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Showing 1–12 of 12 results
Advanced filters: Author: Arvind Murugan Clear advanced filters

  • Energy dissipation characterizes the states far from equilibrium, whilst how it affects the local organization remains elusive. Here, Muruganet al. show that the non-equilibrium systems exhibit topologically protected boundary modes that have been known in electronic and mechanical systems.

    • Arvind Murugan
    • Suriyanarayanan Vaikuntanathan
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-6

  • Biological and synthetic systems seek to assemble complex structures, such as protein or DNA assemblies, out of many distinct building blocks. Here, the authors show that the optimal supply of building blocks must account for the composition of undesired structures and not just the desired structure.

    • Arvind Murugan
    • James Zou
    • Michael P. Brenner
    Research
    Nature Communications
    Volume: 6, P: 1-10

  • How cells use biophysical processes to interpret complex input signals is not well understood. This study reveals limits to the computational power of generic non-equilibrium systems and shows how they can be overcome through features like enzymes acting on multiple targets.

    • Carlos Floyd
    • Aaron R. Dinner
    • Suriyanarayanan Vaikuntanathan
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-12

  • Artificial neural networks can be trained using backpropagation because of the sophisticated digital hardware they run on. Here, the authors show how many simple physical systems can autonomously be trained to perform complex computations without needing to interface with any digital hardware.

    • Martin J. Falk
    • Adam T. Strupp
    • Arvind Murugan
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-13

  • Origami is widely practiced in the design of foldable structures for smart applications and usually consists of stiff sheets that only deform along prescribed creases. Pinsonet al. take a statistical physics approach to design and characterize arbitrary patterns as a function of folding energy.

    • Matthew B. Pinson
    • Menachem Stern
    • Arvind Murugan
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-8

  • Synthetic chemical networks with far-from-equilibrium dynamics akin to genetic regulatory networks in living cells could precisely regulate the kinetics of chemical synthesis or self-assembly. Now standardized excitable chemical regulatory elements, termed genelets, that enable predictive bottom-up construction of in vitro networks with designed temporal and multistable behaviour have been developed.

    • Samuel W. Schaffter
    • Kuan-Lin Chen
    • Rebecca Schulman
    Research
    Nature Chemistry
    Volume: 14, P: 1224-1232

  • Examination of nucleation during self-assembly of multicomponent structures illustrates how ubiquitous molecular phenomena inherently classify high-dimensional patterns of concentrations in a manner similar to neural network computation.

    • Constantine Glen Evans
    • Jackson O’Brien
    • Arvind Murugan
    ResearchOpen Access
    Nature
    Volume: 625, P: 500-507

  • Self-folding origami have applications for mechanical metamaterials but one of their pitfalls is that many undesirable folding modes exist. Here the authors propose an algorithm to determine which folding joints to make stiffer in order to ensure that the sheet is folded into the chosen state.

    • Menachem Stern
    • Viraaj Jayaram
    • Arvind Murugan
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-8

  • Circadian clocks must maintain their fidelity despite stochasticity arising from finite protein copy numbers. Here, the authors show that a small cyanobacterium relies on an environmentally driven timer likely because its low protein copy numbers cannot support an accurate free-running clock.

    • Justin Chew
    • Eugene Leypunskiy
    • Michael J. Rust
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-10