Fernando A. Rochinha

Universidade Federal do Rio de Janeiro — Brazil

Engineering · Physical Sciences

19h-index1.5kcitations264works0.62yr avg
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Research Topics

Numerical methods in engineering(60), Composite Structure Analysis and Optimization(26), Structural Health Monitoring Techniques(20), Advanced ceramic materials synthesis(18), Composite Material Mechanics(18)

Publications262 total

Pathways to sustainable fuel design from a probabilistic deep learning perspective
Advances in Applied Energy·2025· 1 citedOpen Access
Advances in data-driven reduced order models using two-stage dimension reduction for coupled viscous flow and transport
Finite Elements in Analysis and Design·2025· 1 cited
Bayesian uncertainty estimation of adsorption closure models in the computational simulation of contaminant transport
Journal of Environmental Management·2025· 3 citedOpen Access
Improving accuracy of parametric surrogate model for turbidity currents using diffusion-based super-resolution
Ibero-Latin American Congress on Computational Methods in Engineering (CILAMCE)·2024Open Access
Ablation study of a non-intrusive data-driven surrogate model for the Rayleigh-Bénard convection problem
Ibero-Latin American Congress on Computational Methods in Engineering (CILAMCE)·2024Open Access
An embedded deep learning model discrepancy for computational combustion simulations
Journal of the Brazilian Society of Mechanical Sciences and Engineering·2024
Transformer-based models for predictive simulations of vortex-induced vibrations
2024
Advances in Data-Driven Reduced Order Models Using Two-Stage Dimension Reduction for Coupled Viscous Flow and Transport
SSRN Electronic Journal·2024Open Access
A bi‐fidelity model for hydraulic fracturing
International Journal for Numerical and Analytical Methods in Geomechanics·2023· 1 citedOpen Access
Horizon extraction using absolute seismic phase obtained by unwrapping techniques
Journal of Applied Geophysics·2023· 3 cited
Transformers Surrogates for Vortex-Induced Vibrations Computational Simulations
2023
UNCERTAINTY QUANTIFICATION OF WATERFLOODING IN OIL RESERVOIRS COMPUTATIONAL SIMULATIONS USING A PROBABILISTIC LEARNING APPROACH
International Journal for Uncertainty Quantification·2023· 4 cited
A Physics-Based Machine Learning Model for Fatigue in Wind Turbines Devices
2023
An Embedded Deep Learning Model Discrepancy for Computational Combustion Simulations
SSRN Electronic Journal·2023Open Access
Data-driven identification of coupling closure equations in vortex-induced vibrations phenomenological models
Ocean Engineering·2022· 5 cited
Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning models
Fuel·2022· 26 citedOpen Access
A Probabilistic Learning Approach Applied to the Optimization of Wake Steering in Wind Farms
Journal of Computing and Information Science in Engineering·2022· 11 cited
A transfer learning-based digital twin for detecting localised torsional friction in deviated wells
Mechanical Systems and Signal Processing·2022· 28 cited
Modelagem Multifidelidade para Otimização da Geração de Energia Eólica através de Redirecionamento de Esteiras
Proceedings of the XI Congresso Nacional de Engenharia Mecânica - CONEM 2022·2022
Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning
arXiv (Cornell University)·2021· 1 citedOpen Access
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Frequent Co-authors

Gláucio H. Paulino(18), Eshan Dave(14), Marek‐Jerzy Pindera(13), Robert H. Dodds(13), Álvaro L. G. A. Coutinho(9), Eduardo Gomes Dutra do Carmo(6), Linfeng Chen(6), Renato N. Elias(6), Gabriel M. Guerra(6), Abimael F. D. Loula(5), Thiago Ritto(4), Gustavo Benitez Alvarez(4), Daniel A. Castello(4), Marta Mattoso(4), José J. Camata(4), Souleymane Zio(4), Rubens Sampaio(3), Leonardo Tavares Stutz(3), Jonas Dias(3), Paulo L.B. Paraizo(3)