Rice University has received a $19.9 million award from the National Science Foundation to increase the production of quantum and electronic materials by using a combination of artificial intelligence, cloud-based labs and robotics.

The four-year project will create a remote and automated research platform that aims to accelerate discovery and the testing process, according to Rice. The aptly titled project, "Revolutionizing AI-Driven Autonomous Experimentation for Next-Generation Semiconductor Synthesis” (READINESS), will be led by Rice materials scientist Jun Lou, who serves as principal investigator. SUNY Polytechnic Institute and the University of Texas at Austin will collaborate with Rice on the project.

At first, READINESS will focus on two-dimensional materials, oxide semiconductors and diamond thin films that can support emerging technologies, like quantum devices.

READINESS is one of 20 projects selected for the NSF's Programmable Cloud Laboratories Test Bed initiative, which aims to provide more U.S. researchers with access to automated scientific tools.

Additionally, the project aligns with the Department of Energy’s Genesis Mission, which recently selected four projects from Houston universities and companies, including two from Rice. The national initiative aims to unite government, industry, academia and philanthropy to lead to breakthroughs in energy, scientific discovery and national security.

READINESS will offer more advanced lab systems remotely via a cloud interface to assist startups, other research groups, and companies that don’t have the resources, staffing or equipment to produce quantum materials and advanced electronics. READINESS will also allow researchers to simulate experiments via virtual experiments or digital twins before they conduct the physical experiment.

Rice says this will be particularly useful in quantum materials research, which is often met with barriers— like the adjustments of chemical composition, gas flow, pressure, and temperature—that can change the properties of a material.

“This project will give researchers access to capabilities that have traditionally been available only in a handful of laboratories,” David Sholl, executive vice president for research at Rice, said in a news release. “By lowering those barriers, READINESS can accelerate discovery and expand who can participate in cutting-edge materials research.”

Additionally, the project’s AI aspect will offer recommendations for new tests, recognize safety limits and analyze results to assist researchers.

“Responsible AI should complement researchers’ capabilities rather than replace their judgment,” Luay Nakhleh, Dean of Rice’s George R. Brown School of Engineering and Computing, added in the release. “READINESS embodies this principle by combining automated systems with transparency, safeguards and human oversight at critical decision points.”

READINESS’ lab will be based out of Rice’s Ralph S. O’Connor Building for Engineering and Science. Partner sites will also contribute equipment, expertise and workforce development programs, according to Rice.

Ultimately, READINESS aims to elevate the speed, reliability and reproducibility of experiments, and to promote access to automated scientific tools for U.S. researchers.

“Our goal is to create a laboratory that researchers from across the country can use to produce advanced electronic and quantum materials on demand,” Lou added in the release. “By integrating robotics, AI and digital twins, we aim to learn from every experiment and shorten the pathway from scientific discovery to practical technology.”