Primary tabs


international_journal_of_high_performance_computing_applications-2015-lim-1094342015593395.pdf Lim, R. K., Pro, J. W., Begley, M. R., Utz, M., & Petzold, L. R. (2015). High-performance Simulation of Fracture in Idealized "Brick and Mortar" Composites Using Adaptive Monte Carlo Minimization on the GPU. Int. J. High Perform. C. 1-14
daigle_2015.pdf Daigle, Jr., B. J., Soltani, M., Petzold, L. R. & Singh, A. (2015). Inferring Single-Cell Gene Expression Mechanisms Using Stochastic Simulation. Bioinformatics, 31(9), 2015, 1428-1435
manuscript.pdf Pourzanjani, A., Herzog, E. D., & Petzold, L. R. (2015). On the Inference of Functional Circadian Networks Using Granger Causality. PLoS ONE 10(9):e0137540
physreve.91.023312.pdf Hellander, S., Hellander, A., & Petzold, L. (2015). Reaction Rates for Mesoscopic Reaction-Diffusion Kinetics. Phys. Rev. E 91, 023312.
thakur_etal_molbiosystems_2015.pdf Thakur, G. S., Daigle Jr., B. J., Dean, K. R., Zhang, Y., Rodriguez-Fernandez, M., Hammamieh, R., Yang, R., Jett, M., Palma, J., Petzold, L. R., & Doyle III, F. J. (2015). Systems Biology Approach to Understanding Post-Traumatic Stress Disorder. Mol. BioSyst., 2015, 11, 980.

doi:10.1039/C4MB00404C  |  PMID: 25627823 [PubMed - in process]

1-s2.0-s2352431615001054-main.pdf Pro, J. W., Lim, R. K., Petzold, L. R., Utz, M., & Begley, M. R. (2015). The Impact of Stochastic Microstructures on the Macroscopic Fracture Properties of Brick and Mortar Composites. Extreme Mechanics Letters 5 (2015) 1-9
IFAC14_2031_FI.pdf Thakur, G., Daigle Jr., B., Petzold, L. R. & Doyle, F. (2014). A Multivariate Ensemble Approach for Identification of Biomarkers: Application to Breast Cancer. Proceedings of the 19th IFAC World Congress.
ELFPT_main.pdf Bezzola, A., Bales, B. B., Alkire, R. C. & Petzold, L. R. (2014). An Exact and Efficient First Passage Time Algorithm for Reaction-Diffusion Processes on a 2D-Lattice. J. Comp. Phys., 256, pp. 183-197.
BiPClustering.pdf Griesemer, M., Young, C., Robinson, A. S. & Petzold, L. R. (2014). BiP Clustering Facilitates Protein Folding in the Endoplasmic Reticulum. PLoS Comput. Biol. 10(7): e1003675.
main.pdf Zhang, Y., Daigle, Jr., B. J., Ferrigno, L., Cohen, M., & Petzold, L. (2014). Data-Driven Mortality Prediction for Trauma Patients. Invited Refereed Presentation at NIPS MLCB Workshop
LocalError.pdf Hellander, A., Lawson, M., Drawert, B. & Petzold, L. (2014). Local Error Estimates for Adaptive Simulation of the Reaction-Diffusion Master Equation via Operator Splitting. J. Comp. Phys. 266, pp. 89-100.
NumericalScaling.pdf Bezzola, A., Bales, B. B., Petzold, L. R. & Alkire, R. C. (2014). Numerical Scaling Studies of Kinetically-Limited Electrochemical Nucleation and Growth with Accelerated Stochastic Simulations. J. Electrochem. Soc. 161(8), E3001-E3008.
OpinionMining.pdf Bhattacharjee, K. & Petzold, L. R. (2014). Probabilistic User-level Opinion Detection on Online Social Networks. Proceedings of the International Conference on Social Informatics (SocInfo).
Hes1_dimerisation.pdf Sturrock, M., Hellander, A., Aldakheel, S., Petzold, L. R. & Chaplain, M. A. J. (2014). The Role of Dimerisation and Nuclear Transport in the Hes1 Gene Regulatory Network. Bull. Math Biol. 76(4):766-98.
