C. Peskin

发表

C. Peskin, 2002, Acta Numerica.

Heart Simulation by an Immersed Boundary Method with Formal Second-order Accuracy and Reduced Numerical Viscosity

C. Peskin, D. McQueen, 2001 .

A detailed predictive model of the mammalian circadian clock

Daniel B. Forger, C. Peskin, D. Forger, 2003, Proceedings of the National Academy of Sciences of the United States of America.

Acta Numerica 2002: The immersed boundary method

C. Peskin, 2002 .

Numerical analysis of blood flow in the heart

C. Peskin, 1977 .

Numerical solution of the three-dimensional Stokes' equations in the presence of suspended particles.

A. Fogelson, C. Peskin, 1986 .

Implicit second-order immersed boundary methods with boundary mass

C. Peskin, Yoichiro Mori, 2008 .

Modelling cardiac fluid dynamics and diastolic function

C. Peskin, D. McQueen, S. Kovacs, 2001, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

Simulation of a Flapping Flexible Filament in a Flowing Soap Film by the Immersed Boundary Method

C. Peskin, Luoding Zhu, 2002 .

Mechanical equilibrium determines the fractal fiber architecture of aortic heart valve leaflets.

C. Peskin, D. McQueen, 1994, The American journal of physiology.

A three-dimensional computer model of the human heart for studying cardiac fluid dynamics

C. Peskin, D. McQueen, 2000, SIGGRAPH 2000.

Penalty immersed boundary method for an elastic boundary with mass

Yongsam Kim, C. Peskin, 2007 .

Fluid Dynamics of the Heart and its Valves

C. Peskin, D. McQueen, 1996 .

Flow patterns around heart valves: A numerical method

C. Peskin, 1972 .

On various techniques for computer simulation of boundaries with mass

Yongsam Kim, C. Peskin, Luoding Zhu, 2003 .

An Immersed Boundary Method with Formal Second-Order Accuracy and Reduced Numerical Viscosity

M. Lai, C. Peskin, 2000 .

The Fluid Dynamics of Heart Valves: Experimental, Theoretical, and Computational Methods

C. Peskin, 1982 .

An Adaptive Version of the Immersed Boundary Method

M. Berger, A. M. Roma, C. Peskin, 1999 .

Interaction of two flapping filaments in a flowing soap film

C. Peskin, Luoding Zhu, 2003 .

Flow patterns around heart valves: a digital computer method for solving the equations of motion

Charles S. Peskin, C. Peskin, 1973 .

A computational fluid dynamics of `clap and fling' in the smallest insects

C. Peskin, L. Miller, 2005, Journal of Experimental Biology.

Molecular dynamics by the backward-Euler method

T. Schlick, C. Peskin, 1989 .

Analysis of the backward-Euler/Langevin method for molecular dynamics

C. Peskin, 1990 .

Modeling and Simulation in Medicine and the Life Sciences

F. Hoppensteadt, C. Peskin, 2001 .

An analysis of the structural and energetic properties of deoxyribose by potential energy methods

M. Overton, T. Schlick, C. Peskin, 1987 .

A three-dimensional computational method for blood flow in the heart. 1. Immersed elastic fibers in a viscous incompressible fluid

C. Peskin, D. McQueen, 1989 .

On the hyper-elastic formulation of the immersed boundary method

L. Heltai, D. Boffi, L. Gastaldi, 2008 .

Comment on ‘‘Backward Euler and other methods for simulating molecular fluids’’ [J. Chem. Phys. 103, 3718 (1995)]

T. Schlick, C. Peskin, 1995 .

Stochastic mRNA Synthesis in Mammalian Cells

D. Tranchina, Sanjay Tyagi, A. Raj, 2006, PLoS biology.

Stochastic simulation of the mammalian circadian clock.

Daniel B. Forger, Daniel B Forger, Charles S Peskin, 2005, Proceedings of the National Academy of Sciences of the United States of America.

Development and validation of computational models for mammalian circadian oscillators.

Albert Goldbeter, Daniel B. Forger, Katherine Gurdziel, 2003, Omics : a journal of integrative biology.

A robust numerical algorithm for studying biomolecular transport processes.

