Running a modern research laboratory requires more than maintaining sophisticated instruments. Researchers need to complete training, obtain access, schedule and operate equipment, navigate billing, and more. For large, shared facilities, coordinating these activities across hundreds of instruments and thousands of users can be a significant undertaking. As research becomes increasingly interdisciplinary, another challenge is emerging: finding the right capability in the first place.
Addressing these challenges was a central theme of the 2026 NEMO User Meeting, hosted by MIT.nano Oct. 5–6. The meeting brought together 65 representatives from 25 laboratories and organizations, including facility directors, laboratory managers, technical staff, software developers, industry representatives, and government researchers. Sponsored by the Northeast Microelectronics Coalition (NEMC) hub, the meeting focused on sharing approaches to lab management and building connections among facilities.
At the center of the meeting was the NanoFab Equipment Management and Operations (NEMO) system, an open-source platform that provides tools for managing shared research facilities while allowing individual laboratories to adapt the system to their own needs. The meeting highlighted an important characteristic of the NEMO community: The same platform can serve a very diverse set of facilities, and while the scale or the scientific missions of the facilities may differ, their core operational challenges are often remarkably similar.
For Anna Osherov, associate director of Characterization.nano and organizer of the meeting, the collaborative model is one of the most compelling aspects of NEMO.
“Open source changes the way we think about technology development,” she says. “We can build on what others have already developed, contribute improvements back to the community, and collectively create a platform that is more capable than what any one facility could develop on its own.”
NEMO was originally released as open-source software by the National Institute of Standards and Technology (NIST) in 2018. Its community edition (NEMO-CE), launched in 2023, allows facilities to develop and share extensions to the platform. At the October meeting, participants from organizations including MIT; Stanford, Columbia, and Princeton universities; the University of Pennsylvania; NIST; NASA’s Jet Propulsion Laboratory; and Atlantis Labs presented tools to address challenges ranging from chemical management and user administration to equipment status, training, and workflow automation.
The range of presentations illustrated how differently configured facilities are adapting a common platform to their own needs. Stanford, for example, presented real-time displays for equipment status and reservations, while Columbia shared its experience migrating to NEMO and extending the system for billing and facility workflows. Princeton demonstrated automated process charts for monitoring tool performance, and the University of Pennsylvania presented approaches to chemical management.
Overall, the projects demonstrated the premise behind the NEMO community: a solution developed to address a problem at one facility can become a resource for others.
“Together we can do way more than any one of us individually can,” said Vladimir Bulović, director of MIT.nano, during his opening remarks. “NEMO is the platform that gave us, finally, a streamlined way to do so.”
From individual facilities to a connected research ecosystem
As the NEMO community grows, another opportunity emerges. Universities and research organizations operate specialized facilities, each with unique equipment, expertise, and capabilities. But researchers cannot use a capability they are unaware of or cannot easily find.
This is particularly important for microelectronics R&D, where progress often depends on moving quickly between specialized capabilities. A researcher may need fabrication at one facility, advanced characterization at another, specialized microscopy somewhere else, and a process or analysis capability available at only a handful of institutions.
Finding those capabilities, and knowing where and when they can be accessed, can itself become a bottleneck.Traditionally, networks of facilities have relied on static webpages or databases to describe available resources. But as facilities evolve, this information can quickly become outdated.
At the meeting, MIT.nano presented Hydra, a new open-source platform being developed with support from NEMC as a key component of the NEMC Technical Concierge, a program that aims to help researchers identify and access specialized capabilities across a network of facilities. Hydra is designed to connect multiple NEMO installations and draw information directly from the systems that facilities already use, rather than requiring someone to manually update a separate database. The result is a compilation built from the ground truths of actively-used facility management systems. “Hydra does not replace any lab management system,” Osherov explained. “It connects, synchronizes, and keeps data up to date across all connected systems in real time.”
In this model, NEMO provides the operational source of information within an individual facility, while Hydra makes that information discoverable across facilities.
For a researcher, that could mean finding a specialized capability without first needing to know which laboratory might have the relevant equipment.
“The focus is to make the distributed infrastructure supporting research more discoverable and usable,” Osherov said.
Building infrastructure that can change
The approach reflects a broader philosophy: Research infrastructure needs to evolve as research itself changes. “We need to build a flexible research space and a community-oriented space so that people feel empowered to go to it, use it, and then redefine it as the years progress, adapting it to the needs of the next generation of researchers,” said Bulović.
That flexibility applies to operational systems as well as physical laboratories. New instruments and research methods emerge, user communities change, and facilities develop new requirements. An open-source platform allows individual facilities to respond to those changes while providing a mechanism for improvements to be shared.
At MIT.nano alone, NEMO supports more than 1,600 active researchers using more than 200 tools, with approximately 160,000 hours of tool usage each year. For Jorg Scholvin, associate director of Fab.nano, operating at that scale makes the efficiency of everyday processes, and the ability to adapt and change quickly, important.
“A small improvement in an administrative workflow can be multiplied across thousands of users and tens of thousands of equipment interactions,” he said.
The NEMO wave
The sense of community and positive outlook for the future of shared facilities was apparent throughout the two-day meeting. Closing discussions looked ahead to the role of data integration, automation, and artificial intelligence in lab operations.
“The community is taking on a life of its own,” said Mathieu Rampant, CEO and co-founder of Atlantis Labs, describing a model in which facility managers can share ideas and solve problems together. “It’s more sustainable,” he added as he talked about having to do less as the NEMO-CE manager because the facilities managers are talking to each other — sharing ideas and solving problems as a network: “the NEMO wave,” Samantha Roberts, director of the City University of New York nanofabrication facility, called it. “Everyone is invested in it and cares about it. It takes a lot of effort to change your lab management system and if we keep this going, we can build out something that’s really cool and that works.”
For Osherov, the purpose remains straightforward.
“Ultimately, this is about enabling research. The better we can manage the operational side of our facilities, the more effectively we can make our instruments, expertise, and capabilities available to the research community.”
In microelectronics, where innovation increasingly depends on access to specialized and distributed capabilities, that availability matters. The ability to find the right capability at the right facility, using information drawn directly from actively used systems, can help researchers move more quickly from an idea to an experiment to real-world application and impact.
