down significantly in 2026, though data for this year is partial.
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.
430 US filings (since 2023) · 12 categories · 32 themes
Using computational design and simulation to optimize the performance characteristics of specific components or materials within a larger engineering system.
Techniques and hardware for autonomous systems to gather and interpret data about their surroundings, including obstacle detection, object recognition, and depth estimation, to inform control decisions.
Systems and methods for real-time sensing, modeling, and closed-loop control of additive manufacturing parameters to ensure part quality, consistency, and process efficiency. This includes thermal management, atmospheric regulation, and precise material deposition.
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.
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.
Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.
Computational methods and design principles for generating optimized geometries, internal structures (e.g., lattices, minimal surfaces), or functional features that are specifically enabled or enhanced by the capabilities of additive manufacturing.
Technologies and systems for removing unwanted components or separating desired gases from a mixed gas stream, including adsorption, absorption, and membrane-based methods.
Membrane-based separation for water purification, contaminant removal, desalination, and wastewater treatment, including reverse osmosis, ultrafiltration, and forward osmosis modules.
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.
Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.
Technologies enabling automated operation, path planning, obstacle detection, and precise motion control for surface and underwater vehicles, often involving sensors and controllers.
Techniques for building three-dimensional metal objects layer-by-layer using metal powders, including powder bed fusion, binder jetting, and directed energy deposition. This theme encompasses process mechanics, equipment design, and operational control for AM systems.
Engineering solutions for the structural design, stability, and motion control of floating or fixed offshore platforms, including those for renewable energy installations.
Design and mechanisms for reconfigurable or adjustable components of a vessel's hull, sponsons, or deck to optimize performance, space, or functionality.
Utilizing sensor data, historical performance, and analytical models to anticipate equipment failures, diagnose faults, and estimate remaining useful life, thereby enabling proactive maintenance and reducing downtime.
Systems and methods for real-time assessment of mooring line tension, anchor chain status, and associated risks for floating vessels and offshore structures.
Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.
Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.
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.
Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.
Engineering approaches to improve the efficiency, control, and performance of chemical reactors, encompassing continuous processes, heat exchange integration, and specialized reactor configurations for various chemical transformations.
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.
Membrane and depth filtration for industrial separation, gas purification, and bioprocess clarification including cross-flow, dead-end, tangential flow filtration, and oil/water separation.
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.
Formulated liquid compositions designed for specific industrial applications, such as non-flammable cleaning, thermal management in electronics, or as low-viscosity, high-flash-point base fluids.
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.
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.
Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.
Creating virtual models (digital twins) of complex physical systems to simulate their behavior, predict performance, validate designs, or guide operations under various conditions.
Development and optimization of organic chemical compounds and their structures, including guest-host systems and metal complexes, used within the emission layer to achieve specific light emission characteristics such as color, efficiency, and operational lifetime.
Mixtures of liquid crystal compounds and other additives, such as monomers or carbon black, designed to achieve specific optical, electrical, or physical properties for use in liquid crystal displays (LCDs) or other electro-optical devices.
Patents
Showing 1-10 of 36
Component Performance Optimization