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Superconducting Diodes for Qubit Readout (Case No. 2026-079)
Summary: UCLA researchers led by Professor Pri Narang have developed a fully superconducting, on-chip readout architecture that improves signal fidelity and limits backpropagation in quantum processors Background: Superconducting quantum processors can perform complex calculations orders of magnitude quicker than classical computers. Current superconducting...
Published: 2/24/2026
|
Inventor(s):
Prineha Narang
,
Arpit Arora
,
Nicolas Dirnegger
Keywords(s):
Category(s):
Electrical
,
Electrical > Quantum Computing
,
Electrical > Signal Processing
,
Electrical > Sensors
,
Electrical > Instrumentation
,
Electrical > Computing Hardware
,
Materials
,
Materials
> Fabrication Technologies
,
Materials
> Functional Materials
,
Materials
> Semiconducting Materials
Diamond Needle Insertion Technique for High Thermal Conductivity Through-Glass Vias (TGVS) Interposers (Case No. 2026-157)
Summary: UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a novel method for producing electrically insulating, high–thermal conductivity through-glass vias. Background: Advanced semiconductor systems rely on 3D integrated circuits (3DICs) to meet rising demands for higher performance, reduced form...
Published: 2/20/2026
|
Inventor(s):
Tiwei Wei
Keywords(s):
3D integrated circuits (3DIC)
,
advanced semiconductor packaging
,
artificial intelligence accelerators
,
Composite Material
,
copper electroplating
,
cubic-octahedral diamond
,
diamond composites
,
diamond metallization
,
Doping (Semiconductor)
,
Electronics & Semiconductors
,
ferromagnetic semiconductor
,
Functional
Materials
,
functional/composite
materials
,
glass interposers
,
high-performance computing
,
Microelectronics Semiconductor Device Fabrication
,
microfabrication
,
Organic Semiconductor
,
physical vapor deposition (PVD)
,
Semiconductor
,
semiconductor chip foundries
,
Semiconductor Device
,
Semiconductor Device Fabrication
,
Semiconductor Ohmic Contact
,
Semiconductor Risk Assessment
,
Semiconductor Sapphire
,
Semiconductors
,
silicon interposers
,
thermal bottleneck
,
through-glass vias (TGVs)
Category(s):
Materials
,
Materials
> Composite Materials
,
Materials
> Functional Materials
,
Materials
> Semiconducting Materials
,
Materials
> Metals
,
Materials
> Nanotechnology
,
Electrical
,
Electrical > Electronics & Semiconductors
Through-Glass Vias (TGVS) Thermal Management Using Diamond-Assisted Copper Metallization for Advanced 3DIC Packaging (Case No. 2026-156)
Summary: UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a novel approach to enhance the thermal performance of through-glass vias for advanced semiconductor packaging. Background: Advanced semiconductor systems rely on 3D integrated circuits (3DICs) to meet rising demands for higher performance, reduced...
Published: 2/23/2026
|
Inventor(s):
Tiwei Wei
,
Ye Yang
Keywords(s):
3D integrated circuits (3DIC)
,
advanced semiconductor packaging
,
artificial intelligence accelerators
,
copper electroplating
,
cubic-octahedral diamond
,
diamond composites
,
diamond metallization
,
Doping (Semiconductor)
,
Electronics & Semiconductors
,
ferromagnetic semiconductor
,
functional/composite
materials
,
glass interposers
,
heat dissipation
,
high-performance computing
,
Microelectronics Semiconductor Device Fabrication
,
microfabrication
,
Organic Semiconductor
,
physical vapor deposition (PVD)
,
real-time thermal management
,
Semiconductor
,
semiconductor chip foundries
,
Semiconductor Device
,
Semiconductor Device Fabrication
,
Semiconductor Ohmic Contact
,
Semiconductor Risk Assessment
,
Semiconductor Sapphire
,
Semiconductors
,
silicon interposers
,
thermal bottleneck
,
thermal management
,
thermal management systems
,
through-glass vias (TGVs)
,
zzsemiconducting
materials
Category(s):
Chemical
,
Chemical > Industrial & Bulk Chemicals
,
Chemical > Synthesis
,
Chemical > Chemical Processing & Manufacturing
,
Electrical
,
Electrical > Computing Hardware
,
Electrical > Electronics & Semiconductors
,
Materials
,
Materials
> Metals
,
Materials
> Semiconducting Materials
,
Materials
> Functional Materials
,
Materials
> Fabrication Technologies
,
Materials
> Composite Materials
,
Software & Algorithms > Communication & Networking
A Selenium Buffer Method for Making Van Der Waals Contact on CDTE Wafers With High Surface Roughness (Case No. 2025-173)
Summary: UCLA researchers in the Department of Chemistry & Biochemistry have developed a novel method for implementation of Van der Waals contact on commercial CdTe wafers for improved photovoltaic and solar panel production. Background: Cadmium Telluride (CdTe) is a common absorber used for thin-film optoelectronics and photovoltaics, including...
