Petr Sulc
Associate Professor,
School of Molecular Sciences
Other ASU affiliations
Assistant Professor,
Center for Biological Physics
Biodesign Center for Molecular Design and Biomimetics
Faculty Member,
Biodesign Center for Biocomputing, Security and Society
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Phone: 480-965-9601
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Mail code: 7301Campus: Tempe
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Long Bio
Petr Šulc’s research focuses on application of computational modeling and statistical physics approaches to complex systems. In particular, his group uses computational models to study problems in biology, and bio-inspired nanotechnology systems. He is mainly interested in nucleic acids modeling (DNA and RNA) using coarse-grained models, which allow for simulations of longer time-scales and larger systems than if fully-atomistic representation is used. Such an approach is allows for efficient studies of nanotechnology system, as well as biologically relevant interactions between nucleic acids.
His research group is furthermore interested in applying computer simulations and statistical physics analysis to study properties of RNA molecules in vivo, in relation to RNAs expressed in tumor cells and viral genomes. The research is done in active collaboration with experimental groups.
He is an associate professor at ASU. Prior to ASU, he was a fellow in physics and biology with The Rockefeller University (2014-2017) and served as a graduate research assistant with the Center for Nonlinear Studies at the Los Alamos National Laboratory, New Mexico (2009-2010). His prior research also involved mathematical modeling and optimization of smart-grid systems.
Education
- D.Phil. Theoretical Physics, University of Oxford 2010-2014
- Master's degree. Fundamental Concepts of Physics: Quantum Physics, Ecole Polytechnique, Palaiseau, France 2009
- Master's degree. Mathematical Physics, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Czech Republic 2009
- Bachelor's degree. Mathematical Physics, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Czech Republic 2006
Research Website URL
Google Scholar URL
Research Interests
Petr Sulc's research focuses on application of computational modeling / statistical physics approaches to complex systems. In particular, his group uses computational models to study problems in biology, and bio-inspired nanotechnology systems. He is mainly interested in nucleic acids modeling (DNA and RNA) using coarse-grained models, which allow for simulations of longer time-scales and larger systems than if fully-atomistic representation is used. Such an approach is allows for efficient studies of nanotechnology system, as well as biologically relevant interactions between nucleic acids.
His research group is furthermore interested in applying computer simulations and statistical physics analysis to study properties of RNA molecules in vivo, in relation to RNAs expressed in tumor cells and viral genomes. The research is done in active collaboration with experimental groups.
His prior research also involved mathematical modeling and optimization of smart-grid systems.
Publications
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How we simulate DNA origami
Small Methods (2025); arxiv preprint
Sarah Haggenmueller, Michael Matthies, Matthew Sample, Petr Šulc2024
- Inverse design of a pyrochlore lattice of DNA origami through model-driven experiments