T. Elston, C. Peskin, Hongyun Wang, 2003, Journal of theoretical biology.

A computational model of aquatic animal locomotion

L. Fauci, C. Peskin, 1988 .

A fast numerical method for solving the three-dimensional Stokes' equations in the presence of suspended particles

A. Fogelson, C. Peskin, 1988 .

Modeling and simulation of active suspensions containing large numbers of interacting micro-swimmers

C. Peskin, Enkeleida Lushi, E. Lushi, 2013 .

Spontaneous oscillation and fluid–structure interaction of cilia

C. Peskin, Jihun Han, Jihun Han, 2018, Proceedings of the National Academy of Sciences.

Numerical Simulation and Experimental Validation of Blood Flow in Arteries with Structured-Tree Outflow Conditions

M. Olufsen, E. M. Pedersen, C. Peskin, 2000, Annals of Biomedical Engineering.

Distortion of the arterial pulse

R. Caflisch, C. Peskin, G. Majda, 1980 .

Homogenization of an Electrophysiological Model for a Strand of Cardiac Myocytes with Gap-Junctional and Electric-Field Coupling

C. Peskin, Paul E. Hand, 2010, Bulletin of mathematical biology.

Deriving Macroscopic Myocardial Conductivities by Homogenization of Microscopic Models

Boyce E. Griffith, C. Peskin, B. Griffith, 2009, Bulletin of mathematical biology.

Improved signaling as a result of randomness in synaptic vesicle release

C. Peskin, Calvin Zhang, 2015, Proceedings of the National Academy of Sciences.

A three-dimensional computational method for blood flow in the heart. II. contractile fibers

C. Peskin, D. McQueen, 1989 .

Simulating the blood-muscle-valve mechanics of the heart by an adaptive and parallel version of the immersed boundary method

Boyce E. Griffith, C. Peskin, B. Griffith, 2005 .

Flexible clap and fling in tiny insect flight

C. Peskin, L. Miller, 2009, Journal of Experimental Biology.

Analysis, Simulation, and Optimization of Stochastic Vesicle Dynamics in Synaptic Transmission

C. Peskin, Calvin Zhang, 2019, Communications on Pure and Applied Mathematics.

On the foundations of the stochastic immersed boundary method

P. Kramer, C. Peskin, P. Atzberger, 2008 .

When vortices stick: an aerodynamic transition in tiny insect flight

C. Peskin, L. Miller, 2004, Journal of Experimental Biology.

On the construction of the Voronoi mesh on a sphere

Charles S. Peskin, C. Peskin, J. Augenbaum, 1985 .

Arrhythmogenic consequences of action potential duration gradients in the atria.

Charles Peskin, David McQueen, Edward Vigmond, 2011, The Canadian journal of cardiology.

Partial differential equations in biology

Charles S. Peskin, C. Peskin, 1976 .

- 1-A COMPUTATIONAL FLUID DYNAMICS STUDY OF ‘ CLAP AND FLING ’ IN THE SMALLEST INSECTS

Charles S. Peskin, Laura A. Miller, C. Peskin, 2004 .

A numerical method for cellular electrophysiology based on the electrodiffusion equations with internal boundary conditions at membranes

Charles S. Peskin, Yoichiro Mori, C. Peskin, 2009 .

Modeling the complete cardiac ganglion – heart muscle network of the crab Callinectes sapidus

C. Peskin, V. Brezina, Mark W. Miller, 2009, BMC Neuroscience.

Cellular motions and thermal fluctuations: the Brownian ratchet.

C S Peskin, G F Oster, G. Odell, 1993, Biophysical journal.

Simulating cardiovascular fluid dynamics by the immersed boundary method

Boyce E. Griffith, Charles S. Peskin, David M. McQueen, 2009 .

The influence of volume exclusion by chromatin on the time required to find specific DNA binding sites by diffusion

Charles S. Peskin, D. M. McQueen, S. Isaacson, 2011, Proceedings of the National Academy of Sciences.

A Brownian Dynamics Model of Kinesin in Three Dimensions Incorporating the Force-Extension Profile of the Coiled-Coil Cargo Tether

Paul J Atzberger, Charles S Peskin, C. Peskin, 2006, Bulletin of mathematical biology.

What drives the translocation of proteins?

G. Oster, C. Peskin, S. Simon, 1992, Proceedings of the National Academy of Sciences of the United States of America.

The Correlation Ratchet: A Novel Mechanism for Generating Directed Motion by ATP Hydrolysis

Charles S. Peskin, G. B. Ermentrout, George Oster, 1994 .

