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Rui Oliveira

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

188

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

A Physics-Informed Neural Network (Pinn) Framework for Generic Bioreactor Modelling

Number of pages: 61 Posted: 14 May 2025
Monesh Kumar, José Pinto, Ekaterina Moskovkina, Rafael S Costa and Rui Oliveira
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, FCT, Universidade Nova de Lisboa and affiliation not provided to SSRN
Downloads 104 (669,616)

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Bioprocess modelling, Physics-informed neural networks, Hybrid semiparametric modelling, Deep artificial neural networks, ADAM algorithm, Fed-batch bioreactor

2.

Bioprocess Control with Physics-Informed Neural Networks: Driving Microbiome Evolution Toward High Polyhydroxyalkanoates Production Capacity

Number of pages: 48 Posted: 07 Aug 2025
Marta Catalão, José Pinto, Cristiana A.V. Torres, Filomena Freitas, Maria A.M. Reis, Rafael S Costa and Rui Oliveira
affiliation not provided to SSRN, affiliation not provided to SSRN, NOVA University Lisbon, NOVA School of Science and Technology, NOVA School of Science and Technology, FCT, Universidade Nova de Lisboa and affiliation not provided to SSRN
Downloads 52 (1,041,696)

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Physics Informed Neural Networks (PINN), Transfer learning, Process Control, Polyhydroxyalkanoates (PHA), Natural microbiomes, Sequencing Batch Reactor (SBR)

3.

Incorporating First-Principles Information into Hybrid Modeling Structures: Comparing Hybrid Semi-Parametric Models with Physics-Informed Recurrent Neural Networks

Number of pages: 15 Posted: 19 Dec 2024
Peter Jul-Rasmussen, Monesh Kumar, José Pinto, Rui Oliveira, Xiaodong Liang and Jakob Huusom
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Technical University of Denmark and Technical University of Denmark
Downloads 32 (1,290,922)

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Hybrid modelingHybrid semi-parametric modelingPhysics-Informed Recurrent Neural NetworksExtrapolation studyAdherence to physics