Strategies for the Development of Conjugated Polymer Molecular Dynamics Force Fields Validated with Neutron and X-ray Scattering

被引:20
|
作者
Wolf, Caitlyn M. [2 ,4 ]
Guio, Lorenzo [1 ]
Scheiwiller, Sage [2 ]
Pakhnyuk, Viktoria [3 ]
Luscombe, Christine [1 ,3 ]
Pozzo, Lilo D. [2 ]
机构
[1] Univ Washington, Dept Mat Sci & Engn, Seattle, WA 98195 USA
[2] Univ Washington, Dept Chem Engn, Seattle, WA 98195 USA
[3] Univ Washington, Dept Chem, Seattle, WA 98195 USA
[4] NIST, Ctr Neutron Res, Stop 6102, Gaithersburg, MD 20889 USA
来源
ACS POLYMERS AU | 2021年 / 1卷 / 03期
基金
美国国家科学基金会;
关键词
conjugated polymers; molecular dynamics simulation; neutron scattering; X-ray scattering; force field; machine learning; SYNDIOTACTIC POLY(METHYL METHACRYLATE); LIQUID-STATE PROPERTIES; ORIENTED ANALYSIS; CHARGE-TRANSPORT; AB-INITIO; PROGRAM PACKAGE; SIMULATIONS; NMOLDYN; PHASE; CONFORMATION;
D O I
10.1021/acspolymersau.1c00027
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
Conjugated polymers (CPs) enable a wide range of lightweight, lower cost, and flexible organic electronic devices, but a thorough understanding of relationships between molecular structure and dynamics and electronic performance is critical for improved device efficiencies and for new technologies. Molecular dynamics (MD) simulations offer in silico insight into this relationship, but their accuracy relies on the approach used to develop the model's parameters or force field (FF). In this Perspective, we first review current FFs for CPs and find that most of the models implement an arduous reparameterization of inter-ring torsion potentials and partial charges of classical FFs. However, there are few FFs outside of simple CP molecules, e.g., polythiophenes, that have been developed over the last two decades. There is also limited reparameterization of other parameters, such as nonbonded Lennard-Jones interactions, which we find to be directly influenced by conjugation in these materials. We further provide a discussion on experimental validation of MD FFs, with emphasis on neutron and X-ray scattering. We define multiple ways in which various scattering methods can be directly compared to results of MD simulations, providing a powerful experimental validation metric of local structure and dynamics at relevant length and time scales to charge transport mechanisms in CPs. Finally, we offer a perspective on the use of neutron scattering with machine learning to enable high-throughput parametrization of accurate and experimentally validated CP FFs enabled not only by the ongoing advancements in computational chemistry, data science, and high-performance computing but also using oligomers as proxies for longer polymer chains during FF development.
引用
收藏
页码:134 / 152
页数:19
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