We implement network algorithms into actual physical networks by designing junctions that guide the filaments according to the rules defined by each algorithm. For example, we have designed split junctions, that equally distribute filaments to all exit channels and pass junctions that ensure that filaments always move straight across the junction. Computer simulations optimize each type of junction before fabrication and testing. We are developing new technologies such as true 3D laser writing, switchable smart polymer gates and automated detectors. These technologies will allow us to fabricate error-free 3D junctions and active junctions that can switch between different junction types. Such junctions will not only enable larger networks that can solve several different problems but also more sophisticated, dynamic programming algorithms, that can operate without human interaction.
The Bio4Comp approach needs a real scale-up from lab-scale test samples to large-scale biocomputation networks. In order to achieve both upscaling regarding network size and downscaling regarding feature dimensions, we use standard microfabrication and advanced nanopatterning techniques such as electron beam nanolithography and two-photon polymerization. Our research is devoted to process engineering and materials science to achieve the scaled-up biocomputation network structures. The work program also includes integration concepts for the various architectural components (channel junctions, agent detectors) to allow the programmability of the network structures.
"One of the most exciting aspects of network-based computing with molecular motors is that it needs hundred to thousand times less energy than electronic computers."
Heiner Linke, Project coordinator
This project has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 732482.
Call: FETPROACT-2016; Type of Action: RIA (Research and Innovation Action)