Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael A. Littlejohn
dblp:12/2170
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 67% Integrated circuit design · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › technology computer-aided design
device simulation |
0.0 | 1 | 1994 | The implementation of physical boundary conditions in the Monte Carlo simulation of electron devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1994 |
Electronic design automation › technology computer-aided design › device simulation
monte carlo device simulation |
0.0 | 1 | 1994 | The implementation of physical boundary conditions in the Monte Carlo simulation of electron devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1994 |
Integrated circuit design › semiconductor devices
semiconductor device physics |
0.0 | 1 | 1994 | The implementation of physical boundary conditions in the Monte Carlo simulation of electron devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1994 |
Methods — techniques the papers use, named apart from their topics
monte carlo method · 0.0displaced maxwellian scheme · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | The implementation of physical boundary conditions in the Monte Carlo simulation of electron devicesabstractThis paper investigates the problem of specifying and implementing physical boundary conditions for the Monte Carlo (MC) simulation of electron dynamics in semiconductor devices. The goal of this work is to establish an accurate and efficient ohmic boundary condition scheme for use in characterizing realistic device structures. In this work, three distinct physical models for specifying the boundary electrons at the ideal ohmic contacts of an N/sup +/-N-N/sup +/ GaAs Ballistic diode structure are investigated. This study demonstrates that a displaced Maxwellian scheme, which allows for an electron ensemble with momentum space displacement and random spread, presents definite computational advantages when one is interested in resolving asymmetries in the electron distribution function throughout the semiconductor device structure.> Dwight L. Woolard, Hong Tian, Michael A. Littlejohn, Ki Wook Kim |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 3 |