Sudeshna Sinha

Works (6)

Updated: April 15th, 2024 08:54

2023 journal article

Neuronal diversity can improve machine learning for physics and beyond

SCIENTIFIC REPORTS, 13(1).

By: A. Choudhary n, A. Radhakrishnan n, J. Lindner n, S. Sinha* & W. Ditto n 

Sources: Web Of Science, NC State University Libraries
Added: April 8, 2024

2022 journal article

Reconfigurable Noise-Assisted Logic Gates Exploiting Nonlinear Transformation of Input Signals

PHYSICAL REVIEW APPLIED, 18(1).

By: K. Murali*, W. Ditto n  & S. Sinha*

Sources: Web Of Science, ORCID, NC State University Libraries
Added: July 26, 2022

2021 journal article

Construction of logic gates exploiting resonance phenomena in nonlinear systems

By: K. Murali*, S. Rajasekar*, M. Aravind*, V. Kohar*, W. Ditto n  & S. Sinha*

author keywords: stochastic resonance; logical stochastic resonance; noisy logic
TL;DR: The conventional LSR paradigm is extended to implement higher-level logic architecture or typical digital electronic structures via carefully crafted coupling schemes and to realize morphable logic gates through the Logical Coherence Resonance in excitable systems under the influence of noise. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: February 15, 2021

2021 journal article

Forecasting Hamiltonian dynamics without canonical coordinates

NONLINEAR DYNAMICS, 103(2), 1553–1562.

By: A. Choudhary n, J. Lindner n, E. Holliday n, S. Miller n, S. Sinha n & W. Ditto n 

author keywords: Neural networks; Hamiltonian dynamics; Canonical coordinates; Time series forecasting
TL;DR: This work prepend a conventional neural network to a Hamiltonian neural network and shows that the combination accurately forecasts Hamiltonian dynamics from generalised noncanonical coordinates. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: February 8, 2021

2021 journal article

Harnessing tipping points for logic operations

EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 230(16-17), 3403–3409.

By: K. Murali*, S. Sinha*, V. Kohar* & W. Ditto n 

TL;DR: The presence of tipping points in complex systems endows it with the capability to switch between very different attractors under small changes in parameter, and this feature can be exploited to obtain reliable logic operations. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: April 19, 2021

2021 journal article

Negotiating the separatrix with machine learning

IEICE NONLINEAR THEORY AND ITS APPLICATIONS, 12(2), 134–142.

By: S. Miller n, J. Lindner n, A. Choudhary n, S. Sinha* & W. Ditto n 

author keywords: machine learning; neural networks; Hamiltonian dynamics
TL;DR: This work uses the framework of Hamiltonian Neural Networks (HNN) to learn the complex dynamics of nonlinear single and double pendulums, which can both librate and rotate, by mapping the unbounded phase space onto a compact cylinder. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 1, 2021

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