Science, 384, 6697, (741-742), (2024); arxiv preprint
covered by Perspective in the same issue of Science
Hao Liu, Michael Matthies, John Russo, Lorenzo Rovigatti, Raghu Pradeep Narayanan, Thong Diep, Daniel McKeen, Oleg Gang, Nicholas Stephanopoulos, Francesco Sciortino, Hao Yan, Flavio Romano, Petr Šulc - Automating Blueprints for Colloidal Quasicrystal Assembly
ACS Nano (2024) arxiv preprint
Diogo Pinto, Petr Šulc, Francesco Sciortino, John Russo - Hairygami: Analysis of DNA Nanostructures' Conformational Change Driven by Functionalizable Overhangs
ACS Nano, 2024
arxiv preprint
Matthew Sample, Thong Diep, Hao Liu, Michael Matthies, Petr Šulc - Combination of Coevolutionary Information and Supervised Learning Enables Generation of Cyclic Peptide Inhibitors with Enhanced Potency from a Small Data Set
ACS Central Science, 2024
Ylenia Mazzocato, Nicola Frasson, Matthew Sample, Cristian Fregonese, Angela Pavan, Alberto Caregnato, Marta Simeoni, Alessandro Scarso, Laura Cendron, Petr Šulc, Alessandro Angelini - Evolving to find optimizations humans miss: using evolutionary computation to improve GPU code for bioinformatics applications
ACM Transactions on Evolutionary Learning (2024)
Jhe-Yu Liou, Muaaz Awan, Kirtus Leyba, Petr Šulc, Steven Hofmeyr, Carole-Jean Wu, Stephanie Forrest - ANNaMo: Coarse-grained modeling for folding and assembly of RNA and DNA systems
J. Chem. Phys. 160, 205102 (2024); arxiv preprint
F. Tosti Guerra, E. Poppleton, P. Šulc, L. Rovigatti - A rhythmically pulsing leaf-spring nanoengine that drives a passive follower
Nature Nanotechnology 19, 226-236 (2024) ; biorxiv preprint
M. Centola, E. Poppleton, M. Centola, J. Valero, S. Ray, R. Welty, Nils G. Walter, P. Šulc, M. Famulok - Coarse-grained modeling of DNA-protein interactions helps elucidate DNA compaction
New and Notable perspective for Biophysical journal
Petr Sulc - Coarse-grained modelling of DNA-RNA hybrids
J. Chem. Phys. 160, 115101 (2024); article was featured in Scilight ; arxiv preprint;
Eryk J. Ratajczyk, Petr Šulc, Andrew J. Turberfield, Jonathan P.K. Doye, Ard A. Louis - Inverse design of self-folding 3D shells
Phys. Rev. Lett. 132, 118201 (2024) ; arxiv preprint
Diogo Pinto, Nuno Araújo, Petr Šulc, John Russo - RNA-induced allosteric coupling drives viral capsid assembly
PRX Life (2024), article selected for spotlight in Physics Magazine
Sean Hamilton, Tushar Modi, Petr Šulc, Banu Ozkan - Designing 3D multicomponent self-assembling systems with signal-passing building blocks
J. Chem. Phys. 160, 084902 (2024): Emerging Investigators Special Collection; selected as "Editor's Pick" ; arxiv preprint
Joshua Evans, Petr Šulc - DNA-Nanostructure-Guided Assembly of Proteins into Programmable Shapes
Nano Lett. (2024)
Qinyi Lu, Yang Xu, Erik Poppleton, Kun Zhou, Petr Sulc, Nicholas Stephanopoulos, Yonggang Ke - Single-Molecule Force Spectroscopy of Toehold-Mediated Strand Displacement
Nature Communications 15 (2024); biorXiv preprint
Andreas Walbrun, Tianhe Wang, Michael Matthies, Petr Šulc, Friedrich Simmel, Matthias Rief -
Controlling DNA-RNA strand displacement kinetics with base distribution
bioRxiv preprint
Eryk Ratajczyk, Jonathan Bath, Petr Sulc, Jonathan Doye, Ard Louis, Andrew Turberfield2023
- CytoDirect: A Nucleic Acid Nanodevice for Specific and Efficient Delivery of Functional Payloads to the Cytoplasm
JACS (2023)
Lu Yu, Yang Xu, Md Al-Amin, Shuoxing Jiang, Matthew Sample, Abhay Prasad, Nicholas Stephanopoulos, Petr Šulc, and Hao Yan - Engineering Azeotropy to Optimize the Self-Assembly of Colloidal Mixtures
