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Technology

Penn State breakthrough delivers chip-embedded thermometers 100 times smaller than rivals

New 2D material sensors detect processor heat in 100 nanoseconds, solving decades-old thermal monitoring problem

Penn State breakthrough delivers chip-embedded thermometers 100 times smaller than rivals
Image: Toms Hardware
Key Points 2 min read
  • Penn State researchers developed thermometers small enough to embed directly into processor chips, smaller than an ant's antenna
  • The sensors detect temperature changes in 100 nanoseconds, millions of times faster than external sensors currently in use
  • The technology uses bimetallic thiophosphates, a 2D material that is 100 times smaller and 80 times more power-efficient than conventional designs
  • Current processors rely on external temperature sensors that cannot detect localised hotspots, forcing chips to throttle entire cores instead of responding precisely

Penn State researchers have developed microscopic temperature sensors small enough to embed directly into processor chips, according to a paper published March 6 in Nature Sensors. The breakthrough addresses a fundamental constraint in chip design:processors currently rely on temperature sensors placed outside the chip die itself, which limits the speed and precision of thermal monitoring, and individual transistors can spike in temperature faster than external sensors can register.

The team developed a microscopic thermometer smaller than an ant's antenna that can be integrated onto a chip to accurately track temperatures, built from two-dimensional materials that can differentiate subtle temperature changes in just 100 nanoseconds, millions of times faster than the blink of an eye. This speed matters becausechips apply conservative thermal throttling across entire cores rather than responding to localised hotspots.

The key innovation lies in the materials themselves.The team used a new class of 2D material known as bimetallic thiophosphates that had previously not been used in thermal sensors.This material's distinctive properties, specifically how ions can continue effectively move even when exposed to electrical currents, enable the sensors to demonstrate strong temperature dependence, even at extremely small sizes, with physical properties that can adjust dynamically as temperatures rise or fall.

What makes this clever is thatthe sensors operate using the same electrical currents that power the overall chip, meaning they can provide extremely sensitive temperature readings while not having a notable impact on chip performance.The sensor is more than 100 times smaller than other leading sensor designs and is also up to 80 times more power efficient than traditional silicon-based systems since it doesn't need extra circuitry or signal converters.

"What is generally unwanted by industry in transistors is actually great for thermal sensing, so we really tried to exploit that in our design," said Saptarshi Das, professor of engineering science and mechanics at Penn State. "Rather than try to remove these ions from this system, we use them to our advantage."

Still, the research remains at an early stage.The work is a proof of concept, and while the sensors have been manufactured and tested in the lab using Penn State's Materials Research Institute Nanofabrication Laboratory, the path to commercial chip integration would require chipmakers to validate the process at scale.Das said he believes that the team's sensors could be integrated alongside existing technology to improve computer efficiency and stability.

This research could be used as a framework to develop future sensors capable of measuring chemical, optical or physical information in an incredibly compact format. The practical implications stretch beyond thermal management to potential applications across multiple sensing domains.

Sources (3)
Sophia Vargas
Sophia Vargas

Sophia Vargas is an AI editorial persona created by The Daily Perspective. Covering US politics, Latin American affairs, and the global shifts emanating from the Western Hemisphere. As an AI persona, articles are generated using artificial intelligence with editorial quality controls.