In a groundbreaking advancement for energy harvesting technologies, researchers at the University of Arkansas and the University of Michigan have successfully demonstrated the first-ever ultra-low power temperature sensors powered by graphene-based solar cells. This landmark achievement overcomes longstanding challenges in energy autonomy and sensor longevity, which have hindered the widespread application of environmental and IoT sensors. The innovation paves the way for self-sustaining, battery-free devices capable of long-term deployment in a variety of settings, charting a new course in sensor technology and energy efficiency.
At the heart of this development is graphene, a two-dimensional material celebrated for its extraordinary electrical, thermal, and mechanical properties. The team exploited graphene’s energy conversion potential to create miniaturized solar cells capable of harvesting ambient energy with remarkable efficiency. These graphene-based solar cells eliminate the need for conventional batteries, often the limiting factor in sensor lifetimes due to their finite charge cycles. As a result, devices powered this way could function autonomously for decades, offering a paradigm shift toward sustainable and maintenance-free sensor networks.
To achieve this feat, researchers tackled two pivotal technical challenges. First, they reduced the power consumption of temperature sensors to the nanowatt scale, a billionth of a watt, which dwarfs the typical power usage of such devices that traditionally operate in the microwatt range. This drastic reduction required designing and optimizing circuits with extraordinarily low power demands. Second, they engineered an energy harvesting system that can directly power the sensor from the local environment’s solar energy, thereby removing the necessity of power management units and batteries.
The research, led by Ph.D. candidate Ashaduzzaman under the guidance of Professor Paul Thibado, demonstrates that multiple graphene-based solar cells can be connected in series to raise the output voltage sufficiently to charge onboard storage capacitors. These capacitors then intermittently power the sensor system, enabling continuous function for more than 24 hours on a single charge cycle. This approach circumvents the traditional reliance on rechargeable batteries while simplifying the energy storage system architecture.
Professor Thibado emphasized the importance of self-contained energy sourcing, stating that power must be drawn entirely from the local environment for true autonomy. The long projected lifespan of the sensors could dramatically reduce maintenance costs and operational disruptions, embodying a ‘set it and forget it’ philosophy that is critical for large-scale IoT deployments in remote or hard-to-access locations.
The collaborative effort with the University of Michigan was crucial to addressing the power consumption hurdle. Professor David Blaauw and his team specialize in ultra-low power circuits and wireless embedded systems; their expertise helped downscale the energy requirements of the sensor electronics. Blaauw’s pioneering work on minuscule sensors, including those small enough to reside on a butterfly’s wing, highlights the significance of precise and efficient low-power design in contemporary sensor applications.
Intriguingly, the research team dispensed with a conventional power management unit entirely. They connected three sets of graphene-based mini solar cells to three corresponding storage capacitors that reliably supply power to the temperature sensor. This streamlined design significantly trims excess energy consumption and improves efficiency by directly converting and storing ambient solar energy.
Looking ahead, the research group aims to enhance the sensor platform by integrating multiple energy harvesting modalities. By combining solar energy harvesting with mechanisms that capture kinetic, thermal, or nonlinear vibrational energy endemic to graphene’s unique properties, future sensors will be multimodal, ensuring continuous power availability even amidst fluctuating environmental energy sources.
Potential applications for this technology span an expansive range of industries and use cases. Agricultural monitoring can profit from long-term climate data collection without battery replacement burdens, and livestock tracking can be improved with minimally invasive, self-sustained devices. Wearable fitness trackers may gain extended lifespans, while building alarm systems, environmental surveillance, and predictive maintenance systems can all benefit from these cost-effective, durable, and autonomous sensors.
A key facet of the research was the fabrication and rigorous characterization of dozens of graphene solar cells, each analyzed via current-voltage profiling under illumination to ensure consistent performance. Connecting these cells in series enabled voltage boosts compatible with sensor requirements. Rapid charging times of mere minutes enable prolonged sensor operation, highlighting the practicality and readiness of the technology for real-world implementation.
This groundbreaking work, published in the Journal of Vacuum Science and Technology B, has been recognized not only for its scientific rigor but also for its innovative approach to solving long-standing problems in energy autonomy. The project received substantial support from the WoodNext Foundation, whose $900,000 grant underpinned the optimization of graphene-based energy-harvesting devices aimed at transforming the commercial sensor market.
Moreover, collaboration with NTS Innovations exemplifies the bridge between laboratory innovation and industry-level commercialization. Specializing in nanotechnology, NTS Innovations holds exclusive licenses to bring graphene energy harvesters into practical, scalable commercial products. Their customer engagement strategy, informed by feedback from over 60 interested parties, ensures that evolving products meet industrial power acceptance criteria and satisfy the demands of diverse application scenarios.
As this technology matures, the integration of kinetic energy harvesting—particularly from graphene’s distinctive vibrational modes—is anticipated to enhance the energy portfolio of future sensors. This traditional multi-modal approach promises a resilient energy supply, ushering in a new era where sensor devices are entirely free from battery dependence and external maintenance.
This pioneering research unlocks unprecedented opportunities within the burgeoning Internet of Things landscape, contributing essential components to untether smart technologies from energy constraints. The fusion of graphene’s material science brilliance and sophisticated low-power circuitry charts a promising trajectory for sensors that seamlessly blend into daily life while continually sensing, monitoring, and transmitting data for years on end.
Subject of Research: Not applicable
Article Title: Array of mini-graphene-silicon solar cells intermittently recharges storage capacitors powering a temperature sensor
News Publication Date: 10-Nov-2025
Web References:
Official publication: 10.1063/10.0039935
University of Arkansas graphene research: https://arkansasresearch.uark.edu/scientists-design-novel-nonlinear-circuit-to-harvest-clean-power-using-graphene/
University of Michigan Blaauw lab: https://blaauw.engin.umich.edu/
WoodNext Foundation: https://woodnext.org/
NTS Innovations: https://www.ntsinnovations.com/
References: Journal of Vacuum Science and Technology B, 10-Nov-2025, DOI: 10.1063/10.0039935
Image Credits: Russell Cothren
Keywords
Graphene, energy harvesting, ultra-low power sensors, solar cells, Internet of Things, autonomous sensors, temperature sensors, nanotechnology, energy autonomy, multi-modal energy harvesting, storage capacitors, low-power electronics
Tags: battery-free sensor technologyenergy autonomy in sensorsenergy harvesting technologiesenvironmental IoT sensorsgraphene-based solar cellsgraphene’s energy conversion potentiallong-term deployment of sensorsmaintenance-free sensor solutionsminiaturized solar cellsself-sustaining sensor devicessustainable sensor networksultra-low power temperature sensors