ACS Nano (2023); arxiv preprint
Camilla Beneduce, Francesco Sciortino, Petr Šulc, John Russo - High-affinity binding to the SARS-CoV-2 spike trimer by a nanostructured, trivalent protein-DNA synthetic antibody
biorxiv preprint (2023)
Yang Xu, Rong Zheng, Abhay Prasad, Minghui Liu, Zijian Wan, Xiaoyan Zhou, Ryan M Porter, Matthew Sample, Erik Poppleton, Jonah Procyk, Hao Liu, Yize Li, Shaopeng Wang, Hao Yan, Petr Šulc, Nicholas Stephanopoulos - High-speed 3D DNA-PAINT and unsupervised clustering for unlocking 3D DNA origami cryptography
biorxiv preprint (2023)
G. Bimananda M. Wisna, Daria Sukhareva, Jonathan Zhao, Deeksha Satyabola, Michael Matthies, Subhajit Roy, Petr Šulc, Hao Yan, Rizal F. Hariadi - Coarse-grained simulations of DNA and RNA systems with oxDNA and oxRNA models: Introductory tutorial
Proceedings of Winter Simulation Conference (2023)
arxiv preprint
Michael Matthies, Matthew Sample, Petr Šulc - DNA Origami Tessellations
J. Am. Chem. Soc., 145, 25 (2023)
Yue Tang, Hao Liu, Qi Wang, Xiaodong Qi, Lu Yu, Petr Šulc, Fei Zhang, Hao Yan, Shuoxing Jiang - Atomistic Picture of Opening–Closing Dynamics of DNA Holliday Junction Obtained by Molecular Simulations
Journal of Chemical Information and Modeling (2023)
Zhengyue Zhang, Jiří Šponer, Giovanni Bussi, Vojtěch Mlýnský, Petr Šulc, Chad R Simmons, Nicholas Stephanopoulos, Miroslav Krepl - Design strategies for the self-assembly of polyhedral shells
Proceedings of the National Academy of Sciences 120 (16), (2023)
Diogo E. P. Pinto; Petr Šulc; Francesco Sciortino; John Russo - Designing the self-assembly of arbitrary shapes using minimal complexity building blocks
ACS Nano (2023) (featured on the cover) ; arxiv preprint
Joakim Bohlin, Andrew Turberfield, Ard Louis, Petr Šulc - Two-step nucleation in a binary mixture of Patchy Particles
J. Chem. Phys. (2023); selected as "Editor's pick"
Camilla Beneduce, Diogo Pinto, Petr Šulc, Francesco Sciortino, John Russo -
oxDNA: coarse-grained simulations of nucleic acids made simple
Journal of Open Source Software (2023)
Erik Poppleton, Michael Matthies, Debesh Mandal, Flavio Romano, Petr Šulc, Lorenzo Rovigatti2022
- Biomotors, viral assembly, and RNA nanobiotechnology: Current achievements and future directions
Computational and Structural Biotechnology Journal (2022)
L. Rolband et al - Coarse-Grained Simulations for the Characterization and Optimization of Hybrid Protein–DNA Nanostructures
ACS Nano (2022)
Raghu Pradeep Narayanan, Jonah Procyk, Purbasha Nandi, Abhay Prasad, Yang Xu, Erik Poppleton, Dewight Williams, Fei Zhang, Hao Yan, Po-Lin Chiu, Nicholas Stephanopoulos, Petr Šulc - Design and simulation of DNA, RNA and hybrid protein–nucleic acid nanostructures with oxView
Nature Protocols (2022)
Joakim Bohlin, Michael Matthies, Erik Poppleton, Jonah Procyk, Aatmik Mallya, Hao Yan, Petr Šulc - The influence of Holliday junction sequence and dynamics on DNA crystal self-assembly
Nature Communications 13 (2022)
Chad R. Simmons, Tara MacCulloch, Miroslav Krepl, Michael Matthies, Alex Buchberger, Ilyssa Crawford, Jiří Šponer, Petr Šulc, Nicholas Stephanopoulos, Hao Yan - A simple solution to the problem of self-assembling cubic diamond crystals
Nanoscale 14 (2022), arxiv preprint
Lorenzo Rovigatti, John Russo, Flavio Romano, Michael Matthies, Lukáš Kroc, Petr Šulc - A localized DNA finite-state machine with temporal resolution
Science Advances 8 (12) (2022)
