Investors & Entrepreneurs
INDUSTRIAL AFFILIATES PROGRAMS
Industrial Affiliates Programs provide a unique opportunity for the private sector to partner with UT researchers to explore research topics of mutual interest. Companies who join these programs gain access to state-of-the-art research facilities, world-class university talent, and any data and publications shared among members in exchange for an annual membership fee. Because Industrial Affiliates Programs are dedicated to fundamental, early-stage research, members can engage with the university’s research programs, students, and faculty without paying institutional indirect costs or overhead.
For more information on joining or establishing an Industrial Affiliates Program, contact our Licensing and Collaborative Research team.
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Well Construction, Decommissioning, and Abandonment
Energy – Reservoir Drilling
The primary goal of the Well Construction, Decommissioning, and Abandonment (CODA) program is to research and develop new materials, systems, methods and computational models for successful, cost-effective, long-term well abandonment.
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Center for Subsurface Modeling
Energy – Reservoir Simulation
The Center for Subsurface Modeling (CSM) is dedicated to developing solutions to tomorrow’s modeling challenges – today. At CSM, we actively work with industry and academia to deliver cutting edge scientific advancements in the form of toolsets for subsurface applications. Our research continually seeks to improve our physical understanding of subsurface phenomena using consistent mathematical modeling and advanced numerical solution techniques. We use high performance computing to reduce computational costs associated with complex models. CSM collaborations span across various disciplines to model flow and transport of fluids in reservoirs of varying complexities accounting for fluid phase behavior, geochemical reactions and geomechanical deformations. These modeling advancements are implemented in our in-house reservoir simulator (IPARS) or available as stand-alone toolsets for specific applications. Our model developments assist industrial affiliates in their field deployment efforts.
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Machine Learning Lab
Computing & Automation
The Machine Learning Lab (MLL) will be the catalyst that expands industry academic partnerships and builds the research base for partner companies, yielding talent development, research expertise, and new opportunities for all involved.
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iMAGiNE
Computing & Automation
The iMAGiNE (Intelligent MAchine enGINEering) consortium provides tools, methodologies, and knowledge for engineering the machines that support intelligent applications, from the smallest circuits to the largest systems. iMAGiNE brings together faculty experts and researchers working on cutting-edge technology from devices and circuits, to hardware accelerators and the software systems running on them, while advancing the development of intelligent systems for rich data collection, machine learning, and smart sensing/actuation. To support the cloud-edge continuum and the applications running on them, iMAGiNE is organized in three thrusts: Cloud, Edge, and Applications.
Discovery to Impact partners with researchers, inventors, investors, and entrepreneurs at every step of their journey in relentless pursuit of changing the world.