Amanote Research

Amanote Research

    RegisterSign In

Optimization and Validation of Efficient Models for Predicting Polythiophene Self-Assembly

doi 10.20944/preprints201811.0115.v1
Full Text
Open PDF
Abstract

Available in full text

Date

November 5, 2018

Authors
Evan MillerMatthew JonesMichael HenryPaul CheryKyle MillerEric Jankowski
Publisher

MDPI AG


Related search

Towards Self-Adaptive Efficient Global Optimization

2019English

Optimization of the Self-Assembly Method for the Production of Psoriatic Skin Substitutes

2019English

Cyclic Oligothiophenes: Novel Organic Materials and Models for Polythiophene. A Theoretical Study

English

Efficient Global Multidisciplinary Optimization Based on Surrogate Models

2018English

Cyclic Oligothiophenes: Novel Organic Materials and Models for Polythiophene. A Theoretical Study.

Journal of Organic Chemistry
Organic Chemistry
2007English

Efficient Multi-Objective Optimization Methods for Computationally Intensive Urban Water Resources Models

Journal of Hydroinformatics
Geotechnical EngineeringCivilEngineering GeologyAtmospheric ScienceStructural EngineeringWater ScienceTechnology
2014English

Self-Assembly-Assisted Facile Synthesis of MoS2Based Hybrid Tubular Nanostructures for Efficient Bifunctional Electrocatalysis

English

Efficient Self-Optimization of Neighbour Cell Lists in Macrocellular Networks

2010English

Self-Assembly of Mono- And Dinuclear Metal Complexes; Oxidation Catalysis and Metalloenzyme Models

1994English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy