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- High sensitivity and wide dynamic range compliant load cell with adjustable stiffness
This invention introduces a compact flexure pivot system enabling highly sensitive force, torque, and acceleration measurements with adjustable stiffness, including bistable states. Its three-flexure suspension design ensures precision, stability, and minimal mechanical stress, making it ideal for metrology, MedTech, robotics, aerospace, and MEMS applications.
- New light-emitting semiconductor quantum dots
Innovative synthetic method enhances halide perovskite nanocrystals by precisely controlling size and metal dopant concentration, addressing challenges in stability and uniformity. The breakthrough enables tunable optical properties, making it ideal for LEDs, photodetectors, sensors, nanoscale magnets, and quantum technologies.
- Polarization spectroscopy apparatus
Spectroscopy apparatus that overcomes sensitivity, resolution, and time accuracy limitations in circularly polarized light analysis. By integrating wave plates, polarization beam splitters, and a time-gated CCD chip, it achieves nanosecond time resolution, broadband spectral detection, and 10⁻⁴ polarization accuracy. Ideal for drug development, nanomaterials, pollutant detection, and OLED technology.
- Multiple frequency inductive link to wirelessly power miniaturized implants
This multi-frequency wireless power system enhances energy transfer efficiency for sub-millimeter neural implants using intermediate resonator coils. It minimizes power loss, EMI, and tissue absorption, enabling simultaneous power supply to multiple implants while meeting safety standards. Applications include neurostimulation, brain-machine interfaces, prosthetics, and implanted diagnostics.
- Co-generation of fuels and carbonates from CO2 and H2O co-electrolysis
AEM-based co-electrolyzer that converts CO₂ and water into syngas and synthetic natural gas (SNG) at low temperatures, enhancing efficiency, stability, and CO₂ storage. Ideal for renewable energy integration and industrial carbon management.
- Double multiplication region method for SPAD development
This n-p-n-p junction SPAD enhances NIR photon detection with a wide depletion region and double multiplication regions, improving sensitivity while reducing excess bias voltage requirements. CMOS-compatible and cost-effective, it is ideal for LiDAR, optical tomography, fiber optic communications, and photon-counting applications.
- Ultraflexible flow directed device
Using blood flow for propulsion and a magnetic tip for precise control, this ultra-flexible, minimally invasive catheter navigates complex vascular pathways safely and efficiently. Ideal for minimally invasive surgeries, diagnostics, targeted drug delivery, and vascular research.
- Electronic metastructures and metadevices
Leveraging electromagnetic field manipulation instead of traditional electron flow, these electronic metadevices overcome semiconductor limitations, achieving cutoff frequencies over 10 THz, picosecond switching speeds, and high breakdown voltages. Compatible with CMOS, wide-bandgap, and 2D materials, they enable ultrahigh-speed communications, terahertz imaging, and advanced power electronics.
- Robotic system for cervical spine rehabilitation exercises
This adaptive rehabilitation device actively supports proper posture and safe movements during cervical spine exercises. Using contact sensors and machine learning, it provides real-time feedback, personalized adjustments, and remote monitoring via smartphone or cloud connectivity. Ideal for cervical spine rehabilitation, posture correction, and muscle training.
- Bodily implantable CMOS-compatible microelectrodes
This CMOS-based neural interface integrates microelectrodes and electronics into a single structure, enhancing mechanical stability, reproducibility, and scalability. It eliminates manual alignment errors while supporting customizable, multichannel configurations. Ideal for neurostimulation, brain-machine interfaces, prosthetics, and implantable diagnostics.
- Reconfigurable devices for ultrasound signal interpretation
This device generates realistic ultrasonic datasets by simulating mechanical variations or modifying industrial products for testing. It enhances damage detection, material differentiation, and machine learning validation across industries like aerospace, automotive, and healthcare.
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