Researchers at Maynooth University have unveiled a thermodynamically favored molecular computer built from DNA strands in water. Coordinated through an EU-funded initiative, the system performs multiplication, division, and addition without continuous electricity, offering a glimpse toward energy-efficient computation and targeted molecular systems for disease detection.
Conventional silicon-based computing has long dominated the technological landscape, but its insatiable appetite for power has driven scientists to look elsewhere for inspiration. In Ireland, standard data centers consume a staggering 23 percent of the country’s electricity. Against that energy-intensive backdrop, a research team at Maynooth University has developed an alternative approach to information processing that draws on biological principles rather than electrical grids.
How Scaffolded DNA Computers Operate Without Electricity
The newly unveiled system, designated as a Scaffolded DNA Computer (SDC), operates using a small drop of salty water placed in a test tube alongside short pieces of DNA and a longer DNA scaffold. When heated and cooled, the mixture initiates a programmed calculation without requiring a continuous power supply. Long scaffold strands act as a backbone where hundreds of shorter strands bind at designed sites to encode bits.
“The molecules interact, form a structure and that structure is the answer. One key innovation is that the system naturally finds that answer without needing continuous energy inputs.”
Professor Damien Woods, Maynooth University
Rather than relying on active electrical circuits to force a result, the SDC relies on thermodynamic equilibrium. The cooling process guides the system to a thermodynamically favored equilibrium state that encodes the output of an algorithm. This natural evolution toward a stable state effectively bypasses the need for explicit error-correction subsystems.
Testing Multiplication, Division, and Addition in the Lab
The research team—consisting of Professor Damien Woods, Dr. Abeer Eshra, and Dr. Tristan Stérin, alongside Janet Adio and Dr. Constantine Evans—put the SDC through a series of ten distinct programs. The experiments successfully executed multiplication-by-3, division-by-2, 8-bit parity detection, and the addition of 25-bit numbers, amounting to a 100-bit computation.
Speed calculations varied widely depending on the scale of the program. A calculation involving 10 plus 3 reached its output in 30 seconds, while an experiment adding numbers in the range of roughly 11 million to 34 million took up to 14 hours. While these durations lag far behind silicon processors, the researchers note that the architecture achieves speeds comparable to the fastest non-trivial programs in existing DNA computing literature.
“A small droplet of liquid contains billions, and sometimes trillions, of DNA strands. These strands interact with one another to produce a result. The reaction happens fast in the test tube, but not as fast as silicon – nor is it intended to be. But compared to other DNA computers, ours is the fastest.”
Dr. Abeer Eshra, Maynooth University
Furthermore, the system demonstrated notable durability. Laboratory trials showed that the wet hardware is robust and reusable, capable of performing up to 25 different calculations in sequence.
European Funding and the Wider Path Forward
The breakthrough is housed within the Theory And Practice of DNA Computing Engines (TAPDANCE) research group at Maynooth University’s Hamilton Institute and Department of Computer Science. Financial backing for the underlying DISCO project—short for DNA-based infrastructure for Storage and Computation—comes from the European Union via the European Innovation Council Pathfinder Challenge on DNA-based digital data storage, accounting for about €4 million ($4.6 million).
The initiative coordinates multiple European partners, including Tilibit in Munich and PRGM.dev / Major Groove in Paris. While long-term data storage and energy-efficient computation represent potential avenues, critics and researchers alike acknowledge the severe hurdles facing DNA data storage access speeds and system complexity.
Instead, the most immediate and viable excitement surrounds biological integration. The ability to execute molecular-level programs opens future pathways for systems capable of operating directly inside human cells for applications such as disease detection and cellular reprogramming.
“This is blue-skies science. We don’t know where the future is going to take us.”
Professor Damien Woods, Maynooth University