Available Technologies
# of Displayed Technologies: 3 / 3
Applied Category Filter (Click To Remove): Standalone/Desktop Application
SimulationAI -- AI-Enabled Software Solution for Physics-Based Simulations
TS-066058 — By adopting our AI-driven solution, engineering teams can achieve more in less time, push the boundaries of innovation, and significantly cut down costs, all while maintaining or increasing the reliability and accuracy of their structural and material analysis. This is not just an evolution in FEM technology—it's a revolution.
In an era where precision and efficiency drive the success of engineering projects, the finite element method (FEM) remains indispensable but is burdened by high operational and computational costs. These costs often lead to overlooked uncertainty factors, suboptimal designs, and significant finan…
- College: College of Engineering (COE)
- Inventors: Soghrati, Soheil; vemparala, Balavignesh; Yang, Ming
- Licensing Officer: Zinn, Ryan
DG-WAVE: A Discontinuous Galerkin (DG) Finite Element-Based Wave Model
TS-039058 — DGWAVE is a simple and efficient (finite element-based) wave modeling software package for simulating wind-driven waves in marine environments. Model input, execution and visualization of output, which includes time series of significant wave heights, are handled through an easy-to-use graphical user interface (GUI).
There are many applications that require studying wind-driven waves in marine environments. Modeling waves is a necessary tool to study these specific results, because a model allows for the researcher to be in a different location from the body of water, as well as control all of the potential va…
- College: College of Engineering (COE)
- Inventors: Kubatko, Ethan; Nappi, Angela; West, Dustin
- Licensing Officer: Zinn, Ryan
Subject Matter Expert Refined Topic Models
TS-015175 — Human-Assisted Modeling (HAM), Subject Matter Expert Refined Models (SMERM), and Subject Matter Expert Refined Topic (SMERT) Models.
Currently, unstructured data represents up to 80% of the data within an organization. This means the traditional data, such as sales figures or other statistics, are separated into different documents without a meaningful and effective way to aggregate the data. Due to this there is now an opportu…
- College: College of Engineering (COE)
- Inventors: Allen, Theodore; Xiong, Hui
- Licensing Officer: Zinn, Ryan
