2005
DOI: 10.1002/qsar.200420067
|View full text |Cite
|
Sign up to set email alerts
|

Property Prediction and Hybrid Modeling for Combinatorial Materials

Abstract: In combinatorial research, one seeks to mimic a natural evolution process, such that a diverse collection of materials improves over time, in response to an external challenge. Modeling such experiments is important for validation and rational design challenges. We present a new hybrid modeling method, which allows more efficient simulation of mesoscale (10 À9 -10 À6 m) phenomena, and is a prototype for a broader approach, which we intend to encompass molecular interactions, nanoscale, and microfluidics. As an… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2005
2005
2020
2020

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(6 citation statements)
references
References 29 publications
(10 reference statements)
0
6
0
Order By: Relevance
“…Our computer simulations of 3D images of block copolymer grain boundaries are one step further toward the hybrid modeling in combinatorial polymer research. 77…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Our computer simulations of 3D images of block copolymer grain boundaries are one step further toward the hybrid modeling in combinatorial polymer research. 77…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, our theoretical approach together with the method of inverse mapping for 3D structure reconstruction from a 2D morphology recently developed in our group can serve as an additional powerful tool for studying 3D grain boundary structures, which complements experiments on 3D real-space volume imaging. Our computer simulations of 3D images of block copolymer grain boundaries are one step further toward the hybrid modeling in combinatorial polymer research …”
Section: Resultsmentioning
confidence: 99%
“…For the mesoscopic simulation of the self-assembly of dendrimers, we developed an innovative multiscale hierarchical procedure [9]. In particular, a hybrid method (Self-Consistent Field/Brownian Dynamics) [10] was applied for exploring the mesoscopic behavior of hydrophobically modified PAMAM dendrimers up to G6. Briefly, the computational recipe consists of a hierarchy of independent models, where information from one (lower) level is passed to the next (higher) level in a sort of "message-passing" procedure.…”
Section: Methodsmentioning
confidence: 99%
“…They were among the first systems studied using DDFT and the theory presented in Section 3.2.3 is now one of the most widely used methods in the simulation of polymer systems. Applications include phase behavior [55,[360][361][362]433,524,, systems under shear [51,[433][434][435][436][437][438][439][440][441][442][443][444][445], pattern formation and self-organization [56,269,270,[866][867][868][869][870][871][872][873][874][875][876][877][878][879][880][881], effects of electric fields [882][883][884][885], adsorption/desorption kinetics [886], thin films [55,56,…”
Section: Polymersmentioning
confidence: 99%
“…DDFT has also been used to describe reentrance effects [325] and fluids with attractive interactions [323]. A particularly frequently used method for studying pattern formation is polymer DDFT [56,269,270,[866][867][868][869][870][871][872][873][874][875][876][877][878][879][880][881].…”
Section: Pattern Formationmentioning
confidence: 99%