Top licensing prospects from the University of Wisconsin-Madison
Alloy Protects Materials at High Temperatures
Materials science and engineering researchers developed a novel molybdenum alloy that can endure 1600-degree heat, making it useful for hypersonic jets and jet turbines.
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Compositions for Stabilizing Metal-Free Ring-Opening Metathesis Polymerization
A team of chemists developed a solvent-less method for producing polymers used in biomedical engineering, photovoltaics and more.
Balanced Current-Source Inverter
This switching circuit for a balanced current-source inverter with increased fault tolerance and reliability is particularly suited for aerospace and megawatt uses.
Automatic Error Estimate Correction for a Machine Learning Model
Implemented in software, this method for correcting the error estimate of a prediction leverages existing data sets to compute curve descriptive values that are used as a comparator, which can ultimately be used to improve a model’s domain.
Low-Defect-Density Gamma Phase Aluminum Oxide Substrates for Heteroepitaxial Synthesis
The single crystal γ-Al2O3 thin films with low-defect density created via this method can be used as substrates for the synthesis of oxides with cubic or hexagonal structures.
Generating and Using Spiking Neural Networks with Improved Efficiency
This approach seamlessly integrates latency and accuracy, resulting in a smooth Pareto optimal latency-accuracy tradeoff curve, and can be used for computer vision devices with stringent latency, computational and power budgets.
In the News
- When UW-Madison engineering ideas make their way across Wisconsin, everybody wins
- With sheer determination, researchers can make tough materials that bend without breaking
- UW-Madison part of effort to advance fusion energy with machine learning
- Cancer diagnosis and treatment could get a boost from machine learning