TimeDependentPropensity.pdf Fu, J., Wu, S., Li, H. & Petzold, L. R. (2014). The Time Dependent Propensity Function for Acceleration of Spatial Stochastic Simulation of Reaction-Diffusion Systems. J. Comp. Phys. 274, pp. 524–549.
Validity.pdf Gillespie, D., Petzold, L. R. & Seitaridou, E. (2014). Validity Conditions for Stochastic Chemical Kinetics in Diffusion-Limited Systems. J. Chem. Phys. 140, 054111.

© 2014 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the authors and the American Institute of Physics. Journal Version  |  PMCID: PMC3977787

Neuropeptide.pdf An, S., Harang, R., Meeker, K., Granados-Fuentes, D., Tsai, C., Mazuski, C., Kim, J., Doyle III, F. J., Petzold, L. R. & Herzog, E. D. (2013). A Neuropeptide Speeds Circadian Entrainment by Reducing Intercellular Synchrony. Proceedings of the National Academy of Sciences.
Mouse_Model.pdf Yang, R., Daigle, Jr., B. J., Muhie, S. Y., Hammamieh, R., Jett, M., Petzold, L. & Doyle III, F. J. (2013). Core Modular Blood and Brain Biomarkers in Social Defeat Mouse Model for Post Traumatic Stress Disorder. BMC Systems Biology 2013, 7:80.
Pub199-1.pdf Kolpas, A., Busch, M., Li, H., Couzin, I. D., Petzold, L. R. & Moehlis, J. (2013). How the Spatial Position of Individuals Affects Their Influence on Swarms: A Numerical Comparison of Two Popular Swarm Dynamics Models. PLoS ONE 8(3): e58525.
I_Act.pdf Macropol, K., Bogdanov, P., Singh, A. K., Petzold, L. R. & Yan, X. (2013). I Act, Therefore I Judge: Network Sentiment Dynamics Based on User Activity Change. Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
Perspective.pdf Gillespie, D. T., Hellander, A. & Petzold, L. R. (2013). Perspective: Stochastic Algorithms for Chemical Kinetics. J. Chem. Phys. 138, 170901.

© 2013 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the authors and the American Institute of Physics. Journal Version  |  PMCID: PMC3656953

Polarization.pdf Lawson, M. J., Drawert, B., Khammash, M., Petzold, L. R. & Yi, T. (2013). Spatial Stochastic Dynamics Enable Robust Cell Polarization. PLoS Comput. Biol. 9(7): e1003139.
Time_Dependent.pdf Fu, J., Wu, S. & Petzold, L. R. (2013). Time Dependent Solution for Acceleration of Tau-Leaping. J. Comp. Phys. 235, 446-457.
URDME_StratUm.pdf Östberg, P., Hellander, A., Drawert, B., Elmroth, E., Holmgren, S. & Petzold, L. R. (2012). Abstractions for Scaling eScience Applications to Distributed Computing Environments: A StratUm Integration Case Study in Molecular Systems Biology. Proceedings of Bioinformatics 2012, International Conference on Bioinformatics Models, Methods, and Algorithms.
Accelerated.pdf Daigle, Jr., B. J., Roh, M. K., Petzold, L. R. & Niemi, J. (2012). Accelerated Maximum Likelihood Parameter Estimation for Stochastic Biochemical Systems. BMC Bioinformatics 2012, 13:68.
Automatic_Id.pdf Wu, S., Fe, J., Li, H. & Petzold, L. R. (2012). Automatic Identification of Model Reductions for Discrete Stochastic Simulation. J. Chem. Phys. 137(3), 034106.
COMBINER.pdf Yang, R., Daigle Jr., B., Petzold, L. R. & Doyle III, F. J. (2012). Core Module Biomarker Identification with Network Exploration for Breast Cancer Metastasis. BMC Bioinfomatics 13:12.
Core_module.pdf Yang, R., Daigle, Jr., B. J., Petzold, L. R. & Doyle III, F. J. (2012). Core Module Network Construction for Breast Cancer Metastasis. Proceedings of the 10th World Congress on Intelligent Control and Automation, Beijing, China.
