From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study
Abstract
The association of ionizable polymers strongly affects their motion in solutions, where the constraints arising from clustering of the ionizable groups alter the macroscopic dynamics. The interrelation between the motion on multiple length and time scales is fundamental to a broad range of complex fluids including physical networks, gels, and polymer-nanoparticle complexes where long-lived associations control their structure and dynamics. Using neutron spin echo and fully atomistic, multimillion atom molecular dynamics (MD) simulations carried out to times comparable to that of chain segmental motion, the current study resolves the dynamics of networks formed by polystyrene sulfonate solutions for sulfonation fractions 0 ≤ f ≤ 0.09 across time and length scales. The experimental dynamic structure factors were measured and compared with computational ones, calculated from MD simulations, and analyzed in terms of a sum of two exponential functions, providing two distinctive time scales. These time constants capture confined motion of the network and fast dynamics of the highly solvated segments. A unique relationship between the polymer dynamics and the size and distribution of the ionic clusters was 2 established and correlated with the number of polymer chains that participate in each cluster. The correlation of dynamics in associative complex fluids acrossmore »
- Authors:
-
- Department of Chemistry, Clemson University, Clemson, South Carolina 29634, United States
- Department of Chemistry, Clemson University, Clemson, South Carolina 29634, United States, Department of ChemistryAppalachian State University, Boone, North Carolina 26808, United States
- Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
- Sandia National Laboratories, Albuquerque, New Mexico 87175, United States
- Department of Chemistry, Clemson University, Clemson, South Carolina 29634, United States, Department of Physics, Clemson University, Clemson, South Carolina 29631, United States
- Publication Date:
- Research Org.:
- Clemson Univ., SC (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division (MSE); National Science Foundation (NSF); USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities (SUF)
- OSTI Identifier:
- 2311006
- Alternate Identifier(s):
- OSTI ID: 2301683; OSTI ID: 2335869; OSTI ID: 2338245
- Report Number(s):
- SAND-2024-04642J
Journal ID: ISSN 2694-2453
- Grant/Contract Number:
- AC02- 05CH11231.; NA-0003525; SC0019284; AC02-05CH11231; NA0003525; MRI-1725573
- Resource Type:
- Published Article
- Journal Name:
- ACS Polymers Au
- Additional Journal Information:
- Journal Name: ACS Polymers Au Journal Volume: 4 Journal Issue: 2; Journal ID: ISSN 2694-2453
- Publisher:
- American Chemical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; 97 MATHEMATICS AND COMPUTING; ionomer solutions; suflonated polystyrene; neutron spin echo; molecular dynamics simulations; exascale computing; dynamics; ionomer solutions, suflonated polystryene, neutron spin echo, molecular dynamics simulations, exascale computing, dynamics
Citation Formats
Kosgallana, Chathurika, Wijesinghe, Sidath, Senanayake, Manjula, Mohottalalage, Supun S., Ohl, Michael, Zolnierczuk, Piotr, Grest, Gary S., and Perahia, Dvora. From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study. United States: N. p., 2024.
Web. doi:10.1021/acspolymersau.3c00049.
Kosgallana, Chathurika, Wijesinghe, Sidath, Senanayake, Manjula, Mohottalalage, Supun S., Ohl, Michael, Zolnierczuk, Piotr, Grest, Gary S., & Perahia, Dvora. From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study. United States. https://doi.org/10.1021/acspolymersau.3c00049
Kosgallana, Chathurika, Wijesinghe, Sidath, Senanayake, Manjula, Mohottalalage, Supun S., Ohl, Michael, Zolnierczuk, Piotr, Grest, Gary S., and Perahia, Dvora. Thu .
"From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study". United States. https://doi.org/10.1021/acspolymersau.3c00049.
@article{osti_2311006,
title = {From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study},
author = {Kosgallana, Chathurika and Wijesinghe, Sidath and Senanayake, Manjula and Mohottalalage, Supun S. and Ohl, Michael and Zolnierczuk, Piotr and Grest, Gary S. and Perahia, Dvora},
abstractNote = {The association of ionizable polymers strongly affects their motion in solutions, where the constraints arising from clustering of the ionizable groups alter the macroscopic dynamics. The interrelation between the motion on multiple length and time scales is fundamental to a broad range of complex fluids including physical networks, gels, and polymer-nanoparticle complexes where long-lived associations control their structure and dynamics. Using neutron spin echo and fully atomistic, multimillion atom molecular dynamics (MD) simulations carried out to times comparable to that of chain segmental motion, the current study resolves the dynamics of networks formed by polystyrene sulfonate solutions for sulfonation fractions 0 ≤ f ≤ 0.09 across time and length scales. The experimental dynamic structure factors were measured and compared with computational ones, calculated from MD simulations, and analyzed in terms of a sum of two exponential functions, providing two distinctive time scales. These time constants capture confined motion of the network and fast dynamics of the highly solvated segments. A unique relationship between the polymer dynamics and the size and distribution of the ionic clusters was 2 established and correlated with the number of polymer chains that participate in each cluster. The correlation of dynamics in associative complex fluids across time and length scales, enabled by combining the understanding attained from reciprocal space through neutron spin echo and real space, through large scale MD studies, addresses a fundamental long-standing challenge that underline the behavior of soft materials and affect their potential uses.},
doi = {10.1021/acspolymersau.3c00049},
journal = {ACS Polymers Au},
number = 2,
volume = 4,
place = {United States},
year = {Thu Feb 22 00:00:00 EST 2024},
month = {Thu Feb 22 00:00:00 EST 2024}
}
https://doi.org/10.1021/acspolymersau.3c00049
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