Fernando Alves Rochinha

Fernando Alves Rochinha

Universidade Federal do Rio de Janeiro

H-index: 19

Latin America-Brazil

About Fernando Alves Rochinha

Fernando Alves Rochinha, With an exceptional h-index of 19 and a recent h-index of 11 (since 2020), a distinguished researcher at Universidade Federal do Rio de Janeiro, specializes in the field of Mechanical Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

A bi‐fidelity model for hydraulic fracturing

Horizon extraction using absolute seismic phase obtained by unwrapping techniques

A probabilistic learning approach applied to the optimization of wake steering in wind farms

Uncertainty quantification of waterflooding in oil reservoirs computational simulations using a probabilistic learning approach

Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning models

A transfer learning-based digital twin for detecting localised torsional friction in deviated wells

Data-driven identification of coupling closure equations in vortex-induced vibrations phenomenological models

Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning

Fernando Alves Rochinha Information

University

Position

___

Citations(all)

1388

Citations(since 2020)

525

Cited By

1020

hIndex(all)

19

hIndex(since 2020)

11

i10Index(all)

38

i10Index(since 2020)

16

Email

University Profile Page

Universidade Federal do Rio de Janeiro

Google Scholar

View Google Scholar Profile

Fernando Alves Rochinha Skills & Research Interests

Mechanical Engineering

Top articles of Fernando Alves Rochinha

Title

Journal

Author(s)

Publication Date

A bi‐fidelity model for hydraulic fracturing

International Journal for Numerical and Analytical Methods in Geomechanics

Souleymane Zio

Fernando A Rochinha

2024/2

Horizon extraction using absolute seismic phase obtained by unwrapping techniques

Journal of Applied Geophysics

Charlan DS Alves

Bruno S Silva

Carlos HS Barbosa

Fernando A Rochinha

Alvaro LGA Coutinho

...

2023/11/1

A probabilistic learning approach applied to the optimization of wake steering in wind farms

Journal of Computing and Information Science in Engineering

Jeferson O Almeida

Fernando A Rochinha

2023/2/1

Uncertainty quantification of waterflooding in oil reservoirs computational simulations using a probabilistic learning approach

International Journal for Uncertainty Quantification

Jeferson Osmar Almeida

Fernando A Rochinha

2023

Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning models

Fuel

Rodolfo SM Freitas

Ágatha PF Lima

Cheng Chen

Fernando A Rochinha

Daniel Mira

...

2022/12/1

A transfer learning-based digital twin for detecting localised torsional friction in deviated wells

Mechanical Systems and Signal Processing

TG Ritto

K Worden

DJ Wagg

FA Rochinha

P Gardner

2022/7/1

Data-driven identification of coupling closure equations in vortex-induced vibrations phenomenological models

Ocean Engineering

Jacques Honigbaum

Fernando Alves Rochinha

2022/12/15

Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning

arXiv preprint arXiv:2110.09360

Rodolfo SM Freitas

Ágatha PF Lima

Cheng Chen

Fernando A Rochinha

Daniel Mira

...

2021/10/18

Digital twin, physics-based model, and machine learning applied to damage detection in structures

Mechanical Systems and Signal Processing

TG Ritto

FA Rochinha

2021/6/16

An encoder-decoder deep surrogate for reverse time migration in seismic imaging under uncertainty

Computational Geosciences

Rodolfo SM Freitas

Carlos HS Barbosa

Gabriel M Guerra

Alvaro LGA Coutinho

Fernando A Rochinha

2021/6

Parametric and model uncertainties induced by reduced order chemical mechanisms for biogas combustion

Chemical Engineering Science

Rodolfo SM Freitas

Fernando A Rochinha

Daniel Mira

Xi Jiang

2020/12/14

A workflow for seismic imaging with quantified uncertainty

Computers & Geosciences

Carlos HS Barbosa

Liliane NO Kunstmann

Rômulo M Silva

Charlan DS Alves

Bruno S Silva

...

2020/12/1

EdgeCFD: a parallel residual-based variational multiscale code for multiphysics

International Journal of Computational Fluid Dynamics

Adriano MA Cortes

Erb F Lins

Gabriel M Guerra

Rômulo M Silva

José LD Alves

...

2020/9/13

Data-driven calibration of P3D hydraulic fracturing models

International Journal for Uncertainty Quantification

Souleymane Zio

Fernando A Rochinha

2020

See List of Professors in Fernando Alves Rochinha University(Universidade Federal do Rio de Janeiro)

Co-Authors

H-index: 89
Glaucio H. Paulino

Glaucio H. Paulino

Georgia Institute of Technology

H-index: 39
Marta Mattoso

Marta Mattoso

Universidade Federal do Rio de Janeiro

H-index: 34
Rubens Sampaio

Rubens Sampaio

Pontifícia Universidade Católica do Rio de Janeiro

H-index: 31
Daniel de Oliveira

Daniel de Oliveira

Universidade Federal Fluminense

H-index: 25
Vanessa Braganholo

Vanessa Braganholo

Universidade Federal Fluminense

H-index: 24
Thiago G Ritto

Thiago G Ritto

Universidade Federal do Rio de Janeiro

academic-engine