Language_Runtime.pdf Bunch, C., Drawert, B., Chohan, N., Krintz, C., Petzold, L. R. & Shams, K. (2012). Language and Runtime Support for Automatic Configuration and Deployment of Scientific Computing Software over Cloud Fabrics. J. Grid Computing 10(1) 23-46
06353000.pdf Wallace, E., Gillespie, D. T., Sanft, K. R., & Petzold, L. R. (2012). Linear Noise Approximation is Valid Over Limited Times for any Chemical System that is Sufficiently Large. IET Systems Biology 6(4) 102-115.
physreve.85.042901.pdf Hellander, S., Hellander, A. & Petzold, L. (2012). Reaction-diffusion Master Equation in the Microscopic Limit. Phys. Rev. E 85(4), 042901.
Reducing_MSGC.pdf Östberg, P., Hellander, A., Drawert, B., Elmroth, E., Holmgren, S. & Petzold, L. R. (2012). Reducing Complexity in Management of eScience Computations. Proceedings of CCGrid 2012, 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
Spatial_Local_Final.pdf Griesemer, M., Young, C., Robinson, A. & Petzold, L. (2012). Spatial Localization of Chaperone Distribution in the Endoplasmic Reticulum of Yeast. IET Systems Biology 6(2):54-63.
URDME_BMCsysbio.pdf Drawert, B., Engblom, S. & Hellander, A. (2012). URDME: A Modular Framework for Stochastic Simulation of Reaction-Transport Processes in Complex Geometries. BMC Syst. Biol. 6:76.
1756-0500-5-163.pdf Harang, R., Bonnet, G. & Petzold, L. R. (2012). WAVOS: a MATLAB Toolkit for Wavelet Analysis and Visualization of Oscillatory Systems. BMC Research Notes 5:163.
JCPSA61344044110_1.pdf Daigle, B., Roh, M., Gillespie, D. & Petzold, L. (2011). Automated Estimation of Rare Event Probabilities in Biochemical Systems. J. Chem. Phys. 134, 044110.
tbme_paper_020311.pdf Abdur-Rahim, J. A., Petzold, L. R., Grafton, S. T. & Doyle III, F. J. (2011). Identifying Learning in a Visuomotor Skill. Transactions on Biomedical Engineering, Submitted
stoch_2011.pdf Sanft, K. R., Gillespie, D. T. & Petzold, L. R. (2011). Legitimacy of the Stochastic Michaelis-Menten Approximation. IET Systems Biology, 5(1), 58-69.
JCPSA613413134112_1.pdf Wu, S., Fu, J., Cao, Y. & Petzold, L. (2011). Michaelis-Menten Speeds up Tau-leaping Under a Wide Range of Conditions. J. Chem. Phys. 134, 134112.
sdwSSA_ver3.1.pdf Roh, M., Daigle Jr., B., Gillespie, D. & Petzold, L. R. (2011). State-dependent Doubly Weighted Stochastic Simulation Algorithm for Automatic Characterization of Stochastic Biochemical Rare Events. J. Chem. Phys. 135(23):234108.
btr401.pdf Sanft, K. R., Wu, S., Roh, M., Fu, J., Lim, R. K. & Petzold, L. R. (2011). StochKit2: Software for Discrete Stochastic Simulation of Biochemical Systems with Events. Bioinformatics (2011) 27(17): 2457-2458.
SIREVCSE.pdf Turner, P. & Petzold, L., Co-Chairs, Shiflet, A., Vakalis, I., Jordan, K. & St. John, S., SIAM Working Group on CSE Undergraduate Education (2011). Undergraduate Computational Science and Engineering Education. SIAM Review 53(3), 561-574.
JBRWavelet.pdf Meeker, K., Harang, R., Webb, A. B., Welsh, D. K., Doyle III, F. J., Bonnet, G., Herzog, E. D. & Petzold, L. R. (2011). Wavelet Measurement Suggests Cause of Period Instability in Mammalian Circadian Neurons. J. of Biological Rhythms 26(4):353-62.