Modeling Arteriolar Flow and Mass Transport Using the Immersed Boundary Method

Charles S. Peskin, E. Bruce Pitman, Harold E. Layton, 1998 .

Dynamics of Stochastic Neuronal Networks and the Connections to Random Graph Theory

J. Spencer, R. DeVille, C. Peskin, 2010 .

A One-dimensional Model of Blood Flow in Arteries with Friction and Convection Based on the Womersley Velocity Profile

Karim Azer, Charles S Peskin, C. Peskin, 2007, Cardiovascular engineering.

Can classical equations simulate quantum‐mechanical behavior? a molecular dynamics investigation of a diatomic molecule with a morse potential

Tamar Schlick, Charles S. Peskin, T. Schlick, 1989 .

An Immersed Boundary Method with Formal Second-Order Accuracy and Reduced Numerical Viscosity 1

M. Lai, C. Peskin, 2000 .

Synchrony and Asynchrony in a Fully Stochastic Neural Network

Charles S Peskin, R E Lee DeVille, R. DeVille, 2008, Bulletin of mathematical biology.

Synchrony and Asynchrony of a Neural Population with Spontaneous Leaking and Shunting Inhibitions

C. Peskin, Yuliang Shi, 2019 .

A mathematical method for the unique determination of cross-bridge properties from steady-state mechanical and energetic experiments on macroscopic muscle

Charles Peskin, C. Peskin, H. Lacker, 1986 .

Light adaptation in the turtle retina: embedding a parametric family of linear models in a single nonlinear model

D. Tranchina, C. Peskin, 1988, Visual Neuroscience.

The kinetics of monazomycin-induced voltage-dependent conductance. II. Theory and a demonstration of a form of memory

R. Muller, C. Peskin, 1981, The Journal of general physiology.

Paradoxical waves and active mechanism in the cochlea

C. Peskin, Mohammad T. Manzari, 2016 .

Entrainment of a cellular circadian oscillator by light in the presence of molecular noise.

C. Peskin, Guanyu Wang, 2018, Physical review. E.

Strong intracellular signal inactivation produces sharper and more robust signaling from cell membrane to nucleus

Myan Do, S. Isaacson, M. L. Le Gros, 2020, bioRxiv.

A Depolymerization Ratchet for Intracellular Transport

G. Oster, C. Peskin, V. Lombillo, 1996 .

A note on the Hyper-Elastic Formulation of the Immersed Boundary Method 1

L. Heltai, D. Boffi, L. Gastaldi, 2006 .

Staggered Schemes for Fluctuating Hydrodynamics

Boyce E. Griffith, Thomas G. Fai, C. Peskin, 2011, Multiscale Modeling & simulation.

An analysis of the numerical stability of the immersed boundary method

C. Peskin, M. Hua, 2021, J. Comput. Phys..

Resolution of steroid binding heterogeneity by Fourier-derived affinity spectrum analysis (FASA).

C. Peskin, J. Mechanick, 1986, Analytical biochemistry.

Stochastic immersed boundary method incorporating thermal fluctuations

P. Kramer, C. Peskin, P. Atzberger, 2007 .

Numerical simulation of blood flow and pressure drop in the pulmonary arterial and venous circulation

M. Olufsen, C. Peskin, N. Hill, 2014, Biomechanics and Modeling in Mechanobiology.

Synchrony and Asynchrony for Neuronal Dynamics Defined on Complex Networks

R. DeVille, C. Peskin, 2011, Bulletin of Mathematical Biology.

Numerical analysis of the flux and force generated by a correlation ratchet mechanism

C. Peskin, C. Chiu, 2002, Journal of mathematical biology.

Mathematical aspects of heart physiology

Charles S. Peskin, C. Peskin, 1975 .

Computer simulation of voltage sensitive calcium ion channels in a dendritic spine.

C. Peskin, E. Sobie, Pilhwa Lee, 2013, Journal of theoretical biology.

Electrophysiology

Boyce E. Griffith, C. Peskin, B. Griffith, 2013, Communications on pure and applied mathematics.

Subcritical bifurcation of a rotating elastic filament in a viscous fluid by the immersed boundary method

C. Peskin, Sookkyung Lim, 2003 .

A mathematical model and inference method for bacterial colonization in hospital units applied to active surveillance data for carbapenem-resistant enterobacteriaceae

C. Peskin, M. Phillips, Karen M Ong, 2020, PloS one.

A Monte Carlo method for scalar reaction diffusion equations

Charles S. Peskin, Arthur Sherman, C. Peskin, 1986 .

