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Found 13 papers, 8 papers with code
Cell reprogramming design by transfer learning of functional transcriptional networks
Recent developments in synthetic biology, next-generation sequencing, and machine learning provide an unprecedented opportunity to rationally design new disease treatments based on measured responses to gene perturbations and drugs to reprogram cells.
Target Controllability and Target Observability of Structured Network Systems
The duality between controllability and observability enables methods developed for full-state control to be applied to full-state estimation, and vice versa.
Prevalence of multistability and nonstationarity in driven chemical networks
By quantifying the prevalence of these bifurcations, we show how chemical driving and network sparsity tend to promote the emergence of these complex dynamics and increased rates of entropy production.
Prevalence and scalable control of localized networks
The ability to control network dynamics is essential for ensuring desirable functionality of many technological, biological, and social systems.
Functional observability and target state estimation in large-scale networks
The quantitative understanding and precise control of complex dynamical systems can only be achieved by observing their internal states via measurement and/or estimation.
Hierarchical Power Flow Control in Smart Grids: Enhancing Rotor Angle and Frequency Stability with Demand-Side Flexibility
Large-scale integration of renewables in power systems gives rise to new challenges for keeping synchronization and frequency stability in volatile and uncertain power flow states.
Practical Challenges in Real-time Demand Response
We report on a real-time demand response experiment with 100 controllable devices.
Unified treatment of synchronization patterns in generalized networks with higher-order, multilayer, and temporal interactions
When describing complex interconnected systems, one often has to go beyond the standard network description to account for generalized interactions.
Adaptation and Self-Organizing Systems Disordered Systems and Neural Networks
Distinguishing Cell Phenotype Using Cell Epigenotype
The relationship between microscopic observations and macroscopic behavior is a fundamental open question in biophysical systems.
Symmetry-independent stability analysis of synchronization patterns
The field of network synchronization has seen tremendous growth following the introduction of the master stability function (MSF) formalism, which enables the efficient stability analysis of synchronization in large oscillator networks.
Adaptation and Self-Organizing Systems Disordered Systems and Neural Networks Dynamical Systems Chaotic Dynamics
Critical Switching in Globally Attractive Chimeras
We report on a new type of chimera state that attracts almost all initial conditions and exhibits power-law switching behavior in networks of coupled oscillators.
Disordered Systems and Neural Networks Dynamical Systems Adaptation and Self-Organizing Systems Chaotic Dynamics Pattern Formation and Solitons
Topological Control of Synchronization Patterns: Trading Symmetry for Stability
Symmetries are ubiquitous in network systems and have profound impacts on the observable dynamics.
Adaptation and Self-Organizing Systems Disordered Systems and Neural Networks Chaotic Dynamics Pattern Formation and Solitons
Asymmetry-Induced Synchronization in Oscillator Networks
A scenario has recently been reported in which in order to stabilize complete synchronization of an oscillator network---a symmetric state---the symmetry of the system itself has to be broken by making the oscillators nonidentical.
Adaptation and Self-Organizing Systems Disordered Systems and Neural Networks Chaotic Dynamics Pattern Formation and Solitons
