activity
20132021
most citedAutocatalysis in Reaction Networks

23 citations · 37 across the 9 of their papers we have counts for

collaborators

12 papers

math.DS2021

Minimal invariant regions and minimal globally attracting regions for variable-k reaction systems

Yida Ding, Abhishek Deshpande, Gheorghe Craciun

The structure of invariant regions and globally attracting regions is fundamental to understanding the dynamical properties of reaction network models. We describe an explicit cons…

math.DS2021

Homeostasis and injectivity: a reaction network perspective

Gheorghe Craciun, Abhishek Deshpande

Homeostasis is a mechanism by which a feature can remain invariant with change in external parameters. We adopt the definition of homeostasis in the context of singularity theory.…

math.DS2020

Autocatalytic systems and recombination: a reaction network perspective

Gheorghe Craciun, Abhishek Deshpande, Badal Joshi +1

Autocatalytic systems are very often incorporated in the "origin of life" models, a connection that has been analyzed in the context of the classical hypercycles introduced by Manf…

cs.NE2020

On reaction network implementations of neural networks

David F. Anderson, Badal Joshi, Abhishek Deshpande

This paper is concerned with the utilization of deterministically modeled chemical reaction networks for the implementation of (feed-forward) neural networks. We develop a general…

math.DS2020

Minimal invariant regions and minimal globally attracting regions for toric differential inclusions

Yida Ding, Abhishek Deshpande, Gheorghe Craciun

Toric differential inclusions occur as key dynamical systems in the context of the Global Attractor Conjecture. We introduce the notions of minimal invariant regions and minimal gl…

math.DS2019

Quasi-Toric Differential Inclusions

Gheorghe Craciun, Abhishek Deshpande, Hyejin Jenny Yeon

Toric differential inclusions play a pivotal role in providing a rigorous interpretation of the connection between weak reversibility and the persistence of mass-action systems and…

math.DS2019

Endotactic Networks and Toric Differential Inclusions

Gheorghe Craciun, Abhishek Deshpande

An important dynamical property of biological interaction networks is persistence, which intuitively means that "no species goes extinct". It has been conjectured that dynamical sy…

q-bio.MN2019

Optimizing enzymatic catalysts for rapid turnover of substrates with low enzyme sequestration

Abhishek Deshpande, Thomas E. Ouldridge

We analyse the mechanism of enzyme-substrate catalysis from the perspective of minimizing the load on the enzymes through sequestration, whilst maintaining at least a minimum react…

cond-mat.stat-mech2017★ 13 cited

Designing the Optimal Bit: Balancing Energetic Cost, Speed and Reliability

Abhishek Deshpande, Manoj Gopalkrishnan, Thomas E. Ouldridge +1

We consider the technologically relevant costs of operating a reliable bit that can be erased rapidly. We find that both erasing and reliability times are non-monotonic in the unde…

cond-mat.stat-mech2016★ 1 cited

A Bayesian view of Single-Qubit Clocks, and an Energy versus Accuracy tradeoff

Manoj Gopalkrishnan, Varshith Kandula, Praveen Sriram +2

We bring a Bayesian approach to the analysis of clocks. Using exponential distributions as priors for clocks, we analyze how well one can keep time with a single qubit freely prece…

quant-ph2014

Measurement Induced Randomness and State Merging

Indranil Chakrabarty, Abhishek Deshpande, Sourav Chatterjee

In this work we introduce the randomness which is truly quantum mechanical in nature arising as an act of measurement. For a composite classical system we have the joint entropy to…

math.DS2013★ 23 cited

Autocatalysis in Reaction Networks

Abhishek Deshpande, Manoj Gopalkrishnan

The persistence conjecture is a long-standing open problem in chemical reaction network theory. It concerns the behavior of solutions to coupled ODE systems that arise from applyin…