Published: 1/28/2026
|
Inventor(s):
Yu Huang
,
Xiangfeng Duan
,
Bangyao Hu
Keywords(s):
Category(s):
Electrical
,
Electrical > Electronics & Semiconductors
,
Electrical > Electronics & Semiconductors > Waferscale Computing
,
Chemical
,
Chemical > Chemical Processing & Manufacturing
,
Chemical > Instrumentation & Analysis
,
Electrical > Sensors
,
Energy & Environment
,
Energy & Environment > Energy Efficiency
,
Energy & Environment > Energy Generation
,
Materials
,
Materials
> Semiconducting Materials
Θ-Phase Tantalum Nitride for Thermal Management and Electronics Applications (Case No. 2026-180)
Summary: Researchers in UCLA’s Department of Mechanical and Aerospace Engineering have developed a novel transition metal compound that demonstrates what is thought to be the highest thermal conductivity reported among metallic
materials
. The material is synthesized as a single, defect-free crystal, enabling unprecedented efficiency in heat transport....
Published: 1/20/2026
|
Inventor(s):
Yongjie Hu
Keywords(s):
advanced thermal control
materials
,
Composite Material
,
Electronics & Semiconductors
,
energy-efficient
,
heat control
,
heat controlling devices
,
heat dissipation
,
Heat Transfer
,
high conductivity
,
material science
,
Materials
,
Metals
,
nanocrystalline metals
,
Power Electronics
,
temperature control
,
thermal control
,
thermal control
materials
,
thermal management
,
thermal management systems
,
thermal meta
materials
Category(s):
Chemical
,
Chemical > Chemical Processing & Manufacturing
,
Chemical > Synthesis
,
Electrical
,
Electrical > Electronics & Semiconductors > Thermoelectrics
,
Energy & Environment > Thermal
,
Materials
,
Materials
> Metals
,
Mechanical > Heat Transfer
ON-DEMAND LASER-INDUCED CRYSTALLIZATION OF
MATERIALS
VAlue proposition Lead halide perovskites, with their exceptional optoelectronic properties, hold considerable promise for a wide array of photonic applications. However, precise spatiotemporal control over their crystallization remains an outstanding challenge, limiting the design of next-generation perovskite-based technologies. Conventional crystal...
Published: 1/9/2026
|
Inventor(s):
Elad Harel
Keywords(s):
Category(s):
Advanced
Materials
,
Manufacturing Equipment
,
Control Systems
,
Materials
,
Nanotechnology
Immobilized Peptides for Rare Earth Element Separation (Case No. 2026-031)
Summary: UCLA researchers in the Department of
Materials
Science and Engineering have developed a bead-based chromatography platform that employs immobilized peptides for improved rare earth element separation and recovery. Background: Rare earth elements (REEs) are critical inputs for renewable energy technologies, electric vehicles, advanced electronics,...
Published: 1/5/2026
|
Inventor(s):
Aaron Moment
,
Zihang Su
Keywords(s):
bulk material
,
clean material production
,
Composite Material
,
Composite
Materials
,
Construction
Materials
,
Functional
Materials
,
material characterization
,
material science
,
Materials
,
meta
materials
,
Nano
materials
,
Peptide
,
Peptide Base
,
peptides
,
rare earth element separation
,
Raw
materials
supplier
,
safe
materials
,
Smart Material
,
sustainable rare earth recovery
Category(s):
Materials
,
Materials
> Functional Materials
,
Materials
> Nanotechnology
,
Energy & Environment
,
Materials
> Metals
Monitoring Structural Health Using Diffractive Optical Processors (Case No. 2025-201)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel structural health monitoring system that is highly accurate and cost effective, addressing limitations in current infrastructure and civil health monitoring and a rise in public safety concerns. Background: The need for structural health monitoring...
