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Chemical reaction systems are dynamical systems that arise in chemical engineering and systems biology. In this work, we consider the question of whether the minimal (in a precise sense) multistationary chemical reaction networks, which we…

Dynamical Systems · Mathematics 2012-07-10 Badal Joshi , Anne Shiu

Analog-to-digital converters (ADCs) allow physical signals to be processed using digital hardware. Their conversion consists of two stages: Sampling, which maps a continuous-time signal into discrete-time, and quantization, i.e.,…

Signal Processing · Electrical Eng. & Systems 2023-01-25 Nir Shlezinger , Ariel Amar , Ben Luijten , Ruud J. G. van Sloun , Yonina C. Eldar

The transport of macromolecules, such as DNA, through the cytoskeleton is critical to wide-ranging cellular processes from cytoplasmic streaming to transcription. The rigidity and steric hindrances imparted by the network of filaments…

As computational chemistry methods evolve, dynamic effects have been increasingly recognized to govern chemical reaction pathways in both organic and inorganic systems. Here, we introduce a committor-based workflow that integrates a…

Statistical Mechanics · Physics 2025-12-01 Radu A. Talmazan , Christophe Chipot

Incorporating cells within active biomaterial scaffolds is a promising strategy to develop forefront materials that can autonomously sense, respond, and alter the scaffold in response to environmental cues or internal cell circuitry. Using…

The formation and regulation of macromolecular complexes provides the backbone of most cellular processes, including gene regulation and signal transduction. The inherent complexity of assembling macromolecular structures makes current…

Molecular Networks · Quantitative Biology 2007-05-23 Leonor Saiz , Jose M. G. Vilar

Ratchet effects can arise for single or collectively interacting Brownian particles on an asymmetric substrate when a net dc transport is produced by an externally applied ac driving force or by periodically flashing the substrate.…

Soft Condensed Matter · Physics 2017-12-06 C. J. Olson Reichhardt , C. Reichhardt

Cache-enabled Device-to-Device (D2D) communication is widely recognized as one of the key components of the emerging fifth generation (5G) cellular network architecture. However, conventional half-duplex (HD) transmission may not be…

Information Theory · Computer Science 2018-02-08 Mansour Naslcheraghi , Mehrnaz Afshang , Harpreet S. Dhillon

Hybrid circuit and packet switching for data center networking (DCN) has received considerable research attention recently. A hybrid-switched DCN employs a much faster circuit switch that is reconfigurable with a nontrivial cost, and a much…

Networking and Internet Architecture · Computer Science 2017-12-20 Liang Liu , Long Gong , Sen Yang , Jun Xu , Lance Fortnow

A mechanism of double strand breaking (DSB) in DNA due to the action of two electrons is considered. These are the electrons produced in the vicinity of DNA molecules due to ionization of water molecules with a consecutive emission of two…

Biological Physics · Physics 2015-06-03 Eugene Surdutovich , Andrey V. Solov'yov

Most binary superlattices created using DNA functionalization or other approaches rely on particle size differences to achieve compositional order and structural diversity. Here we study two-dimensional (2D) assembly of DNA-functionalized…

Soft Condensed Matter · Physics 2017-03-13 Minseok Song , Yajun Ding , Hasan Zerze , Mark A. Snyder , Jeetain Mittal

An easily implementable path solution algorithm for 2D spatial problems, based on excitable/programmable characteristics of a specific cellular nonlinear network (CNN) model is presented and numerically investigated. The network is a single…

Robotics · Computer Science 2007-05-23 Koray Karahaliloglu

A key challenge for AI is to build embodied systems that operate in dynamically changing environments. Such systems must adapt to changing task contexts and learn continuously. Although standard deep learning systems achieve state of the…

Neural and Evolutionary Computing · Computer Science 2022-04-26 Abhiram Iyer , Karan Grewal , Akash Velu , Lucas Oliveira Souza , Jeremy Forest , Subutai Ahmad

We show that discrete distributions on the $d$-dimensional non-negative integer lattice can be approximated arbitrarily well via the marginals of stationary distributions for various classes of stochastic chemical reaction networks. We…

Computational Complexity · Computer Science 2019-10-01 Daniele Cappelletti , Andrés Ortiz-Muñoz , David Anderson , Erik Winfree

Time-dependent multiphysics interactions that drive the energy transfer in electromechanical systems are poorly understood. We probe dielectric barrier discharge (DBD) with an external DC-augmented (DCA) field to reveal new mechanistic…

Plasma Physics · Physics 2024-03-28 Anthony Tang , Alberto Aliseda , Alexander Mamishev , Igor Novosselov

The construction of synthetic biochemical circuits is an essential step for developing quantitative understanding of information processing in natural organisms. Here, we report construction and analysis of an in vitro circuit with positive…

Molecular Networks · Quantitative Biology 2012-06-28 Pakpoom Subsoontorn , Jongmin Kim , Erik Winfree

When dealing with deep neural network (DNN) applications on edge devices, continuously updating the model is important. Although updating a model with real incoming data is ideal, using all of them is not always feasible due to limits, such…

Machine Learning · Computer Science 2023-03-23 Yuya Senzaki , Christian Hamelain

Renaturation of complementary single strands of DNA is one of the important processes that requires better understanding in the view of molecular biology and biological physics. Here we develop a stochastic dynamical model on the DNA…

Subcellular Processes · Quantitative Biology 2016-04-15 Gnanapragasam Niranjani , Rajamanickam Murugan

Bistability plays a central role in the gene regulatory networks (GRNs) controlling many essential biological functions, including cellular differentiation and cell cycle control. However, establishing the network topologies that can…

Molecular Networks · Quantitative Biology 2015-03-19 Dan Siegal-Gaskins , Maria Katherine Mejia-Guerra , Gregory D. Smith , Erich Grotewold

In biochemical networks, complex dynamical features such as superlinear growth and oscillations are classically considered a consequence of autocatalysis. For the large class of parameter-rich kinetic models, which includes Generalized Mass…

Molecular Networks · Quantitative Biology 2024-03-06 Nicola Vassena , Peter F. Stadler