A look-ahead model for the elongation dynamics of transcription.

Charles S Peskin, C. Peskin, Yujiro Richard Yamada, 2009, Biophysical journal.

The Influence of Look-Ahead on the Error Rate of Transcription.

C. Peskin, Y. Yamada, 2010, Mathematical modelling of natural phenomena.

Drag of a flexible fiber in a 2D moving viscous fluid

Charles S. Peskin, Luoding Zhu, C. Peskin, 2007 .

Simulations of the Whirling Instability by the Immersed Boundary Method

Charles S. Peskin, Sookkyung Lim, C. Peskin, 2004, SIAM J. Sci. Comput..

Quantitative theory of telomere length regulation and cellular senescence

Ignacio A. Rodriguez-Brenes, C. Peskin, 2010, Proceedings of the National Academy of Sciences.

Mathematical modeling of the impact of recirculation on exchange kinetics in tandem extracorporeal membrane oxygenation and therapeutic plasma exchange

C. Peskin, B. Griffith, J. Raval, 2020, Journal of clinical apheresis.

Mechanisms of mitral valve motion during diastole.

E L Yellin, C. Peskin, E. Yellin, 1981, The American journal of physiology.

The influence of chromosome flexibility on chromosome transport during anaphase A.

Charles S Peskin, Arjun Raj, A. Raj, 2006, Proceedings of the National Academy of Sciences of the United States of America.

Image-based model of the spectrin cytoskeleton for red blood cell simulation

Thomas G. Fai, Alejandra Leo-Macias, David L. Stokes, 2017, PLoS Comput. Biol..

Hemodynamics in transposition of the great arteries with comparison to ventricular septal defect.

C. Peskin, C. Tu, 1989, Computers in Biology and Medicine.

Optimal Fenestration of the Fontan Circulation

C. Peskin, C. Rusin, D. Penny, 2022, Frontiers in Physiology.

Computer simulation of surgical interventions for the treatment of refractory pulmonary hypertension.

Charles S. Peskin, Craig G. Rusin, Charles Puelz, 2021, Mathematical medicine and biology : a journal of the IMA.

Computer models for studying interventions used in treating refractory pulmonary hypertension

C. Peskin, C. Rusin, D. Penny, 2021 .

Hemodynamics in congenital heart disease.

C S Peskin, C. Peskin, C Tu, 1986, Computers in biology and medicine.

Model based conjectures on mammalian clock controversies.

Daniel B Forger, Charles S Peskin, C. Peskin, 2004, Journal of theoretical biology.

Supplementary Information for “ Stochastic mRNA Synthesis in Mammalian Cells ”

D. Tranchina, Sanjay Tyagi, A. Raj, 2008 .

Modeling prosthetic heart valves for numerical analysis of blood flow in the heart

Charles S. Peskin, David M. McQueen, C. Peskin, 1980 .

Simulating the fluid dynamics of natural and prosthetic heart valves using the immersed boundary method

Boyce E. Griffith, Charles S. Peskin, David M. McQueen, 2009 .

An adaptive, formally second order accurate version of the immersed boundary method

Boyce E. Griffith, Richard D. Hornung, Charles S. Peskin, 2007, J. Comput. Phys..

A general method for the computer simulation of biological systems interacting with fluids.

C S Peskin, D M McQueen, C. Peskin, 1995, Symposia of the Society for Experimental Biology.

A universal programmable fiber architecture for the representation of a general incompressible linearly elastic material as a fiber-reinforced fluid

Charles S. Peskin, Yoichiro Mori, C. Peskin, 2009, Adv. Appl. Math..

Incorporating Diffusion in Complex Geometries into Stochastic Chemical Kinetics Simulations

Samuel A. Isaacson, Charles S. Peskin, S. Isaacson, 2006, SIAM J. Sci. Comput..

A penalty immersed boundary method for a rigid body in fluid

Charles S. Peskin, Yongsam Kim, Yongsam Kim, 2016 .

Some unexpected consequences of a simple physical mechanism for voltage-dependent gating in biological membranes.