Buoni_2009_Journal-of-Computational-Physics.pdf Buoni, M. & Petzold, L. (2010). An Algorithm for Simulation of Electrochemical Systems with Surface-Bulk Coupling Strategies. J. Comp. Phys. 229(2), pp. 379-398
Hildebrandt, S., Bagheri, N., Gunawan, R., Mirsky, H., Shoemaker, J., Taylor, S., Petzold, L., & Doyle III, F. J. (2010). Chapter 10 Systems Analysis for Systems Biology. In: Systems Biomedicine (pp. 249–272). Elsevier
Pub178.pdf Luni, C., Shoemaker, J., Sanft, K., Petzold, L., Doyle, F. (2010). Confidence from Uncertainty - A Multi-Target Drug Screening Method from Robust Control Theory. BMC Systems Biology 4:161
Luni_Dycops-1.pdf Luni, C., Sanft, K., Petzold, L., Doyle III, F. (2010). Modelling of Detailed Insulin Receptor Kinetics Affects Sensitivity and Noise in the Downstream Signalling Pathway. DYCOPS2010, 9th IFAC Symposium on Dynamics and Control of Process Systems, Leuven, Belgium
wSSA_state-dependent-biasing_2010.pdf Roh, M., Gillespie, D., Petzold, L. (2010). State-Dependent Biasing Method for Importance Sampling in the Weighted Stochastic Simulation Algorithm. J. Chem. Phys. 133, p. 174106
DFSP.pdf Drawert, B., Lawson, M. J., Petzold, L. & Khammash, M. (2010). The Diffusive Finite State Projection Algorithm for Efficient Simulation of the Stochastic Reaction-Diffusion Master Equation. J. Chem. Phys. 132(7), 074101 (12 pages)
Pub173.pdf Taylor, S., Webb, A., Smith, K., Petzold, L., Doyle III, F. (2010). Velocity Response Curves Support the Role of Continuous Entrainment in Circadian Clocks. J. Biological Rhythms 25(2):138-149
projection_methods.pdf Zheng, Z., Petzold, L. & Simeon, B. (2009). A Framework for the Analysis of Second Order Projection Methods. Submitted
simeonserbanpetzold.pdf Simeon, B., Serban, R. & Petzold, L. (2009). A Model of Macroscale Deformation and Microvibration in Skeletal Muscle Tissue. M2AN 43, pp. 805-823
Gillespie_FOSBE.pdf Gillespie, D., Cao, Y., Sanft, K. & Petzold, L. (2009). Abridging Chemical Reaction Networks: It's a Subtle Business. Proc. 2009 FOSBE Conference
An_Algorithm.pdf Buoni, M. & Petzold, L. (2009). An Algorithm for Simulation of Electrochemical Systems with Surface-Bulk Coupling Strategies. 18th IMACS CONGRESS MODSIM
JCompPhys_122208.pdf Lampoudi, S., Gillespie, D. & Petzold, L. (2009). Effect of excluded volume on 2D discrete stochastic chemical kinetics. J. Comp. Phys. 228(10), pp. 3656-3668
Pub161.pdf Li, H. & Petzold, L. (2009). Efficient Parallelization of the Stochastic Simulation Algorithm for Chemically Reacting Systems on the Graphics Processing Unit. Int. J. of High Performance Computing Applications 24(2), pp. 107-116
Kinetic_Modeling_of_Biological_Systems.pdf Resat, H., Petzold, L. & Pettigrew, M. F. (2009). Kinetic Modeling of Biological Systems. Computational Systems Biology, Vol. 541, Jason McDermott et al. (eds.), Humana Press
FOSBE-IRPpaper.pdf Kwei, E., Shoemaker, J., Sanft, K., Petzold, L. & Doyle III, F. (2009). Model-Based Therapeutic Target Discrimination using Stochastic Simulation and Robustness Analysis in an Insulin Signaling Pathway. Proc. 2009 FOSBE conference
Griesemer_FOSBE_09.pdf Griesemer, M. B., Young, C. L., Raden, D., Doyle III, F. J., Robinson, A. S. & Petzold, L. R. (2009). Modeling the Impact of Spatial Localization of Protein Function in the Endoplasmic Reticulum of Yeast. Proc. 2009 FOSBE Conference
FISH-GPU.pdf Li, H., Kolpas, A., Petzold, L. & Moehlis, J. (2009). Parallel Simulation for a Fish Schooling Model on a General-Purpose Graphics Processing Unit. Concurrency and Computation: Practice and Experience. 21(6), pp. 725-737.
