Logo - springer
Slogan - springer

Computer Science - Artificial Intelligence | Aims and Scope: Journal of Computational Electronics

Aims and Scope: Journal of Computational Electronics

The Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.


In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.


The Editors will emphasize advances and challenges arising from applications in multiscale problems focusing on those whose basis arises from physical and chemical sciences. A short list of the specific topics that lie within the scope of this new journal is as follows:


Semiconductor Devices:
Transport physics of ultrasmall structures;
Role of quantum effects--the transition from classical to quantum environment;
2D and 3D device simulations.


Optical Devices, Plasmonics, and Photonics:
Semiconductor laser diodes (VCSELs and VCSEL arrays, etc.);
Detectors (limits of high speeds and low signal intensities, etc.);
Coupling to the electromagnetics;
Plasmonics;
Photonic crystals.


Process Simulation:
Ab initio models;
Many-body interactions;
Molecular dynamics and Monte Carlo.

Energy and environment:
Photovoltaics (optical processes, charge transport);
Batteries (materials, ion transport and charge-exchange processes);
Fuel cells (e.g., hydrogen storage);
Carbon capture.

Nano-electro-mechanical systems:
Quantum mechanical and quantum electrodynamical forces;
Transition to classical approaches;
Coupled systems;
Nano-fluidics.


Mathematical Approaches:
Algorithms;
Implementation on parallel systems;
Special problems with quantum mechanics.

Correlated Areas:
Biological systems, ion channels, etc.;
Optical, mechanical and electronic interactions in molecular systems.

Open Quantum Systems:
Quantum electronics;
Special computational problems in quantum systems;
Quantum computing.