Texas A&M's Aggie AI Foundry gets $2 million to speed alloy discovery

The Aggie AI Foundry is the brainchild of Dr. Ibrahim Karaman, department head, and Dr. Raymundo Arróyave, associate department head for research, who have published more than 100 papers together on algorithms and methodology for metal alloy design. Their approach combines physical models, algorithms, and years of human trial-and-error to train AI to propose new alloy ideas, while robotic arms mix, melt, and test materials along an assembly line.

Arroyave noted that current computational tools cannot predict how an alloy will behave, so experiments must be done on actual materials. With several dozen elements from the periodic table, AI faces roughly a trillion possible mixing combinations—far beyond human bandwidth—but can find hidden correlations and run experiments quickly. The grant comes through the WoodNext TAMU Fund, a donor-advised fund program, and reflects the foundation's broader mission to advance human progress by removing obstacles to a fulfilling life.