Faculty profile
Claudia Gomes da Rocha
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Calgary directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Tuning the electro-optical properties of nanowire networks.
Nanoscale · 2021 · senior author
Nonlinear ion drift-diffusion memristance description of TiO2 RRAM devices.
Nanoscale advances · 2020 · senior author
Time-resolved impurity-invisibility in graphene nanoribbons.
Nanoscale · 2019
Latest funding
- $50,000
Computational qubit description of nanomaterials-based quantum sensing platforms: From design to applications
NSERC · 2024 · Principal investigator
- $25,000
Computational description of two-dimensional (2D) material-based quantum sensing platforms: from design to applications
NSERC · 2023 · Principal investigator
Single-subject predictors of autism spectrum disorder via next-generation machine learning models
CIHR · 2022 · Co-investigator
3 publications.
Tuning the electro-optical properties of nanowire networks.
Esteki K, Manning HG, Sheerin E, Ferreira MS, Boland JJ, Gomes da Rocha C
Nonlinear ion drift-diffusion memristance description of TiO2 RRAM devices.
Alialy S, Esteki K, Ferreira MS, Boland JJ, Gomes da Rocha C
Time-resolved impurity-invisibility in graphene nanoribbons.
Tuovinen R, Sentef MA, Gomes da Rocha C, Ferreira MS
Computational qubit description of nanomaterials-based quantum sensing platforms: From design to applications
Principal investigators: Gomes da Rocha, Claudia C
Keywords: chemical sensing; computational nanoscience; machine learning; nanomaterials; nanotechnology; quantum materials; quantum neuromorphic computing; quantum sensing; reservoir computing; two-dimensional materials
Computational description of two-dimensional (2D) material-based quantum sensing platforms: from design to applications
Principal investigators: Gomes da Rocha, Claudia C
Keywords: computational nanoscience; computational physics; density functional theory; electronic and transport properties; machine learning; nanomaterials; nanotechnology; quantum materials; quantum sensing; two-dimensional materials
Single-subject predictors of autism spectrum disorder via next-generation machine learning models
Principal investigators: Sotero Diaz, Roberto C
Keywords: Autism Spectrum Disorder; Fmri; Machine Leaning; Neural Mass Models
Synthetic neural networks for neuromorphic applications
Principal investigators: Gomes da Rocha, Claudia
Keywords: disordered nanoscale materials; nanowire networks; neuromorphic systems; memristive systems; complex systems; hardware neural networks; computational condensed matter physics; charge transport phenomena; stochastic and nonlinear processes; nonlinear electronic circuits
Synthetic neural networks for neuromorphic applications
Principal investigators: Gomes da Rocha, Claudia
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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