WSSA.pdf Gillespie, D. T., Roh, M. & Petzold, L, R. (2009). Refining the Weighted Stochastic Simulation Algorithm. J. Chem. Phys. 130, p. 174103
Multinomial081215.pdf Lampoudi, S., Gillespie, D. & Petzold, L. (2009). The Multinomial Simulation Algorithm for Discrete Stochastic Simulation of Reaction-Diffusion Systems. J. Chem. Phys. 130(9), pp. 094104-094104-26
GilCaoSanPet.pdf Gillespie, D. T., Cao, Y., Sanft R. K. & Petzold, L, R. (2009). The Subtle Business of Model Reduction for Stochastic Chemical Kinetics. J. Chem. Phys. 130, 064103 (12 pages)
SIAMRevCSEug_article.pdf Turner, P., Petzold, L., Shiflet, A., Vakalis, I. & Jordan, K. (2009). Undergraduate Computational Science and Engineering Education. Submitted
HMKMC07.pdf Zheng, Z., Stephens, R., Braatz, R., Alkire, R. & Petzold, L. (2008). A Hybrid Multiscale Kinetic Monte Carlo Method for Simulation of Copper Electrodeposition. J. Comp. Phys. 227, 2008, pp. 5184-5199
domain_decomposition07.pdf Zheng, Z., Simeon, B. & Petzold, L. (2008). A Stabilized Explicit Lagrange Multiplier Based Domain Decomposition Method for Parabolic Problems. J. Comp. Phys. 227, May 2008, pp. 5272-5285.
hildebrandt07.pdf Hildebrandt, S., Raden, D., Petzold, L., Robinson, A, S., Doyle III, F. J. (2008). A Top-Down Approach to Mechanistic Biological Modeling; Application to Single-Chain Antibody Folding. Biophysical Journal 95(8), pp. 3535-3558
Biotechnology_Progress07.pdf Li, H., Cao, Y., Petzold, L. & Gillespie, D. (2008). Algorithms and Software for Stochastic Simulation of Biochemical Reacting Systems. Biotechnology Progress 24(1), pp. 56-62
Campbell, S. L., Linh, V. H., & Petzold, L. R. (2008). Differential-algebraic equations. Scholarpedia, 3(8):2849
Oscillator_Model_Reduction08.pdf Taylor, S., Doyle, F., Petzold, L. (2008). Oscillator Model Reduction Preserving the Phase Response: Application to the Circadian Clock. Biophysical Journal 95(4)
pIPRC.pdf Taylor, S., Gunawan, R., Petzold, L. & Doyle III, F. J. (2008). Sensitivity Measures for Oscillating Systems: Application to Mammalian Circadian Gene Network. IEEE Trans. Automat. Contr. 53, pp. 177-188
slow_tauleaping.pdf Cao, Y. & Petzold, L. (2008). Slow Scale Tau-leaping Method. Computer Methods in Applied Mechanics and Engineering 197, pp. 3472-3479
Interface_08.pdf Bagheri, N., Taylor, S, R., Meeker, K., Petzold, L. R. & Doyle III, F, J. (2008). Synchrony and Entrainment Properties of Robust Circadian Oscillators. J. Royal Society Interface 6 (5), pp. S17-S28
Insulin_Signaling08.pdf Kwei, E, C., Sanft, K. R., Petzold, L, R., Doyle III, F. J. (2008). Systems Analysis of the Insulin Signaling Pathway. Proc. 17th IFAC World Congress, Seoul, Korea, July
projection_2D06.pdf Buoni, M. & Petzold, L. (2007). An Efficient, Scalable Numerical Algorithm for the Simulation of Electrochemical Systems on Irregular Domains: Full Technical Details. J. Comp. Phys. 225(2), pp. 2320-2332