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Liquid-based memory is a family of experimental storage concepts that uses fluid-filled structures to hold ordered particles or electrochemically deposited layers as data. Imec’s two proposals—colloidal memory and electrolithic memory—show different ways this might work, but neither is a product or a demonstrated commercial-density device. Imec’s often-cited target of about 1 Tbit/mm² is conditional on future structures and remains a projection.

How could a liquid-based memory store data?

Instead of storing bits only in a flat solid material, these concepts use a fluid as a volumetric medium. A dense array of access devices would connect to capillaries or wells containing particles or dissolved metal ions. An ordered sequence inside each narrow channel represents data; electrodes and peripheral circuitry would write and read that sequence.

The challenge is not simply finding a tiny storage element. In its 2022 overview, imec program director Maarten Rosmeulen notes that access devices and their wiring are central scaling challenges. The proposed advantage of a volumetric medium therefore depends on building and reliably addressing a dense array of channels, then controlling what goes into them and detecting it afterward. Imec’s 2022 overview describes the concepts as exploratory.

What is colloidal memory?

Colloidal memory would encode information as the order of different nanoparticle types inside nanocapillaries. A reservoir supplies at least two kinds of particles, and electrodes at the capillary entrances would help select which type enters each channel. The proposed selective writing mechanism is frequency-dependent dielectrophoresis: particles respond differently to an alternating electric field depending on their properties and the applied frequency. The resulting particle sequence would represent the stored symbols.

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Imec reported selective extraction of polystyrene nanoparticles from a mixed solution using electrode arrays. That is a laboratory operation relevant to the proposed mechanism, not a demonstration of a complete memory that writes, reads, retains and rewrites data reliably at high density. Imec explicitly said substantial further development was needed.

What is electrolithic memory?

Electrolithic memory would encode data in sequences of metal layers formed inside capillaries. Metal ions dissolved in a reservoir deposit onto an electrode at the bottom of a channel at potentials that depend on the material. Applying different electrochemical potentials can therefore build a layered sequence. For reading, the current can be reversed to dissolve the layers while monitoring the potentials at which they dissolve.

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Imec reported proof-of-concept writing and reading of copper and cobalt-nickel (Cu/CoNi) stacks on micrometer-scale electrodes, along with preliminary read signals from nanowell structures. In the 2022 overview, electrolithic memory was the more advanced of the two liquid-memory concepts. These results establish early laboratory operations, not a production-ready memory or a measured commercial density.

How do colloidal and electrolithic memory compare?

Comparison Colloidal memory Electrolithic memory
What represents data The identities and order of nanoparticle types in a capillary. The identities and sequence of electrochemically deposited metal layers.
Proposed write method Frequency-dependent dielectrophoresis to select particles from a mixed solution. Electrodeposition at material-dependent electrochemical potentials.
Proposed read method Detecting the particle sequence in the capillary; the 2022 overview does not establish a complete high-density read system. Reversing current to dissolve layers and sensing their dissolution potentials.
Stage reported by imec in 2022 Selective extraction of polystyrene nanoparticles from a mixture using electrode arrays. Proof-of-concept writing and reading of Cu/CoNi stacks on micrometer-scale electrodes; preliminary signals from nanowells.
Key engineering issues Particle selection and ordering, capillary control, addressing, sensing and reliable operation. Layer deposition and dissolution control, addressing, sensing and reliable operation.

For both approaches, system-level questions remain: response time, bandwidth, endurance, energy use and retention require further evaluation. Imec’s overview does not establish that either architecture meets the requirements for a deployable storage system.

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What does the 1 Tbit/mm² figure mean?

Imec presented approximately 1 Tbit/mm² as a future target, conditional on a 40 nm pitch and very high-aspect-ratio structures. It is not a measured density for a complete memory device, nor a product specification. Achieving the target would depend on fabricating and addressing the proposed structures while also solving the writing, reading, reliability and retention challenges.

The same 2022 overview lists 20 Gb/s bandwidth, 10³ write/read cycles and more than 10 years of retention as example requirements for viable nearline storage. These are targets, not demonstrated results for liquid-based memory. Imec framed a possible place for liquid memory on its roadmap from 2030 onward, as 3D NAND bit-density scaling begins to saturate; that is a prospective roadmap statement, not a launch date or availability commitment.

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How does DNA data storage relate?

DNA is another molecular-storage research direction, but it is not the same architecture as colloidal or electrolithic memory. DNA systems encode information in molecular sequences and have distinct synthesis, preservation, access and sequencing requirements.

Liquid-crystal-guided DNA preservation

A 2025 study describes a liquid-crystal-guided DNA preservation platform with nondestructive recovery using salt solutions. It reports a calculated logical storage density of 1.90 bits per nucleotide for that platform. This is a study-specific result, not a density figure for liquid-based particle or metal-layer memory. The 2025 study reports a research platform rather than mainstream deployment.

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DNA spots retrieved with digital microfluidics

A 2019 study describes dehydrated DNA spots on glass that can be retrieved with water droplets using digital microfluidics. The researchers report successful sequencing and a demonstration storing 1 TB in one spot. That result concerns a DNA-storage demonstration and does not establish the performance of colloidal or electrolithic devices. The 2019 study describes the method and demonstration.

Connecting DNA storage to computer systems

At USENIX FAST ’25, Jiahao Zhou and coauthors proposed LIQUID-STATE DRIVE, a DNA block-device design intended to bridge DNA storage and computer-storage interfaces. The authors identify metadata management and access cost as challenges and report architecture-specific reductions in write and read costs. Those comparisons concern their DNA-storage system, not the physical write speed or bandwidth of colloidal or electrolithic memory. The FAST ’25 paper page describes the proposal and its evaluation.

Are liquid-based memories available to buy?

The colloidal and electrolithic architectures described by imec are research concepts, not consumer storage products. The cited work also does not establish consumer hardware or media for implementing the related DNA-storage demonstrations. For readers evaluating storage today, these ideas are best understood as exploratory research into possible future architectures, not as alternatives they can currently deploy.

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