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Photo of Linda Petzold

Linda Petzold

Mehrabian Distinguished Professor
Mechanical Engineering
Computer Science
UC Santa Barbara
Phone:
+1 805-893-5362
Email:
petzold@engineering.ucsb.edu
Website:
Website

Research Focus Areas

Research Interests

Modeling, simulation and data analytics of multiscale systems in biology, medicine and engineering.

National Academies

NAE 2004, NAS 2021

Displaying 1 - 20 of 48

ICB Supported Publications

Decision heuristics in contexts integrating action selection and execution

Dundon, NM, Colas JT, Garrett N, Babenko V, Rizor E, Yang D, MacNamara M, Petzold L, Grafton ST.
Scientific Reports,
10.1038/s41598-023-33008-2

Decision Heuristics in Contexts Exploiting Intrinsic Skill

Neil M. Dundon, Jaron T. Colas, Neil Garrett, Viktoriya Babenko, Elizabeth Rizor, Dengxian Yang, Máirtín MacNamara, Linda Petzold, Scott T. Grafton
bioRxiv,
10.1101/2022.04.01.486746

Motor adaptation via distributional learning

Brian Mitchell, Michelle Marneweck, Scott Grafton and Linda Petzold
Journal of Neural Engineering,
10.1088/1741-2552/aba6d9

A Minimum Free Energy Model of Motor Learning

B. A. Mitchell, N. Lauharatanahirun, J. O. Garcia, N. Wymbs, S. Grafton, J. M. Vettel and L. R. Petzold
Neural Computation,
10.1162/neco_a_01219

Conditions controlling kink crack nucleation out of, and delamination along, a mixed-mode interface crack

J.William Pro, Stephen Sehr, Rone Kwei Lim, Linda R. Petzold, Matthew R. Begley
Journal of the Mechanics and Physics of Solids,
10.1016/j.jmps.2018.08.015

Model-based inference of a directed network of circadian neurons

David McBride and Linda Petzold
Journal of Biological Rhythms,
10.1177/0748730418790402

Control of neural systems at multiple scales using model-free, deep reinforcement learning

Brian A. Mitchell and Linda R. Petzold
Scientific Reports,
10.1038/s41598-018-29134-x

In Silico Identification of Microbial Partners to Form Consortia with Anaerobic Fungi

St. Elmo Wilken , Mohan Saxena , Linda R. Petzold and Michelle O’Malley
Processes,
10.3390/pr6010007

Using stochastic epidemiological models to evaluate conservation strategies for endangered amphibians

Brian Drawert, Marc Griesemer, Linda R. Petzold and Cheryl J. Briggs
Journal of the Royal Society Interface,
10.1098/rsif.2017.0480

Modeling the neuroanatomic propagation of ALS in the spinal cord

Brian Drawert, Nimish Thakore, Brian Mitchell, Erik Pioro, John Ravits, Linda R. Petzold
AIP Conference Proceedings,
10.1063/1.4992656

Reaction rates for reaction-diffusion kinetics on unstructured meshes

Stefan Hellander and Linda Petzold
The Journal of Chemical Physics,
10.1063/1.4975167

Stochastic simulation service: Bridging the gap between the compuational expert and the biologist

Drawert, B., Hellander, A., Bales, B., Banerjee, D., Bellesia, G., Daigle, Jr., B. J., Douglas, G., Gu, M., Gupta, A., Hellander, S., Horuk, C., Nath, D., Takkar, A., Wu, S., Lötstedt, P., Krintz, C. and Petzold, L. R.
PLoS Computational Biology,
10.1371/journal.pcbi.1005220

A framework for discrete stochastic simulation on 3D moving boundary domains

Drawert, B., Hellander, S., Trogdon, M., Yi, T-M. and Petzold, L.
Journal of Chemical Physics,
10.1063/1.4967338

MOLNs: A cloud platform for interactive, reproducible, and scalable spatial stochastic computational experiments in systems biology using PyURDME

Drawert, B., Trogdon, M., Toor, S., Petzold, L. and Hellander, A.
SIAM Journal on Scientific Computing,
10.1137/15M1014784

Functional network inference of the suprachiasmatic nucleus

Abel, J. H., Meeker, K., St. John, P. C., Granados-Fuentes, D., Wang, T., Bales, B. B., Doyle, F. J., Herzog, E. D. and Petzold, L. R.
PNAS,
10.1073/pnas.1521178113

Reaction rates for a generalized reaction-diffusion master equation

Hellander S. and Petzold, L. R.
Physical Review E,
10.1103/PhysRevE.93.013307

On the inference of functional circadian networks using Granger Causality

Pourzanjani, A., Herzog, E. D., and Petzold, L. R.
PLoS ONE,
10.1371/journal.pone.0137540

The impact of stochastic microstructures on the macroscopic fracture properties of brick and mortar composites

Pro, J. W., Lim, R. K., Petzold, L. R., Utz, M. and Begley, M. R.
Extreme Mechanics Letters,
10.1016/j.eml.2015.09.001

GillesPy: A python package for stochastic model building and simulation

Abel, J. H., Drawert, B., Hellander, A. and Petzold, L.R.
FOSBE 2015 Conference Proceedings,

GPU-based simulations of fracture in idealized brick and mortar composites

W. J. Pro, R. K. Lim, L R. Petzold, M. Utz, and M. R. Begley
Journal of the Mechanics of Physical Solids,
10.1016/j.jmps.2015.03.011
Emblems