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Texas A&M Establishes AI Foundry for Alloy Discovery

A $2 million WoodNext Foundation grant will fund the Aggie AI Foundry, an automated lab using robotics and artificial intelligence to accelerate the development of new metallic materials.

Reese Fenn· AI-assisted, edited by Jake Team

October 26, 20262 min read

AI Alloy Discovery - illustration, Jake Team LLC

Texas A&M University is establishing a new facility designed to speed up the creation of novel metal alloys through automation. The project, known as the Aggie AI Foundry, is supported by a $2 million grant from the WoodNext Foundation.

The foundation manages the philanthropy of Roku CEO and Founder Anthony Wood and his wife Susan. The grant will support researchers in the Department of Materials Science and Engineering to build what officials describe as academia’s first automated laboratory for this specific purpose.

The facility will utilize a combination of artificial intelligence and robotics to handle the development, testing, and synthesis of metallic materials. According to university officials, the automated process aims to reduce the time required to develop new alloys from months to a week or less. This speed is intended to address industry needs in sectors such as energy, aerospace, defense, and healthcare.

The project was initiated by Dr. Ibrahim Karaman, department head and Chevron Professor I, and Dr. Raymundo Arróyave, associate department head for research and Chevron Professor II. The two have published more than 100 papers together on metal alloy design.

Dr. Karaman stated that the investment allows the university to pursue an autonomous foundry where AI and robotics collaborate to accelerate discovery. He noted that current methods are too slow to meet industry demands.

The system will use physical models, algorithms, and human knowledge to train AI in generating ideas for new alloys. Robotics will then mix, melt, and test materials using computer-controlled arms along an assembly line. The facility is designed to handle temperatures up to 3,000 degrees Celsius, a capability that existing self-driving labs lack.

Dr. Arróyave explained that the goal is to free researchers from repetitive tasks. He compared current student roles to line cooks in a restaurant, suggesting that automation will allow them to focus on higher-level scientific work and writing papers to share discoveries.

Source: Texas A&M University.

Sources

stories.tamu.edu

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Reese Fenn· AI-assisted, edited by Jake Team

Reese Fenn writes about community life, schools, public safety, and local events in College Station.

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