C. Peskin, A. Finkelstein, 1984, Biophysical Journal.

The immersed boundary method for two-dimensional foam with topological changes

Charles S. Peskin, Ming-Chih Lai, Yongsam Kim, 2012 .

Numerical simulations of two-dimensional foam by the immersed boundary method

Charles S. Peskin, Ming-Chih Lai, Yongsam Kim, 2010, J. Comput. Phys..

The immersed boundary method for advection-electrodiffusion with implicit timestepping and local mesh refinement

Boyce E. Griffith, Charles S. Peskin, Pilhwa Lee, 2010, J. Comput. Phys..

A microfluidic pumping mechanism driven by non-equilibrium osmotic effects

Paul J. Atzberger, Samuel A. Isaacson, Charles S. Peskin, 2009 .

Communications in Applied Mathematics and Computational Science

Charles S. Peskin, Yoichiro Mori, C. Peskin, 2009 .

Ephaptic conduction in a cardiac strand model with 3D electrodiffusion

Yoichiro Mori, Charles S Peskin, C. Peskin, 2008, Proceedings of the National Academy of Sciences.

A Three-Dimensional Model of Cellular Electrical Activity

Charles S. Peskin, Yoichiro Mori, Joseph W. Jerome, 2007 .

Numerical simulations of three-dimensional foam by the immersed boundary method

Charles S. Peskin, Ming-Chih Lai, Yongsam Kim, 2014, J. Comput. Phys..

Coordinated hydrolysis explains the mechanical behavior of kinesin.

C S Peskin, G. Oster, C. Peskin, 1995, Biophysical journal.

Population density approach for discrete mRNA distributions in generalized switching models for stochastic gene expression.

Daniel Tranchina, Charles S Peskin, Adam R Stinchcombe, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Numerical simulation of blood flow and pressure drop in the pulmonary arterial and venous circulation

Mette S Olufsen, Charles S Peskin, Christopher Sainsbury, 2014, Biomechanics and modeling in mechanobiology.

Recovery of cable properties through active and passive modeling of subthreshold membrane responses from laterodorsal tegmental neurons.

C S Peskin, C S Leonard, D. Tranchina, 1998, Journal of neurophysiology.

When the Air Hits Your Brain: Cerebral Autoregulation of Brain Oxygenation During Aerobic Exercise Allows Transient Hyperoxygenation Case Report

C. Peskin, U. Samadani, R. Bollo, 2010, Neurosurgery.

Fluid-mechanical interaction of flexible bacterial flagella by the immersed boundary method.

Sookkyung Lim, Charles S Peskin, C. Peskin, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Search strategies, minimization algorithms, and molecular dynamics simulations for exploring conformational spaces of nuclear acids

Tamar Schlick, Michael L. Overton, Charles S. Peskin, 1990 .

Dynamics of a Closed Rod with Twist and Bend in Fluid

Charles S. Peskin, Sookkyung Lim, X. Sheldon Wang, 2008, SIAM J. Sci. Comput..

An Immersed Boundary Method with Formal Second-Order Accuracy and Reduced Numerical Viscosity 1

M. Lai, C. Peskin, 2000 .

An immersed boundary method with subgrid resolution and improved numerical stability applied to slender bodies in Stokes flow

Charles S. Peskin, Ondrej Maxian, C. Peskin, 2020, SIAM J. Sci. Comput..

Cardiac fluid dynamics.

C S Peskin, D M McQueen, C. Peskin, 1992, Critical reviews in biomedical engineering.

Effect of bundle branch block on cardiac output: a whole heart simulation study.

Edward J Vigmond, Clyde Clements, David M McQueen, 2008, Progress in biophysics and molecular biology.

On the encoding of signals in physiological systems

Pratik Worah, C. Peskin, D. Levine, 2020 .

Parametric Resonance in Immersed Elastic Boundaries

John M. Stockie, Charles S. Peskin, Ricardo Cortez, 2004, SIAM J. Appl. Math..

A Mathematical Model of Granule Cell Generation During Mouse Cerebellum Development

Orlando Aristizábal, A. Joyner, C. Peskin, 2016, Bulletin of Mathematical Biology.

Effects of timing of atrial systole on LV filling and mitral valve closure: computer and dog studies.

Y Ishida, C S Peskin, D M McQueen, 1985, The American journal of physiology.

