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This NSF-funded project at Caltech utilizes AI agents and automated microcrystal electron diffraction to remotely determine 3D structures for millions of unknown molecules, effectively creating a "cloud laboratory" that scales structural biology discovery. By integrating advanced data analysis with remote experimentation capabilities, the initiative aims to map chemical dark matter on a scale comparable to the Human Genome Project.
AI will run experiments remotely in new Caltech lab
Caltech’s Hosea Nelson leads a team awarded $17 million by the NSF to build an automated “cloud laboratory,” enabling scientists and AI agents to conduct experiments remotely and explore “chemical dark matter.” The lab will analyze, store data online.
A $17 million grant from the National Science Foundation will fund a Caltech team led by professor Hosea Nelson to build ELECTRA, an automated and remotely accessible laboratory. The facility will employ microcrystal electron diffraction and artificial intelligence to determine the 3D structure of millions of molecules, structures Nelson refers to as mirroring the vast unknowns of dark matter in the universe. “ELECTRA represents a bold move in accelerating scientific discovery,” says Caltech President Ray Jayawardhana, envisioning a resource that will…
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