Published: 12/5/2025
|
Inventor(s):
Aydogan Ozcan
,
Ertugrul Taciroglu
,
Yuntian Wang
,
Yuhang Li
Keywords(s):
3D structures
,
Adaptive Optics
,
AI-generated images and content
,
all-optical diffractive computing
,
all-optical transformation
,
analog computing
,
analog optical computing
,
Analogue Electronics
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
artificial-intelligent
materials
,
civil engineering
,
civil infrastructure
,
civil monitoring
,
computational imaging
,
computational imaging task
,
Construction
,
deep diffractive network
,
Diffraction
,
diffractive design
,
diffractive image reconstruction
,
diffractive network
,
diffractive processor
,
diffractive surface
,
digital image reconstruction
,
electromagnetic spectrum
,
Electro-Optics
,
Image Analysis
,
Image Processing
,
Image Resolution
,
image restoration
,
image signal processing
,
Imaging
,
Infrastructure
,
Lens (Optics)
,
linear optics
,
Nanostructure
,
optical processor
,
optically-guided structural monitoring
,
Optics
,
passive light-matter interactions
,
security imaging
,
Signal Reconstruction
,
Structural health monitoring
,
structural health monitoring (SHM)
,
structure monitoring
,
Structures
Category(s):
Electrical
,
Electrical > Signal Processing
,
Electrical > Imaging
,
Materials
,
Materials
> Construction Materials
,
Electrical > Visual Computing
,
Electrical > Computing Hardware
,
Electrical > Instrumentation
,
Energy & Environment
,
Energy & Environment > Energy Efficiency
,
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Programs
Thin Bilayer Paints to Enable Passive Daytime Radiative Cooling (Case No. 2026-014)
Summary: UCLA researchers in the Department of
Materials
Science and Engineering have formulated a novel bilayer coating that enables high-performance passive daytime radiative cooling. Background: Conventional technologies for cooling buildings are highly energy-intensive, consuming about 19% of U.S. residential electricity and contributing to greenhouse...
Published: 12/8/2025
|
Inventor(s):
Aaswath Raman
,
Aryan Zaveri
,
Justin Louie
Keywords(s):
advanced thermal control
materials
,
advanced thermal paint
,
alternative cooling
,
background radiation
,
concentrated solar radiation
,
energy conversion
,
energy conversion applications
,
Energy Efficiency
,
Energy Generation & Storage
,
Energy Generation, Transmission, or Storage
,
energy management
,
Energy Management System
,
energy-efficient cooling
,
heat dissipation
,
infrared (IR) radiation
,
infrared-reflectance
,
Paint
,
paint architecture
,
passive daytime radiative cooling (PDRC)
,
photothermal
materials
,
pigmented coating
,
real-time thermal management
,
Renewable Energy
,
Renewable energy sources
,
solar reflectance
,
thermal control
,
thermal control
materials
,
Thermal Energy Storage
,
thermal management
,
thermal management systems
,
thermal meta
materials
,
thermal stability
,
ultraviolet reflectance
,
visible reflectance
Category(s):
Materials
,
Materials
> Functional Materials
,
Materials
> Nanotechnology
,
Energy & Environment
,
Energy & Environment > Energy Transmission
,
Energy & Environment > Energy Efficiency
,
Chemical
,
Chemical > Coatings, Adhesives & Inks
,
Chemical > Industrial & Bulk Chemicals
,
Energy & Environment > Thermal
Aerodynamics-Informed Design Optimization of Vehicles with Machine Learning (Case No. 2025-083)
Intro Sentence: UCLA researchers from the Department of Mechanical and Aerospace Engineering have developed a machine-learning–guided aerodynamic optimization framework that accelerates the design of electric vehicles by coupling high-fidelity simulations with data-driven shape prediction. Background: Electric vehicle (EV) technologies have...
Published: 11/5/2025
|
Inventor(s):
Kunihiko Taira
,
Jonathan Tran
,
Kai Fukami
,
Daisuke Umehara
,
Kenta Inada
,
Yoshimichi Ono
,
Kenta Ogawa
Keywords(s):
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Materials
,
Materials
> Functional Materials
,
Energy & Environment
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