Quantitative morphology of physiologically identified and intracellularly labeled neurons from the guinea-pig laterodorsal tegmental nucleus in vitro

C. Leonard, C. Peskin, A. Surkis, 1996, Neuroscience.

The hydrodynamics of a twisting, bending, inextensible fiber in Stokes flow

C. Peskin, A. Donev, O. Maxian, 2022, Physical Review Fluids.

A Gaussian-like immersed-boundary kernel with three continuous derivatives and improved translational invariance

Charles S. Peskin, Yuanxun Bao, Jason Kaye, 2015, J. Comput. Phys..

A stochastic immersed boundary method for fluid-structure dynamics at microscopic length scales

Paul J. Atzberger, Peter R. Kramer, Charles S. Peskin, 2007, J. Comput. Phys..

Simulation of Osmotic Swelling by the Stochastic Immersed Boundary Method

Paul J. Atzberger, Thomas G. Fai, Charles S. Peskin, 2015, SIAM J. Sci. Comput..

A Lagrangian fractional step method for the incompressible Navier-Stokes equations on a periodic domain

Charles S. Peskin, Christoph Bögers, C. Peskin, 1987 .

A Lagrangian method based on the Voronoi diagram for the incompressible Navier Stokes equations on a periodic domain

Charles S. Peskin, Christoph Börgers, C. Peskin, 1985 .

Echocardiographic Linear Dimensions for Assessment of Right Ventricular Chamber Volume as Demonstrated by Cardiac Magnetic Resonance.

C. Peskin, D. McQueen, R. Devereux, 2016, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

3-D Parachute simulation by the immersed boundary method

Charles S. Peskin, Yongsam Kim, Yongsam Kim, 2009 .

The differential geometry of heart values

C. Peskin, 1974 .

Modeling the mitral valve

Charles S. Peskin, David M. McQueen, Alexander D. Kaiser, 2016, International journal for numerical methods in biomedical engineering.

WAVE MOMENTUM

C. Peskin, Silver, 2022 .

An immersed boundary energy-based method for incompressible viscoelasticity

Dharshi Devendran, Charles S. Peskin, C. Peskin, 2012, J. Comput. Phys..

A novel computational approach to simulate microswimmers propelled by bacterial flagella

Yongsam Kim, Wanho Lee, C. Peskin, 2021, Physics of Fluids.

A Theory of Epidemics

F. Hoppensteadt, C. Peskin, 1992 .

Stability and Instability in the Computation of Flows with Moving Immersed Boundaries: A Comparison of Three Methods

Charles S. Peskin, Cheng Tu, C. Peskin, 1992, SIAM J. Sci. Comput..

Two-Dimensional Simulations of Valveless Pumping Using the Immersed Boundary Method

Charles S. Peskin, Eunok Jung, E. Jung, 2001, SIAM J. Sci. Comput..

Improved Volume Conservation in the Computation of Flows with Immersed Elastic Boundaries

Charles S. Peskin, C. Peskin, B. Printz, 1993 .

Synchrony and Asynchrony for Neuronal Dynamics Defined on Complex Networks

Charles S. Peskin, R. E. Lee DeVille, R. DeVille, 2012, Bulletin of mathematical biology.

A random-walk interpretation of the incompressible navier-stokes equations

Charles S. Peskin, C. Peskin, 1985 .

Mathematics in medicine and the life sciences

Charles S. Peskin, F. C. Hoppensteadt, A. T. Harding, 1992 .

Computational biofluid dynamics

Charles S. Peskin, David M. McQueen, C. Peskin, 1993 .

Fiber architecture of the left ventricular wall: An asymptotic analysis

Charles S. Peskin, C. Peskin, 1989 .

Modeling and high-throughput experimental data uncover the mechanisms underlying Fshb gene sensitivity to gonadotropin-releasing hormone pulse frequency

S. Sealfon, C. Peskin, F. Hayot, 2017, The Journal of Biological Chemistry.

A vortex-grid method for blood flow through heart valves

Charles S. Peskin, C. Peskin, M. F. McCracken, 1980 .

A biochemical description of postsynaptic plasticity—with timescales ranging from milliseconds to seconds

D. McLaughlin, C. Peskin, Guanchun Li, 2023, bioRxiv.

Immersed Boundary Method for Variable Viscosity and Variable Density Problems Using Fast Constant-Coefficient Linear Solvers I: Numerical Method and Results

Boyce E. Griffith, Thomas G. Fai, Charles S. Peskin, 2013, SIAM J. Sci. Comput..

