Víctor D. Fachinotti
- (2023): Automatic generation of high-fidelity representative volume elements and computational homogenization for the determination of thermal conductivity in foamed concretes. In: Materials and Structures, v. 56, n. 10 (3 November 2023).
- (2023): Early-stage analysis of a novel insulation material based on MPCM-doped cementitious foam: Modelling of properties, identification of production process hotspots and exploration of performance trade-offs. In: Developments in the Built Environment, v. 16 (December 2023).
- (2023): Atomistic simulations, meso-scale analyses and experimental validation of thermal properties in ordinary Portland cement and geopolymer pastes. In: Computers & Structures, v. 285 (September 2023).
- (2022): Computational design of a Massive Solar-Thermal Collector enhanced with Phase Change Materials. In: Energy and Buildings, v. 274 (November 2022).
- (2016): Generation of typical meteorological years for the Argentine Littoral Region. In: Energy and Buildings, v. 129 (October 2016).
- (2016): Residential building design optimisation using sensitivity analysis and genetic algorithm. In: Energy and Buildings, v. 133 (December 2016).
- (2017): A computational multi-objective optimization method to improve energy efficiency and thermal comfort in dwellings. In: Energy and Buildings, v. 154 (November 2017).
- (2018): Prediction of wind pressure coefficients on building surfaces using artificial neural networks. In: Energy and Buildings, v. 158 (January 2018).
- (2020): Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review. In: Energy and Buildings, v. 217 (June 2020).
- (2020): An efficient metamodel-based method to carry out multi-objective building performance optimizations. In: Energy and Buildings, v. 206 (January 2020).
- (2015): Inverse finite element modeling of shells using the degenerate solid approach. In: Computers & Structures, v. 157 (September 2015).
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