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T. Van Vaerenbergh

Researcher at Ghent University

Publications -  20
Citations -  2033

T. Van Vaerenbergh is an academic researcher from Ghent University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 3, co-authored 8 publications receiving 1630 citations.

Papers
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Journal ArticleDOI

Silicon microring resonators

TL;DR: An overview of the current state-of-the-art in silicon nanophotonic ring resonators is presented in this paper, where the basic theory of ring resonance is discussed and applied to the peculiarities of submicron silicon photonic wire waveguides: the small dimensions and tight bend radii, sensitivity to perturbations and the boundary conditions of the fabrication processes.
Journal ArticleDOI

An Energy-Efficient and Bandwidth-Scalable DWDM Heterogeneous Silicon Photonics Integration Platform

TL;DR: In this paper , a 40-channel DWDM architecture and platform fabrication are discussed, followed by experimental demonstration of each high-quality building block, and a successful 8 × 25 Gb/s link demonstration paves the way for the world's first fully-integrated 3DV-on-silicon PIC on Si with Terabit/s aggregated bandwidth and energy efficiency likely to ∼100 fJ/bit.
Proceedings ArticleDOI

Optical information processing: Advances in nanophotonic reservoir computing

TL;DR: A network of coupled photonic crystal cavities with a lot of power stored in the cavity gives rise to interesting nonlinear effects and it is shown that photonic reservoirs can outperform classical software-based reservoirs on a pattern generation task.
Proceedings ArticleDOI

Multi-parameter Extraction from SOI Photonic Integrated Circuits using Circuit Simulation and Evolutionary Algorithms

TL;DR: In this paper, an evolutionary fitting algorithm based on the covariance matrix adaptation method is used to match the circuit simulation with the measurement, which can be used to extract the parameters in real time, and correlate the functional parameters of the waveguides with process statistics collected during fabrication.
Journal ArticleDOI

Differentiable Content Addressable Memory with Memristors

TL;DR: Four applications are quantitatively evaluated to highlight the capabilities: improved data pattern storage, improved robustness to noise and variability, reduced energy and latency performance, and an application to solving Boolean satisfiability optimization problems.