Tether Force Constraints in Stokes Flow by the Immersed Boundary Method on a Periodic Domain

Charles S. Peskin, Joseph Teran, C. Peskin, 2009, SIAM J. Sci. Comput..

2-D Parachute Simulation by the Immersed Boundary Method

Charles S. Peskin, Yongsam Kim, Yongsam Kim, 2006, SIAM J. Sci. Comput..

The Influence of Spatial Variation in Chromatin Density Determined by X-Ray Tomograms on the Time to Find DNA Binding Sites

S. Isaacson, M. L. Le Gros, C. Larabell, 2013, Bulletin of Mathematical Biology.

The Influence of Spatial Variation in Chromatin Density Determined by X-Ray Tomograms on the Time to Find DNA Binding Sites

Samuel A. Isaacson, Charles S. Peskin, David M. McQueen, 2013, Bulletin of mathematical biology.

Computation of Geodesic Trajectories on Tubular Surfaces

Charles S. Peskin, James Sneyd, C. Peskin, 1990, SIAM J. Sci. Comput..

Flow patterns around heart valves

Charles S. Peskin, C. Peskin, 1973 .

A STOCHASTIC IMMERSED BOUNDARY METHOD FOR BIOLOGICAL FLUID DYNAMICS AT MICROSCOPIC LENGTH SCALES

Paul J. Atzberger, Peter R. Kramer, Charles S. Peskin, 2006 .

Models for plasma kinetics during simultaneous therapeutic plasma exchange and extracorporeal membrane oxygenation.

Charles Puelz, Boyce E Griffith, Charles S Peskin, 2020, Mathematical medicine and biology : a journal of the IMA.

Dynamics of osmotic fluid flow

Charles S. Peskin, George Oster, G. Oster, 1992 .

Solution of a two-dimensional Cochlea model with fluid viscosity

Randall J. LeVeque, Charles S. Peskin, Peter D. Lax, 1988 .

Three-Dimensional Fluid Dynamics in a Two-Dimensional Amount of Central Memory

Charles S. Peskin, David M. McQueen, Steven Greenberg, 1987 .

On the order of accuracy of the immersed boundary method: Higher order convergence rates for sufficiently smooth problems

Boyce E. Griffith, Charles S. Peskin, C. Peskin, 2005 .

Mechanistic model of bursts in mRNA synthesis

D. Tranchina, Sanjay Tyagi, A. Raj, 2006 .

Fluid Flow in Collapsible Elastic Tubes: A Three-Dimensional Numerical Model

Charles S. Peskin, C. Peskin, M. Rosar, 2001 .

A mathematical study of volume shifts and ionic concentration changes during ischemia and hypoxia.

Aaron L Fogelson, Charles S Peskin, James P Keener, 2003, Journal of theoretical biology.

Iterative substructuring algorithms for the p-version finite element method for elliptic problems

I. Bica, C. Peskin, L. Pavarino, 1997 .

A Mathematical Model of Granule Cell Generation During Mouse Cerebellum Development

A. Joyner, C. Peskin, D. Turnbull, 2016, Bulletin of Mathematical Biology.

Parallel and Adaptive Simulation of Cardiac Fluid Dynamics

Boyce E. Griffith, Richard D. Hornung, Charles S. Peskin, 2009 .

Computer-assisted design of butterfly bileaflet valves for the mitral position.

C S Peskin, D M McQueen, C. Peskin, 1985, Scandinavian journal of thoracic and cardiovascular surgery.

The immersed boundary method for incompressible fluid-structure interaction

Charles Peskin, David M. McQueen, C. Peskin, 2001 .

Optimal control mechanism involving the human kidney

Zhong-Ping Jiang, Charles S. Peskin, Yu Jiang, 2011, IEEE Conference on Decision and Control and European Control Conference.

How to See in the Dark: Photon Noise in Vision and Nuclear Medicine a

C S Peskin, D. Tranchina, C. Peskin, 1984, Annals of the New York Academy of Sciences.

The Heart and Circulation

F. Hoppensteadt, C. Peskin, 2002 .

Stochastic mRNA Synthesis in Mammalian Cells

C. Peskin, D. Vargas, Arjun Raj, 2006, PLoS biology.

Stochastic Mrna Synthesis in Mammalian Cells

C. Peskin, D. Vargas, Arjun Raj, 2022 .

Large Amplitude Pulsatile Water Flow Across an Orifice

Charles S. Peskin, Edward L. Yellin, C. Peskin, 1975 .

