Nicholas Schiefer

  • Citations Per Year
Learn More
Tile-based self-assembly and chemical reaction networks provide two well-studied models of scalable DNA-based computation. Although tile self-assembly provides a powerful framework for describing Turing-universal self-assembling systems, assembly logic in tile selfassembly is localized, so that only the nearby environment can affect the process of(More)
In isolation, chemical reaction networks and tile-based selfassembly are well-studied models of chemical computation. Previously, we introduced the chemical reaction network-controlled tile assembly model (CRN-TAM), in which a stochastic chemical reaction network can act as a non-local control and signalling system for tile-based assembly, and showed that(More)
Tensors, which are the linear-algebraic extensions of matrices in arbitrary dimensions, have numerous applications to data processing tasks in computer science and computational science. Many tensors used in diverse application domains are sparse, typically containing more than 90% zero entries. Efficient computation with sparse tensors hinges on algorithms(More)
  • 1