Lan Liu, Fan Hong, Hao Liu, Xu Zhou, Shuoxing Jiang, Petr Šulc, Jian-Hui Jiang, Hao Yan - Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
PLOS Comp. Biology (2022);
Andrea Di Gioacchino, Jonah Procyk, Marco Molari, John S. Schreck, Yu Zhou, Yan Liu, Rémi Monasson, Simona Cocco, Petr Šulc - SAT-assembly: A new approach for designing self-assembling systems
Journal of Physics: Cond. Matter (2022); arxiv preprint
John Russo, Flavio Romano, Lukáš Kroc, Francesco Sciortino, Lorenzo Rovigatti, Petr Šulc - Unified Nanotechnology Format: One Way to Store Them All
Molecules, 27 (2022)
David Kuťák, Erik Poppleton, Haichao Miao, Petr Šulc, Ivan Barišić - ExpertRNA: A new framework for RNA structure prediction
Informs Journal on Computing (2022); bioRxiv preprint
M. Liu, G. Pedrielli, E. Poppleton, P. Šulc, D. P. Bertsekas - Nanobase.org: a repository for DNA and RNA nanostructures
Nucleic Acids Research, (2022), article featured on the front cover
Erik Poppleton, Aatmik Mallya, Swarup Dey, Joel Joseph, Petr Šulc - Y-RNAs Lead an Endogenous Program of RIG-I Agonism Mobilized upon RNA Virus Infection and Targeted by HIV
iScience 2022
Nicolas Vabret, Valérie Najburg, Alexander Solovyov, Ramya Gopal, Christopher McClain, Petr Šulc, Sreekumar Balan, Yannis Rahou, Guillaume Beauclair, Maxime Chazal, Hugo Varet, Rachel Legendre, Odile Sismeiro, Raul Y Sanchez David, Lise Chauveau, Nolwenn Jouvenet, Martin Markowitz, Sylvie van der Werf, Olivier Schwartz, Frédéric Tangy, Nina Bhardwaj, Benjamin D Greenbaum, Anastassia V Komarova - Repeats Mimic Immunostimulatory Viral Features Across a Vast Evolutionary Landscape
bioRxiv preprint (2021)
Petr Šulc, Alexander Solovyov, Sajid A. Marhon, Siyu Sun, John LaCava, Omar Abdel-Wahab, Nicolas Vabret, Daniel D. De Carvalho, Rémi Monasson, Simona Cocco, Benjamin D. Greenbaum - Kinetics of RNA and RNA:DNA hybrid strand displacement
ACS Synthetic Biology (2021)
H. Liu, F. Hong, F. Smith, J. Goertz, T. E. Ouldridge, M. Stevens, H. Yan, P. Šulc - A Self-Regulating DNA Rotaxane Linear Actuator Driven by Chemical Energy
J. Am. Chem. Soc. 143. 13292 (2021)
Z. Yu, M. Centola, J. Valero, M. Matthies, P. Šulc, M. Famulok - OxDNA.org: a public webserver for coarse-grained simulations of DNA and RNA nanostructures
Nucleic Acids Research, (2021)
Erik Poppleton, Roger Romero, Aatmik Mallya, Lorenzo Rovigatti, Petr Šulc - DNA Nanodevices as Mechanical Probes of Protein Structure and Function
Applied Sciences 11 (6), 2802 (2021)
Nicholas Stephanopoulos, Petr Šulc - Coarse-grained nucleic acid–protein model for hybrid nanotechnology
Soft Matter (2021) ; arXiv preprint
Jonah Procyk, Erik Poppleton, Petr Šulc - The heterogeneous landscape and early evolution of pathogen-associated CpG dinucleotides in SARS-CoV-2
Molecular Biology and Evolution (2021)
Andrea Di Gioacchino, Petr Šulc, Anastassia V. Komarova, Benjamin D. Greenbaum, Rémi Monasson, Simona Cocco - A primer on the oxDNA model of DNA: When to use it, how to simulate it and how to interpret the results
Front. Mol. Biosci., 17 June 2021 (2021)
A. Sengar, T. E. Ouldridge, O. Henrich, L. Rovigatti, P. Šulc -
Phenotype bias determines how RNA structures occupy the morphospace of all possible shapes
Molecular Biology and Evolution (2021)
K. Dingle, F. Ghaddar, P. Šulc, A.A. Louis2020
- Designing patchy interactions to self-assemble arbitrary structures
Phys. Rev. Lett., Vol. 125, 118003, (2020) ; arXiv preprint
Flavio Romano, John Russo, Lukáš Kroc, Petr Šulc - Meta-DNA structures
