Researchers develop new technique for molecular computing – Uplaza

Sep 30, 2024

(Nanowerk Information) Researchers on the College of Twente have developed a brand new technique that permits them to exactly management chemical reactions utilizing metallic ions. This marks an vital step in the direction of computer systems that perform just like the human mind. They lately printed their findings within the scientific journal Nature Communications (“Exploring the programmability of autocatalytic chemical reaction networks”).

All dwelling issues can reply to their setting via a sequence of advanced chemical reactions. This type of data processing requires far much less power than that of digital computer systems. Consequently, the underlying processes are essentially totally different. For many years, researchers have been looking for a solution to recreate nature’s data processing utilizing molecules. Experimental set-up. (Picture: College of Twente)

Mathematical capabilities

On this examine, researchers from the College of Twente succeeded in imitating advanced mathematical capabilities with metallic ions. This included polynomials like linear equations and parabolas, in addition to logical Boolean capabilities that produce totally different outcomes based mostly on the enter.

Reactions with reminiscence

The researchers have been capable of program the chemical reactions to not solely reply to present situations, but in addition ‘remember’ earlier occasions. ‘We have found a possible building block for intelligent systems,’ says researcher Albert Wong. Utilizing metallic ions, the researchers managed the speed of autocatalytic reactions. These are chemical reactions that speed up themselves. They utilized this system to transform the molecule trypsinogen to trypsin. By including a substance that may decelerate this conversion, the researchers created a system that may linger in two states. This enables the system to quickly retailer data, giving it a type of reminiscence.

Mind-like computer systems

The invention opens up new prospects for programming easy chemical networks for functions in synthetic intelligence and sensible supplies. The analysis may even have a serious affect on different scientific fields, akin to nanobiotechnology and analysis into the chemical origins of life.
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