A method for decoding the neurophysiological spike-response transform

Charles S. Peskin, Vladimir Brezina, Estee Stern, 2009, Journal of Neuroscience Methods.

Decoding modulation of the neuromuscular transform

Charles S. Peskin, Vladimir Brezina, Estee Stern, 2007, Neurocomputing.

The impact of universal recycling on the evolution of economic diversity

C. Peskin, Shubo Xu, 2022, PloS one.

Immersed Boundary Method for Variable Viscosity and Variable Density Problems Using Fast Constant-Coefficient Linear Solvers II: Theory

Boyce E. Griffith, Thomas G. Fai, Charles S. Peskin, 2014, SIAM J. Sci. Comput..

Computational studies of blood flow in the heart in two and three dimensions

C. Peskin, D. McQueen, 1991, Proceedings of the 1991 IEEE Seventeenth Annual Northeast Bioengineering Conference.

Constructing a patient-specific model heart from ct data

Boyce E. Griffith, Charles S. Peskin, D. M. McQueen, 2015 .

Dynamics of flow across natural mitral valve

C. Peskin, Elworth El, Rwm Frater Rwm, 1971 .

The Mathematics of Populations: Demographics

F. Hoppensteadt, C. Peskin, 1992 .

Flight stability of wedges

C. Peskin, Leif Ristroph, Guanhua Sun, 2021 .

The speed of a Brownian ratchet

G. Oster, C. Peskin, 1993 .

The Role of Protein Flexibility in Molecular Motor Function: Coupled Diffusion in a Tilted Periodic Potential

Charles S. Peskin, Timothy C. Elston, T. Elston, 2000, SIAM J. Appl. Math..

Accuracy of the Immersed Boundary Method in Fixed-Point Arithmetic

Gabor Ferencz, Eric Peskin, Charles Peskin, 2010, CSC.

Stochastic entrainment of a stochastic oscillator.

C. Peskin, Guanyu Wang, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

Simulating the role of microtubules in depolymerization-driven transport: a Monte Carlo approach.

C S Peskin, C. Peskin, Y C Tao, 1998, Biophysical journal.

Force production by depolymerizing microtubules: load-velocity curves and run-pause statistics.

C. Peskin, George Oster, 1995, Biophysical Journal.

Protein Flexibility and the Correlation Ratchet

Charles S. Peskin, Timothy C. Elston, Dwight You, 2000, SIAM J. Appl. Math..

A three-dimensional computer model for fluid flow through a collapsible tube

Charles S. Peskin, Madeleine Elisabeth Rosar, C. Peskin, 1994 .

Validation of a simple method for representing spheres and slender bodies in an immersed boundary method for Stokes flow on an unbounded domain

Charles S. Peskin, Thomas T. Bringley, C. Peskin, 2008, J. Comput. Phys..

Simulating Cardiac Fluid Dynamics in the Human Heart

Boyce E. Griffith, C. Peskin, W. Segars, 2023, ArXiv.

An Immersed Boundary method with divergence-free velocity interpolation and force spreading

Boyce E. Griffith, C. Peskin, D. McQueen, 2017, J. Comput. Phys..

Calculation of Passive Membrane Properties for Experimentally Determined Dendritic Geometries of Laterodorsal Tegmental Neurons in Vitro

C. Leonard, C. Peskin, A. Surkis, 1995 .

Computer-assisted design of pivoting disc prosthetic mitral valves.

C S Peskin, D M McQueen, C. Peskin, 1983, The Journal of thoracic and cardiovascular surgery.

Fluid dynamics of the mitral valve: physiological aspects of a mathematical model.

C S Peskin, D M McQueen, E L Yellin, 1982, The American journal of physiology.

Modeling polymorphic transformation of rotating bacterial flagella in a viscous fluid.

H. Berg, W. Ko, Yongsam Kim, 2017, Physical review. E.

Spontaneous oscillation and fluid–structure interaction of cilia

C. Peskin, Jihun Han, 2018, Proceedings of the National Academy of Sciences.

Numerical study of incompressible fluid dynamics with nonuniform density by the immersed boundary method

Charles S. Peskin, Yongsam Kim, Yongsam Kim, 2008 .