Science

Researchers build a working, battery-free computer from springs and steel bars

A team at St. Olaf College and Syracuse University demonstrated a functioning mechanical computer that uses tension and springs instead of electricity, aiming to seed a new class of adaptive, information-processing materials.

Researchers build a working, battery-free computer from springs and steel bars
©Illustration AI Nathan Cole / news-block.org

Researchers at St. Olaf College and Syracuse University have built a functioning computer that requires no electricity, using only rigid steel bars and springs to carry out basic logic and memory tasks. The device does not rely on silicon, wiring or batteries; instead it computes through physical movement and stored mechanical tension.

From brass calculators to non-equilibrium mechanics

The new machine is not designed to out-perform historical mechanical calculators in pure arithmetic speed. Those brass-geared devices, which reached prominence around World War II, were optimized as dedicated problem solvers. The recent work departs from that lineage by embracing the messy, out-of-equilibrium physics found in materials such as crumpled paper or amorphous solids.

Researchers describe the platform as a set of fundamental building blocks for a possible next generation of smart materials — everyday structures that could sense, store and process information about their physical environment through their own mechanical behavior.

How does metal store information?

The project exploits the fact that many materials retain memory of prior deformations. As Joey Paulsen, an associate professor of physics at St. Olaf College, explained, everyday substances can “remember” past stretching or squeezing. The team engineered that tendency into a mechanical logic architecture, using springs and solid members to represent logical states and to implement memory.

“We typically think of memory as something in a computer hard drive, or within our brains,” Paulsen said. “However, many everyday materials retain some kind of memory of their past, for example, rubber can ‘remember’ how far it has been squeezed or stretched in the past.”

Platform and prospects

Undergraduate students at St. Olaf — including Faten Abu Al Ardat and Harry Maakestad — contributed to constructing the device. The team emphasizes that the goal is not to revive mechanical computing as a competitor to modern electronics but to create a tangible platform to explore how mechanical systems might compute and adapt.

  • Uses only springs and rigid bars — no electricity or silicon chips
  • Performs basic logic and stores memory through mechanical tension
  • Aims to inform the design of adaptive, information-processing materials
ComponentRole
SpringsStore tension-based state; implement memory
Rigid steel barsTransmit forces; form logic pathways
No electronicsSystem operates purely mechanically

The work reframes computation as a physical process distributed through a material’s structure rather than confined to discrete electronic circuits. If developed further, such mechanically based computation could lead to structures that adapt their properties in response to external forces, opening new directions in materials engineering and robotics.

While the current apparatus performs elementary operations, it establishes proof that computation can be embedded in mechanical networks — a step toward integrating sensing, memory and logic into the very fabric of manufactured objects.

Nathan Cole
Nathan AI Science Reporter online

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