John F. Lindner

Computer Science · Physical Sciences

21h-index2.0kcitations149works0.32yr avg
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Research Topics

Nonlinear Dynamics and Pattern Formation(29), stochastic dynamics and bifurcation(28), Neural Networks and Applications(19), Astro and Planetary Science(14), Chaos control and synchronization(11)

Publications149 total

The direct effect of a toroidal magnetic field on stellar oscillations. A revised expression for the general matrix element
Springer Link (Chiba Institute of Technology)·2026
The direct effect of a toroidal magnetic field on stellar oscillations. A revised expression for the general matrix element
Astronomy and Astrophysics·2026Open Access
Chemical wires: reaction-diffusion waves as analogues of electron drift
Transport Phenomena·2025
Growing neural networks: dynamic evolution through gradient descent
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences·2025· 1 citedOpen Access
Logic with nonlinear maps
Physica D Nonlinear Phenomena·2025Open Access
Growing Neural Networks: Dynamic Evolution through Gradient Descent
arXiv (Cornell University)·2025Open Access
Autonomous Process Optimization Based on Machine Learning in a Novel Multi-Purpose Dual Shaft Mixer with Dynamically Adaptable Blades
SSRN Electronic Journal·2025Open Access
Chemistry does general relativity: reaction-diffusion waves can model gravitational lensing
Frontiers in Physics·2024· 1 citedOpen Access
Neuronal diversity can improve machine learning for physics and beyond
Scientific Reports·2023· 5 citedOpen Access
Solving quantum billiard eigenvalue problems with physics-informed machine learning
AIP Advances·2023· 6 citedOpen Access
Solving two-dimensional quantum eigenvalue problems using physics-informed machine learning
arXiv (Cornell University)·2023Open Access
Alien suns reversing in exoplanet skies
Scientific Reports·2022· 1 citedOpen Access
Neuronal diversity can improve machine learning for physics and beyond
arXiv (Cornell University)·2022Open Access
Equivalent initial bow imperfections for hollow sections
2021· 1 cited
Geographic tongue as a reaction–diffusion system
Chaos An Interdisciplinary Journal of Nonlinear Science·2021· 7 cited
Forecasting Hamiltonian dynamics without canonical coordinates
Nonlinear Dynamics·2021· 1 citedOpen Access
Negotiating the separatrix with machine learning
Nonlinear Theory and Its Applications IEICE·2021· 4 citedOpen Access
Disruption and recovery of reaction–diffusion wavefronts interacting with concave, fractal, and soft obstacles
Physica A Statistical Mechanics and its Applications·2020· 2 cited
Mastering high-dimensional dynamics with Hamiltonian neural networks
arXiv (Cornell University)·2020· 5 citedOpen Access
Physics-enhanced neural networks learn order and chaos
Physical review. E·2020· 77 citedOpen Access
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Frequent Co-authors

William L. Ditto(30), Behnam Kia(13), Adi R. Bulsara(9), Sudeshna Sinha(7), Vivek Kohar(6), Barbara J. Breen(5), Anshul Choudhary(4), Sarvenaz Kia(4), Brian K. Meadows(3), Michael Hippke(3), J. G. Learned(3), Scott T. Miller(3), Mario E. Inchiosa(2), Mark L. Spano(2), Elliott G. Holliday(2), Jonathan Mason(2), Joseph Neff(2), Bryan S. Prusha(2), Matthew R. Bennett(2), Kurt Wiesenfeld(2)