Nature Chemistry (2020)
Guangbao Yao, Fei Zhang, Fei Wang, Tianhuan Peng, Hao Liu, Erik Poppleton, Petr Šulc, Shuoxing Jiang, Lan Liu, Chen Gong, Xinxin Jing, Xiaoguo Liu, Lihua Wang, Yan Liu, Chunhai Fan, Hao Yan - The multiscale future of RNA modeling
Biophysical Journal (2020)
Petr Šulc - Understanding DNA interactions in crowded environments with a coarse-grained model
Nucleic Acids Research, Vol. 48, 19 (2020)
Fan Hong, John Schreck, Petr Šulc -
Design, optimization, and analysis of large DNA and RNA nanostructures through interactive visualization, editing, and molecular simulation
Nucleic Acids Research, Volume 48, Issue 12, (2020)
Erik Poppleton, Joakim Bohlin, Michael Matthies, Shuchi Sharma, Fei Zhang, Petr Šulc2019
- TacoxDNA: A user‐friendly web server for simulations of complex DNA structures, from single strands to origami
Journal of computational chemistry 40 (29), 2586-2595 (2019); article was featured on the front cover
Antonio Suma, Erik Poppleton, Michael Matthies, Petr Šulc, Flavio Romano, Ard A Louis, Jonathan PK Doye, Cristian Micheletti, Lorenzo Rovigatti - An emergent understanding of strand displacement in RNA biology
Journal of Structural Biology 207 (3), 241-249 (2019)
Fan Hong, Petr Šulc -
Triangulated Wireframe Structures Assembled Using Single-Stranded DNA Tiles
ACS nano 13 (2), 1839-1848 (2019)
Michael Matthies, Nayan P Agarwal, Erik Poppleton, Foram M Joshi, Petr Šulc, Thorsten L Schmidt2018
- Layered-crossover tiles with precisely tunable angles for 2D and 3D DNA crystal engineering
Journal of the American Chemical Society 140 (44), 14670-14676 (2018)
Fan Hong, Shuoxing Jiang, Xiang Lan, Raghu Pradeep Narayanan, Petr Šulc, Fei Zhang, Yan Liu, Hao Yan
- Rapid Photoactuation of a DNA nanostructure using an internal photocaged trigger strand
Angewandte Chemie International Edition 57 (30), 9341-9345 (2018)
M Liu, S Jiang, O Loza, NE Fahmi, P Šulc, N Stephanopoulos - Self-assembling DNA nanotubes to connect molecular landmarks
Nature Nanotechnology, 2017
AM Mohammed, P Šulc, J Zenk, R Schulman - Coarse-grained modelling of supercoiled RNA
preprint: arXiv:1506.02539
C. Matek, P. Šulc, F. Randisi, J.P.K. Doye, A. A. Louis - Introducing Improved Structural Properties and Salt Dependence into a Coarse-Grained Model of DNA
J. Chem. Phys., 142, 234901 (2015) (article featured on the journal cover) , preprint: arXiv:1504.00821
B. E. K. Snodin, F. Randisi, M. Mosayebi, P. Šulc, J. S. Schreck, F. Romano, T. E. Ouldridge, R. Tsukanov, E. Nir, A. A. Louis, J. P. K. Doye - Modelling toehold-mediated RNA strand displacement
Biophys. J. 108, iss. 5, 1238-1247 (2015) (article featured on the front cover), preprint: arXiv:1411.3239
P. Šulc, T. E. Ouldridge, F. Romano, J. P. K. Doye, A. A. Louis - DNA hairpins primarily promote duplex melting rather than inhibiting hybridization
Nucleic Acids Res. (2015)
preprint: arXiv:1408.4401
J. S. Schreck, T. E. Ouldridge, F. Romano, P. Šulc, L. Shaw, A. A. Louis, J. P. K. Doye - A nucleotide-level coarse-grained model of RNA
J. Chem. Phys. 140, 235102 (2014) (article featured on the front cover), preprint: arXiv:1403.4180
P. Šulc, F. Romano, T. E. Ouldridge, J. P. K. Doye, A. A. Louis - A comparison between parallelization approaches in molecular dynamics simulations on GPUs
J. Comp. Chem 36 (2015), (article featured on the front cover) preprint: arXiv:1401.4350
L. Rovigatti, P. Šulc, István Z. Reguly, F. Romano - Optimal Distributed Control of Reactive Power via the Alternating Direction Method of Multipliers
