Demo Data from EDBT 2026 / reviewers in the wild / expert
Alison B. Walker
dblp:202/3329
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2009
0000-0002-2232-9734ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 44% Computational science and engineering · 44% Energy systems and smart grids · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology
multiscale modeling |
0.1 | 1 | 2009 | Multiscale Modeling of Charge and Energy Transport in Organic Light-Emitting Diodes and Photovoltaics · Proc. IEEE 2009 |
Energy systems and smart grids › photovoltaics
organic photovoltaics |
0.0 | 1 | 2009 | Multiscale Modeling of Charge and Energy Transport in Organic Light-Emitting Diodes and Photovoltaics · Proc. IEEE 2009 |
Methods — techniques the papers use, named apart from their topics
monte carlo · 0.1electronic structure theory · 0.1drift-diffusion · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Multiscale Modeling of Charge and Energy Transport in Organic Light-Emitting Diodes and PhotovoltaicsabstractModelling organic devices is an outstanding challenge because device performance is very sensitive to how the molecules are packed and the films are highly disordered. An understanding of charge and exciton (bound electron-hole pair) transport in these materials is important if organic light-emitting diodes are to be exploited in displays, lighting, photovoltaics, transistors, and sensors. This paper discusses methods we have pioneered for predicting charge and exciton transport, in which polymer chains are explicitly modeled and charge and exciton transfer rates are taken from electronic structure theory. Monte Carlo and drift diffusion device models that link device performance with morphology are also covered. The focus here is on polymers, but there is much in common with small molecule organic materials. Alison B. Walker |
Proc. IEEE | 1 |