Michael J. Shelley

30 papers Journal 30

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Inferring biological processes with intrinsic noise from cross-sectional data. CoRR Suryanarayana Maddu, Victor Chardès, Michael J. Shelley
2024	J	`jnl`	Learning fast, accurate, and stable closures of a kinetic theory of an active fluid. J. Comput. Phys. Suryanarayana Maddu, Scott Weady, Michael J. Shelley
2023	J	`jnl`	Interpretable neural architecture search and transfer learning for understanding CRISPR-Cas9 off-target enzymatic reactions. Nat. Comput. Sci. Zijun Zhang, Adam R. Lamson, Michael J. Shelley, Olga G. Troyanskaya
2023	J	`jnl`	Interpretable neural architecture search and transfer learning for understanding sequence dependent enzymatic reactions. CoRR Zijun Zhang, Adam R. Lamson, Michael J. Shelley, Olga G. Troyanskaya
2023	J	`jnl`	Stochastic force inference via density estimation. CoRR Victor Chardès, Suryanarayana Maddu, Michael J. Shelley
2022	J	`jnl`	A fast Chebyshev method for the Bingham closure with application to active nematic suspensions. J. Comput. Phys. Scott Weady, Michael J. Shelley, David B. Stein
2021	J	`jnl`	A fast Chebyshev method for the Bingham closure with application to active nematic suspensions. CoRR Scott Weady, David B. Stein, Michael J. Shelley
2021	J	`jnl`	A stable and accurate scheme for solving the Stefan problem coupled with natural convection using the Immersed Boundary Smooth Extension method. J. Comput. Phys. Jinzi Mac Huang, Michael J. Shelley, David B. Stein
2020	J	`jnl`	A scalable computational platform for particulate Stokes suspensions. J. Comput. Phys. Wen Yan, Eduardo Corona, Dhairya Malhotra, Shravan K. Veerapaneni, Michael J. Shelley
2020	J	`jnl`	A stable and accurate scheme for solving the Stefan problem coupled with natural convection using the Immersed Boundary Smooth Extension method. CoRR Jinzi Mac Huang, Michael J. Shelley, David B. Stein
2019	J	`jnl`	A scalable computational platform for particulate Stokes suspensions. CoRR Wen Yan, Eduardo Corona, Dhairya Malhotra, Shravan K. Veerapaneni, Michael J. Shelley
2018	J	`jnl`	Directed Migration of Microscale Swimmers by an Array of Shaped Obstacles: Modeling and Shape Optimization. SIAM J. Appl. Math. Jiajun Tong, Michael J. Shelley
2018	J	`jnl`	Flexibly imposing periodicity in kernel independent FMM: A multipole-to-local operator approach. J. Comput. Phys. Wen Yan, Michael J. Shelley
2018	J	`jnl`	Universal image systems for non-periodic and periodic Stokes flows above a no-slip wall. J. Comput. Phys. Wen Yan, Michael J. Shelley
2017	J	`jnl`	A fast platform for simulating semi-flexible fiber suspensions applied to cell mechanics. J. Comput. Phys. Ehssan Nazockdast, Abtin Rahimian, Denis Zorin, Michael J. Shelley
2012	J	`jnl`	Editorial. Adv. Comput. Math. Leslie Greengard, Michael J. Shelley
2011	J	`jnl`	Applying a second-kind boundary integral equation for surface tractions in Stokes flow. J. Comput. Phys. Eric E. Keaveny, Michael J. Shelley
2010	J	`jnl`	LFP spectral peaks in V1 cortex: network resonance and cortico-cortical feedback. J. Comput. Neurosci. Kukjin Kang, Michael J. Shelley, James Andrew Henrie, Robert Shapley
2010	J	`jnl`	Modeling simple locomotors in Stokes flow. J. Comput. Phys. Alex Kanevsky, Michael J. Shelley, Anna-Karin Tornberg
2010	J	`jnl`	Shape optimization of peristaltic pumping. J. Comput. Phys. Shawn W. Walker, Michael J. Shelley
2009	J	`jnl`	A neuronal network model of primary visual cortex explains spatial frequency selectivity. J. Comput. Neurosci. Wei Zhu, Michael J. Shelley, Robert Shapley
2008	J	`jnl`	Retinal and cortical nonlinearities combine to produce masking in V1 responses to plaids. J. Comput. Neurosci. Melinda Evrithiki Koelling, Robert Shapley, Michael J. Shelley
2008	J	`jnl`	Theoretical analysis of reverse-time correlation for idealized orientation tuning dynamics. J. Comput. Neurosci. Gregor Kovacic, Louis Tao, David Cai, Michael J. Shelley
2006	J	`jnl`	Moore's law and the Saffman-Taylor instability. J. Comput. Phys. Petri Fast, Michael J. Shelley
2002	J	`jnl`	Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli. J. Comput. Neurosci. Michael J. Shelley, David McLaughlin
2002	J	`jnl`	States of High Conductance in a Large-Scale Model of the Visual Cortex . J. Comput. Neurosci. Michael J. Shelley, David McLaughlin, Robert Shapley, Jacob Wielaard
2001	J	`jnl`	Efficient and Accurate Time-Stepping Schemes for Integrate-and-Fire Neuronal Networks. J. Comput. Neurosci. Michael J. Shelley, Louis Tao
2000	J	`jnl`	Computational Modeling of Orientation Tuning Dynamics in Monkey Primary Visual Cortex. J. Comput. Neurosci. M. C. Pugh, Dario L. Ringach, Robert Shapley, Michael J. Shelley
1993	J	`jnl`	High-Order and Efficient Methods for the Vorticity Formulation of the Euler Equations. SIAM J. Sci. Comput. John S. Lowengrub, Michael J. Shelley, Barry Merriman
1993	J	`jnl`	The Convergence of an Exact Desingularization for Vortex Methods. SIAM J. Sci. Comput. Thomas Y. Hou, John S. Lowengrub, Michael J. Shelley