IEEE Transactions on Energy Conversion 29 (2014), preprint: arXiv:1310.5748
P. Šulc, S. Backhaus, M. Chertkov - Coarse-graining DNA for simulations of DNA nanotechnology
Phys. Chem. Chem. Phys. (2013), preprint: arxiv:1308.3843
J.P.K. Doye, T. E. Ouldridge, A. A. Louis, F. Romano, P. Šulc, C. Matek, B.E.K. Snodin, L. Rovigatti, J. S. Schreck, R.M. Harrison, W.P.J. Smith - On the biophysics and kinetics of toehold-mediated DNA strand displacement
Nucleic Acids Res. (2013)
N. Srinivas, T.E. Ouldridge, P. Šulc, J.M. Schaeffer, B. Yurke, A.A. Louis, J.P.K. Doye, E. Winfree - DNA hybridization kinetics: zippering, internal displacement and sequence dependence
Nucleic Acids Res. (2013), preprint: arxiv:1303.3370
T.E. Ouldridge, P. Šulc, F. Romano, J.P.K. Doye, A.A. Louis
- Simulating a burnt-bridges DNA motor with a coarse-grained DNA model
Natural Computing (2014), preprint: arxiv:1212.4536
P. Šulc, T.E. Ouldridge, F. Romano, J.P.K. Doye, A.A. Louis
- Sequence-dependent thermodynamics of a coarse-grained DNA model
J. Chem. Phys. (2012), (article featured on the front cover) preprint: arxiv:1207.3391
P. Šulc, F. Romano, T.E. Ouldridge, L. Rovigatti, J.P.K. Doye, A.A. Louis - Non-Gaussianity in single-particle tracking: Use of kurtosis to learn the characteristics of a cage-type potential
Phys. Rev. E (2012), preprint: arXiv:1102.2290
P. Lushnikov, P. Šulc, K. Turitsyn - Options for Control of Reactive Power by Distributed Photovoltaic Generators
Proceedings of the IEEE (2011), preprint: arXiv:1008.0878
K. Turitsyn, P. Šulc, S. Backhaus, M. Chertkov - Local Control of Reactive Power by Distributed Photovoltaic Generators
IEEE SmartGridComm 2010, preprint: arXiv:1006.0160
K. Turitsyn, P. Šulc, S. Backhaus, M. Chertkov - Belief propagation for graph partitioning
Journal of Physics A: Math. & Theor. (2010), preprint: arXiv:0912.3563
P. Šulc, L. Zdeborová - Distributed control of reactive power flow in a radial distribution circuit with high photovoltaic penetration
IEEE Power and Energy Society General Meeting 2010, preprint: arXiv:0912.3281
K. Turitsyn, P. Šulc, S. Backhaus, M. Chertkov - Quantifying Slow Evolutionary Dynamics in RNA Fitness Landscapes
Journal of Bioinformatics and Computational Biology, (2010), preprint: arXiv:0911.5366
P. Šulc, O. C. Martin, A. Wagner - Random walk return probabilities and hitting times on sparse Erdos-Renyi graphs
Phys. Rev. E 81, (2010), preprint: arXiv:0902.2173
O. C. Martin, P. Šulc - Group theoretical construction of mutually unbiased bases in Hilbert spaces of prime dimensions
Journal of Physics A: Math. & Theor. (2007), preprint: arXiv:0708.4114
P. Šulc, J. Tolar
- Introduction to Molecular simulation
"Quantitative Biology: Theory, Computational Methods and Models", ed. B. Munsky, W.S. Hlavacek and L.S. Tsimring
MIT Press, 2018, pp. 179-208
Petr Sulc, Jonathan P.K. Doye, and Ard A. Louis - The oxDNA coarse-grained model as a tool to simulate DNA origami
DNA and RNA Origami: Methods and Protocols, Methods in Molecular Biology, Humana Press, (2023), preprint: arxiv
Jonathan PK Doye, Hannah Fowler, Domen Prešern, Joakim Bohlin, Lorenzo Rovigatti, Flavio Romano, Petr Šulc, Chak Kui Wong, Ard A Louis, John S Schreck, Megan C Engel, Michael Matthies, Erik Benson, Erik Poppleton, Benedict EK Snodin
Courses
2025 Summer
| Course Number | Course Title |
|---|---|
| BDE 792 | Research |
| CHM 392 | Intro to Research Techniques |
| PHY 792 | Research |
2025 Spring
