Sustainable Computing: Growing Memristors from Mushrooms (2025)

Imagine a world where your computer could decompose in your backyard after you're done with it. Sounds like science fiction? Think again! Researchers have just taken a giant leap towards making this a reality by creating functioning memory devices from…wait for it…mushrooms!

A groundbreaking study at Ohio State University has successfully engineered memristors – a type of memory resistor – using the mycelium of shiitake mushrooms. These aren't your average silicon chips; they're "living" memristors that can learn and adapt, paving the way for computing that's biodegradable, self-growing, and incredibly eco-friendly. You can read about it in detail in their research paper: (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0328965).

The team believes these fungal memristors could be game-changers for high-frequency bioelectronics. Think of it: interfaces that seamlessly bridge the gap between living organisms and electronic devices.

Building a Brain from Fungi: How Does it Work?

The secret lies within the mycelium, the intricate network of thread-like structures that make up the "roots" of a mushroom. This network is known for its structural strength and, surprisingly, its capacity for a kind of biological intelligence.

The Ohio State researchers cultivated shiitake spores in a nutrient-rich environment, allowing the mycelium to spread and colonize entire petri dishes. Once fully grown, these networks were dehydrated to create stable, disc-shaped structures. Here's the clever part: rehydrating them reactivates their conductivity, making them electrically functional.

Each of these fungal samples was then connected to conventional electronics for testing.

The Magic of Memristors: Learning Like a Brain

The researchers put these fungal substrates through a series of tests, applying different voltages and measuring their electrical resistance. What they observed was truly remarkable: the fungal samples exhibited memristive behavior, displaying "pinched hysteresis loops" – a hallmark of variable resistance states similar to the synaptic plasticity in our own brains. In simpler terms, they could change their resistance based on the electrical signals they received, mimicking how our brains learn and remember!

One particularly impressive result was achieved with a 5-volt sine wave at 10 Hz, where the samples showed a memristive accuracy of 95%. Even at high frequencies (up to 5.85 kHz), the devices maintained 90% accuracy, making them promising candidates for real-time computing applications. And this is the part most people miss: the devices aren't just holding data, but are actively processing it.

But here's where it gets controversial... could these fungal networks one day achieve a level of complexity that allows them to perform more advanced computations?

The team didn't stop there. They also built a custom Arduino-based testbed to see if the fungal memristors could function as volatile memory – memory that temporarily stores data. By applying controlled pulses and measuring voltage thresholds, they confirmed that the devices could indeed store and recall data, a crucial step towards integrating them into neuromorphic (brain-inspired) circuits.

Why Fungi? The Advantages of Mycelium Memory

Conventional memristors rely on inorganic materials like titanium dioxide or rare-earth metals, which require complex and energy-intensive manufacturing processes. Fungal memristors, on the other hand, tap into the natural conductive properties of biological structures.

Shiitake mycelium, when processed, forms a hierarchically porous carbon structure that enhances its electrochemical activity. The internal architecture of the mycelium provides dynamic conductive pathways that form and dissolve in response to electrical input, mirroring the ion-based mechanisms in neurons.

Additionally, because these devices are fully biodegradable and derived from renewable biomass, they sidestep many of the environmental problems associated with semiconductor fabrication. No cleanrooms, etching chemicals, or mining of critical materials are needed – just a controlled growth chamber, some agricultural substrate, and time.

That simplicity masks their potential complexity. These fungal circuits could be used in edge computing, intelligent sensors, and even autonomous robotics, anywhere a lightweight, low-power, and adaptive processor is needed. They also open up speculative applications in distributed environmental sensing, where devices could be left to decompose harmlessly after use. Imagine sensors monitoring soil health that simply vanish back into the earth when their job is done.

A Futuristic Vision: Mycelial Computing in Extreme Environments?

Beyond their electrical properties, shiitake mushrooms possess remarkable biological resilience. They're even known to survive ionizing radiation, which could make fungal electronics suitable for aerospace applications, where cosmic radiation can degrade semiconductor reliability. Could we one day see mushroom-powered satellites orbiting the Earth?

Furthermore, the ability of shiitake mycelium to be dehydrated and rehydrated without losing function significantly enhances its usability. In the Ohio State experiments, dehydrated samples stored their programmed resistance states and resumed functionality when rehydrated, suggesting a practical path toward shipping, storing, and even transmitting bio-electronic components.

This research, while still in its early stages, represents a significant step toward integrating biological organisms into functional computing systems. By cultivating memristive behavior in edible fungi, the Ohio State team has demonstrated that computing components don't need to be etched in silicon; they can be grown, dried, and wired into circuits.

What do you think? Could fungi be the future of computing? Are there any ethical considerations we should be discussing as we blend biology and technology in this way? Share your thoughts in the comments below!

Sustainable Computing: Growing Memristors from Mushrooms (2025)

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