Customizing topographical templates for aperiodic nanostructures of block copolymers via inverse design

2019 ◽  
Vol 21 (15) ◽  
pp. 7781-7788 ◽  
Author(s):  
Runrong Zhang ◽  
Liangshun Zhang ◽  
Jiaping Lin ◽  
Shaoliang Lin
Keyword(s):  
Theoretical Model ◽  
Block Copolymers ◽  
Search Algorithm ◽  
Inverse Design

We integrated an advanced inverse search algorithm with a polymeric theoretical model to customize topographical templates for the reproduction of target structures over exceptionally large areas.

Optimizing Topographical Templates for Directed Self-Assembly of Block Copolymers via Inverse Design Simulations

Nano Letters ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 318-325 ◽  
Author(s):  
Adam F. Hannon ◽  
Yi Ding ◽  
Wubin Bai ◽  
Caroline A. Ross ◽  
Alfredo Alexander-Katz
Keyword(s):  
Block Copolymers ◽  
Self Assembly ◽  
Inverse Design

AN ALGORITHM OF DETECTING OUTLIERS IN SVR

2012 ◽  
Vol 10 (05) ◽  
pp. 1250047 ◽  
Author(s):  
SHAOHUA ZENG ◽  
YUANYAN TANG ◽  
YAN WEI ◽  
HANSHU QIN
Keyword(s):  
Theoretical Model ◽  
Regression Model ◽  
Large Scale ◽  
Search Algorithm ◽  
Test Functions ◽  
Its Analysis ◽  
Regression Problems ◽  
Simulation Results ◽  
The Relationship ◽  
Improved Algorithm

This paper defines an outlier and a measure that an outlier does not fit the theoretical model in the regression problems, studies the relationship between the theoretical model and the regression model in the regression problems, proposes and verifies an approximate theorem in which one-by-one deletes outlier and constructs SVR to approximate its theoretical model, draws an algorithm of detecting outliers in the SVR problems based on the approximate theorem, and analyzes the convergence and effectiveness of the algorithm in the theory. Next, it combines the step-by-step search algorithm were proposed by authors and the former detecting outlier algorithm to improve it, and brings forward an algorithm detecting outliers in SVR based on large-scale samples. Then, its analysis in theory shows the improved algorithm is convergent and effective too. Finally, its simulation results show that the detecting outlier algorithms are effective and robust, using samples produced by two test functions and in UCI dataset.

scholarly journals A Gradient-probability-driven Discrete Search Algorithm for On-chip photonics Inverse Design

2021 ◽  
Author(s):  
ShangLin Yang ◽  
Hao Jia ◽  
Lei Zhang ◽  
Dai JinCheng ◽  
Xin Fu ◽  
...  
Keyword(s):  
Search Algorithm ◽  
Inverse Design ◽  
Discrete Search ◽  
On Chip

Inverting the design path for self-assembled block copolymers

2017 ◽  
Vol 2 (5) ◽  
pp. 539-548 ◽  
Author(s):  
Karim R. Gadelrab ◽  
Adam F. Hannon ◽  
Caroline A. Ross ◽  
Alfredo Alexander-Katz
Keyword(s):  
Block Copolymers ◽  
Target Function ◽  
Building Blocks ◽  
Inverse Design ◽  
Design Methodologies ◽  
Recent Success ◽  
Self Assembled

Recent success of inverse design methodologies in the realm of self-assembled materials has allowed us to envision an inverse path of discovery where we go from a desired target function to building blocks.

Inverse Design of Topographical Templates for Directed Self-Assembly of Block Copolymers

2013 ◽  
Vol 2 (3) ◽  
pp. 251-255 ◽  
Author(s):  
Adam F. Hannon ◽  
Kevin W. Gotrik ◽  
Caroline A. Ross ◽  
Alfredo Alexander-Katz
Keyword(s):  
Block Copolymers ◽  
Self Assembly ◽  
Inverse Design

Three-dimensional inverse design of nanopatterns with block copolymers and homopolymers

Nanoscale ◽  
2016 ◽  
Vol 8 (9) ◽  
pp. 5235-5244 ◽  
Author(s):  
Dan Xu ◽  
Hong Liu ◽  
You-Liang Zhu ◽  
Zhong-Yuan Lu
Keyword(s):  
Block Copolymers ◽  
Dissipative Particle Dynamics ◽  
Three Dimensional ◽  
Design Strategy ◽  
Particle Dynamics ◽  
Inverse Design ◽  
Dynamics Simulations

We propose a facile inverse design strategy to generate 3D nanopatterns by using either block copolymers or a binary homopolymer blendviadissipative particle dynamics simulations.

A Model for Analyzing Suicide Prevention

Crisis ◽  
2000 ◽  
Vol 21 (2) ◽  
pp. 80-89 ◽  
Author(s):  
Maila Upanne
Keyword(s):  
Risk Factors ◽  
Theoretical Model ◽  
Protective Factors ◽  
Suicide Prevention ◽  
Suicide Risk ◽  
Practical Work ◽  
Individual Risk ◽  
Self Assessment ◽  
Prevention Project ◽  
Individual Risk Factors

This study monitored the evolution of psychologists' (n = 31) conceptions of suicide prevention over the 9-year course of the National Suicide Prevention Project in Finland and assessed the feasibility of the theoretical model for analyzing suicide prevention developed in earlier studies [ Upanne, 1999a , b ]. The study was formulated as a retrospective self-assessment where participants compared their earlier descriptions of suicide prevention with their current views. The changes in conceptions were analyzed and interpreted using both the model and the explanations given by the subjects themselves. The analysis proved the model to be a useful framework for revealing the essential features of prevention. The results showed that the freely-formulated ideas on prevention were more comprehensive than those evolved in practical work. Compared to the earlier findings, the conceptions among the group had shifted toward emphasizing a curative approach and the significance of individual risk factors. In particular, greater priority was focused on the acute suicide risk phase as a preventive target. Nonetheless, the overall structure of prevention ideology remained comprehensive and multifactorial, stressing multistage influencing. Promotive aims (protective factors) also remained part of the prevention paradigm. Practical working experiences enhanced the psychologists' sense of the difficulties of suicide prevention as well as their criticism and feeling of powerlessness.

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