A Novel Approach to Multiscale Modeling of Kinetic Processes in Multiphase Polymer Systems


Incompatible interactions between different constituents of inhomogeneous polymer systems causes them to assemble into ordered morphologies. These assembled morphologies have found applications as thermoplastic elastomers, materials for drug delivery and release, gas capture, water purification, energy conversion, and also in soft lithography. Consequently, comprehending the relation between the molecular features of polymers and the ordered morphologies formed by them has been a subject of active investigation for a long time. So far, various scattering and reflectometry techniques have been employed to study the kinetic pathways leading to order − order and order−disorder transitions in block copolymer systems. However, the dynamics in inhomogeneous polymer systems involves relaxation processes occurring over multiple length and time scales. As a result, finding an experimental technique that can capture the dynamics over the entire spectrum of length and time scales is an extremely daunting task. Currently, Dynamic density functional theory (DDFT) or the dynamic self-consistent field theory have been promoted as a theoretical alternative to study the polymer dynamics on the relevant mesoscopic length and time scales. DDFT has significantly advanced current knowledge regarding polymer dynamics; however, it suffers from the problem that DDFT models are typically constructed in an ad hoc manner.

Recent publications have also revealed that the particular choice of DDFT model has a crucial influence on the results. Where so-called “local” models tend to overestimate the speed of structure formation, other “non-local” models tend to underestimate it, also the pathways of structure formation are affected. Therefore, it is pivotal that the shortfalls of DDFT be addressed. On this account, researchers at the Johannes Gutenberg University of Mainz in Germany: Dr. Sriteja Mantha and Professor Friederike Schmid, in collaboration with Dr. Shuanhu Qi at Beihang University in China explored two physically motivated bottom up construction schemes for determining DDFT mobility functions Λ (r, r′) from microscopic simulations. Their work is currently published in the research journal, Macromolecules.

In their approach, the research team proposed and compared different strategies to construct DDFTs for inhomogeneous polymer systems close to equilibrium from microscopic simulation trajectories. In particular, they focused on the systematic construction of the mobility coefficient, Λ(r,r′), which relates the thermodynamic driving force on monomers at position r′ to the motion of monomers at position r.

Surprisingly, a first approach that was based on the Green−Kubo formalism turned out to be impractical because of a severe plateau problem. As a result, the team proposed to extract the mobility coefficient from an effective characteristic relaxation time of the single chain dynamic structure factor. To test their approach, they studied the kinetics of ordering and disordering in diblock copolymer melts, and obtained excellent agreement between DDFT calculations and microscopic simulations.

In summary, the study presented the development of a systematic bottom-up coarse-graining strategies for constructing nonlocal mobility functions Λ̂(q) in DDFT models for polymeric systems. Their goal was to extract the mobility functions from trajectories of fine-grained, microscopic simulations. As such, they explored two physically motivated approaches. Remarkably, the DDFT results were in very good agreement with the data from corresponding fine-grained simulations. In a statement to Advances in Engineering, Professor Friederike Schmid, the corresponding author, said their work showed a way how to systematically construct dynamic field-based models for polymeric systems, which capture both the global dynamics and the relaxation due to local rearrangements of the chain at the relevant length scales.

A Novel Approach to Multiscale Modeling of Kinetic Processes in Multiphase Polymer Systems - Advances in Engineering

About the author

Sriteja Mantha received his Integrated Bachelors and Masters degree in Industrial Chemistry from Indian Institute of Technology (IIT) Kharagpur in the year 2011. He was awarded institute silver medal for his curricular achievements. His undergraduate research on, computational modelling and properties of sDNA, under the guidance of Prof. Sanjoy Bandyopadhyay was awarded best academic project. Following his undergraduate studies, Sriteja moved to University of Wisconsin-Madison for his graduate education. He was awarded Ph.D in the year 2016 for his thesis on, self-assembly of gemini-surfactants and properties of nano-confined water, working under the guidance of Prof. Arun Yethiraj. Early 2017, Sriteja moved to Mainz, Germany for his post-doctoral research work.

At University of Mainz, under the supervision of Prof. Friederike Schmid, he gained expertise in field-theoretic techniques and applied these methods to investigate equilibrium and dynamic properties of different soft-condensed matter systems. As of 2020, Sriteja is a post-doctoral research associate in Prof. Zhen-Gang Wang’s research group at California Institute of Technology.

About the author

Shuanhu Qi received his B.Sc. in Physics in 2003 from Hebei University, China, and his Ph.D. in Chemistry in 2010 from the Institute of Chemistry, Chinese Academy of Sciences where he worked with Dadong Yan. He then did his postdoctoral research in University of Mainz with Friederike Schmid.

Since 2018 he moved to Beihang University as an associate professor in School of Chemistry. Shuanhu Qi’s research is the theoretical and simulational study on structures, phase behavior, interfacial and dynamic properties of polymer systems. His current activities focus mainly on three topics: switching behavior of stimuli-responsive brushes, swelling and mechanical properties of neutral and charged polymer gels, and collective dynamics of polymer melts and solutions.

About the author

Friederike Schmid studied Physics in Heidelberg, Munich (LMU), and Mainz in Germany. She received her diploma in Physics in Munich in 1991 under the supervision of Johann Peisl, her PhD in 1991 in Mainz under the supervision of Kurt Binder, and a Habilitation in Theoretical Physics in 1997. She was appointed professor at the university of Bielefeld in 2000, and later moved to Mainz in 2009 to take the chair of the “Statistical Physics and Soft Matter Theory” group. External stays include a postdoctoral research time 1992-1994 wich Michael Schick at the University of Washington and sabbaticals at UCSB Santa Barbara (MRL) and at the University of Cambridge. She obtained the “Gerhard Hess award” of the German Science foundation in 1998 and the “Karl-Peter Grotemeyer award” for excellent teaching in 2003.

Her current research interests include amphiphilic systems and membranes, field-based simulation methods and self-consistent field theory for polymers, and multiscale simulation methods. She is currently the spokesperson of a collaborative research center on “Multiscale simulation methods in soft matter science” (trr146.de).


Sriteja Mantha, Shuanhu Qi, Friederike Schmid. Bottom-up Construction of Dynamic Density Functional Theories for Inhomogeneous Polymer Systems from Microscopic Simulations. Macromolecules 2020, volume 53, page 3409−3423.

Go To Macromolecules

Check Also

High-Resolution Mapping of Cluster Magnetic Octupole Moments in Mn3Sn Nanowires for Advanced Spintronic Applications - Advances in Engineering

High-Resolution Mapping of Cluster Magnetic Octupole Moments in Mn3Sn Nanowires for Advanced Spintronic Applications