| Course Number | Course Title |
|---|---|
| BCH 392 | Intro to Research Techniques |
| BCH 492 | Honors Directed Study |
| BCH 493 | Honors Thesis |
| CHM 392 | Intro to Research Techniques |
| CHM 492 | Honors Directed Study |
| CHM 493 | Honors Thesis |
| PHY 792 | Research |
| PHY 799 | Dissertation |
| BDE 799 | Dissertation |
| CHM 392 | Intro to Research Techniques |
| BDE 792 | Research |
| BCH 392 | Intro to Research Techniques |
| BDE 795 | Continuing Registration |
| BDE 799 | Dissertation |
| BCH 392 | Intro to Research Techniques |
| BCH 341 | Physical Chem with Bio Focus |
| BCH 341 | Physical Chem with Bio Focus |
| BDE 792 | Research |
2024 Fall
| Course Number | Course Title |
|---|---|
| BCH 392 | Intro to Research Techniques |
| BCH 492 | Honors Directed Study |
| BCH 493 | Honors Thesis |
| CHM 392 | Intro to Research Techniques |
| CHM 492 | Honors Directed Study |
| PHY 792 | Research |
| BDE 792 | Research |
| BDE 799 | Dissertation |
| CHM 598 | Special Topics |
| CHM 493 | Honors Thesis |
| BCH 392 | Intro to Research Techniques |
| CHM 598 | Special Topics |
| CHM 494 | Special Topics |
| CHM 494 | Special Topics |
| BDE 792 | Research |
| CHM 392 | Intro to Research Techniques |
2024 Summer
| Course Number | Course Title |
|---|---|
| BDE 792 | Research |
| PHY 792 | Research |
2024 Spring
| Course Number | Course Title |
|---|---|
| PHY 792 | Research |
| BDE 799 | Dissertation |
| BDE 792 | Research |
| BDE 792 | Research |
| BDE 795 | Continuing Registration |
| BDE 799 | Dissertation |
| BCH 341 | Physical Chem with Bio Focus |
| BCH 341 | Physical Chem with Bio Focus |
2023 Fall
| Course Number | Course Title |
|---|---|
| PHY 792 | Research |
| BDE 792 | Research |
| BDE 799 | Dissertation |
| CHM 501 | Current Topics in Chemistry |
2023 Summer
| Course Number | Course Title |
|---|---|
| BDE 792 | Research |
| BDE 795 | Continuing Registration |
2023 Spring
| Course Number | Course Title |
|---|---|
| BDE 799 | Dissertation |
| BDE 792 | Research |
| BCH 341 | Physical Chem with Bio Focus |
| BCH 341 | Physical Chem with Bio Focus |
| BDE 795 | Continuing Registration |
| BDE 799 | Dissertation |
2022 Fall
| Course Number | Course Title |
|---|---|
| BDE 792 | Research |
| BDE 799 | Dissertation |
2022 Summer
| Course Number | Course Title |
|---|---|
| BDE 792 | Research |
| BDE 795 | Continuing Registration |
2022 Spring
| Course Number | Course Title |
|---|---|
| CHM 341 | Elementary Physical Chemistry |
| BDE 799 | Dissertation |
| BDE 792 | Research |
| BDE 792 | Research |
| BDE 795 | Continuing Registration |
| BDE 799 | Dissertation |
2021 Fall
| Course Number | Course Title |
|---|---|
| BDE 792 | Research |
| BDE 799 | Dissertation |
| CHM 598 | Special Topics |
| CHM 598 | Special Topics |
| CHM 494 | Special Topics |
| CHM 494 | Special Topics |
| BDE 799 | Dissertation |
2021 Summer
| Course Number | Course Title |
|---|---|
| BDE 792 | Research |
2021 Spring
| Course Number | Course Title |
|---|---|
| CHM 341 | Elementary Physical Chemistry |
| BDE 799 | Dissertation |
| BDE 792 | Research |
2020 Fall
| Course Number | Course Title |
|---|---|
| CHM 341 | Elementary Physical Chemistry |
2020 Summer
| Course Number | Course Title |
|---|---|
| BDE 792 | Research |
2020 Spring
| Course Number | Course Title |
|---|---|
| CHM 240 | Math Methods in Chemistry |
| CHM 240 | Math Methods in Chemistry |
| CHM 240 | Math Methods in Chemistry |
| BDE 799 | Dissertation |
| BDE 792 | Research |