UCLA Researchers & Innovators
Industry & Investors
News & Events
About
Concierge
Search Results - high-z+organometallics
2
Results
Sort By:
Published Date
Updated Date
Title
ID
Descending
Ascending
Nanocomposite Scintillators (Case No. 2024-126)
Summary: UCLA researchers from the Department of Materials Science and Engineering have developed a novel nanocomposite material for high-efficiency radiation detection and monitoring. Background: Scintillators are materials that emit light when they absorb radiation, such as gamma rays or x-rays. The photons generated by the scintillators can...
Published: 5/15/2024
|
Inventor(s):
Qibing Pei
,
Ziqing Han
Keywords(s):
adhesive material
,
Algorithm Optical Coherence Tomography
,
anode material
,
artificial electromagnetic materials
,
artificial-intelligent materials
,
background radiation
,
Biomaterial
,
Biomaterial 3D Printing
,
bulk material
,
Composite Material
,
composite scintillators
,
Computed tomography
,
Computerized Tomography scan (CT)
,
Diffraction Tomography
,
Drug Delivery Microporous Material
,
fast scintillators
,
gamma spectroscopy
,
High resolution computed tomography
,
high-Z organometallics
,
hole transporting material
,
Hyperelastic Material
,
intercalated materials
,
material characterization
,
Materials
,
meta materials
,
metal nanocomposites
,
microarchitectured materials
,
nanocomposite scintillators
,
Nanocomposites
,
Nanomaterials
,
Nanoparticle
,
Nanoparticles
,
nanostructured materials
,
neutrino detection
,
Optical Tomography
,
Optoelectronic materials
,
photonic materials
,
positron emission tomography (PET)
,
radiation detection
,
Raw materials supplier
,
scintillators
,
second harmonic generation
,
Smart Material
,
Solar Cell Metamaterial
,
Surgical Instrument Optical Coherence Tomography
,
suturable biomaterial
,
X-Ray Computed Tomography
Category(s):
Chemical
,
Chemical > Chemical Sensors
,
Materials
,
Materials > Functional Materials
Method of Proficient Typing Using a Limited Number of Classes (Case No. 2024-063)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel software algorithm to rapidly predict text using small keyboards for various applications, including mobile computing, gaming, and human-computer interactions. Background: Advancements in mobile computing have drastically changed everyday life...
Published: 11/6/2024
|
Inventor(s):
Jonathan Kao
,
Shreyas Kaasyap
,
John Zhou
,
Johannes Lee
,
Nima Hadidi
Keywords(s):
Advanced Computing / AI
,
advanced computing methods
,
all-optical diffractive computing
,
Artificial Neural Network
,
Artificial Neural Network Artificial Neuron
,
assistive communication
,
background radiation
,
Bandwidth (Computing)
,
Brain computer interface
,
brain machine interface
,
Classroom management software
,
Cloud Computing
,
composite scintillators
,
Database management/data entry
,
deep physical neural network
,
design software
,
edge computing
,
fast scintillators
,
gamma spectroscopy
,
graph neural network
,
HCI (Human Computer Interaction)
,
high-Z organometallics
,
Human/Brain computer interfaces (BCI/HCI)
,
human-centered computing
,
material characterization
,
Medical science computing
,
mobile computing
,
modular robotic system
,
nanocomposite scintillators
,
neural network
,
neural networks
,
neutrino detection
,
Optical computing
,
positron emission tomography (PET)
,
predictive text
,
primary school software
,
radiation detection
,
recurrent neural networks
,
Robotics
,
robotics control
,
scintillators
,
second harmonic generation
,
secondary school software
,
self-sustaining computing
,
soft robotics
,
Software
,
Software & Algorithms
,
Software Development Tools
,
Software-enabled learning
,
Spatial computing
,
Stochastic Computing (SC)
,
T6 keyboard
,
T9 keyboard
,
visual computing
,
wafer-scale computing
Category(s):
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Communication & Networking