Publicacions en què col·labora amb Lucas Francisco dos Santos (12)

2024

  1. Hybrid analytical surrogate-based process optimization via Bayesian symbolic regression

    Computers and Chemical Engineering, Vol. 182

2023

  1. Multi-objective simulation–optimization via kriging surrogate models applied to natural gas liquefaction process design

    Energy, Vol. 262

  2. Optimization of chemical process simulation: Application to the optimal rigorous design of natural gas liquefaction processes

    Optimization of chemical process simulation: Application to the optimal rigorous design of natural gas liquefaction processes

2022

  1. Energy and economic comparison of five mixed-refrigerant natural gas liquefaction processes

    Energy Conversion and Management, Vol. 272

  2. Framework for embedding black-box simulation into mathematical programming via kriging surrogate model applied to natural gas liquefaction process optimization

    Applied Energy, Vol. 310

  3. MINLP model for work and heat exchange networks synthesis considering unclassified streams

    Computer Aided Chemical Engineering (Elsevier B.V.), pp. 793-798

  4. Multi-objective optimization of natural gas liquefaction process simulation via kriging surrogate model

    Computer Aided Chemical Engineering (Elsevier B.V.), pp. 781-786

2021

  1. Design and optimization of energy-efficient single mixed refrigerant LNG liquefaction process

    Brazilian Journal of Chemical Engineering, Vol. 38, Núm. 4, pp. 669-682

  2. Framework for Embedding Process Simulator in GAMS via Kriging Surrogate Model Applied to C3MR Natural Gas Liquefaction Optimization

    Chemical Engineering Transactions, Vol. 88, pp. 475-480

  3. Kriging-assisted constrained optimization of single-mixed refrigerant natural gas liquefaction process

    Chemical Engineering Science, Vol. 241

2020

  1. Search Space Analysis in Work and Heat Exchange Networks Synthesis using MINLP Models

    Computer Aided Chemical Engineering (Elsevier B.V.), pp. 1393-1398

  2. Synthesis and optimization of work and heat exchange networks using an MINLP model with a reduced number of decision variables

    Applied Energy, Vol. 262