Dinis O. Abranches

Assistant Researcher

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Department

  • Chemistry
  • 29.3.26

Research

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Latest News

Summary

Dinis O. Abranches is an Assistant Researcher in Chemical Engineering at the University of Aveiro, Portugal. His research focuses on leveraging artificial intelligence, thermodynamics, and computational simulations to predict physicochemical phenomena, understand non-covalent interactions, and design novel sustainable materials. He has a particular interest in green solvents, including deep eutectic solvents, hydrotropes, and ionic liquids.

Dinis earned his MSc (2023, GPA 4.0/4.0) and PhD (2024, GPA 4.0/4.0) in Chemical Engineering from the University of Notre Dame, USA, where he received multiple awards for outstanding academic achievement. Prior to this, he completed his BSc (2018, GPA 19/20) and MSc (2020, GPA 19/20) in Chemical Engineering at the University of Aveiro, Portugal.

Ongoing Supervisions

Gabriel Lamino Camilo

PhD Student

Rafael Alexandre Farinha Serrano

PhD Student

Projects

Publications

Open-source generation of sigma profiles: impact of quantum chemistry and solvation treatment on machine learning performance

Salih, FYM; Abranches, DO; Maginn, EJ; Colón, YJ
2025, DIGITAL DISCOVERY, 4, 10.

Stochastic machine learning via sigma profiles to build a digital chemical space

Abranches, DO; Maginn, EJ; Colón, YJ
2024, Proceedings of the National Academy of Sciences of the United States of America, 121, 31.

Combining High Throughput Experiments and Active Learning to Characterize Deep Eutectic Solvents

D. O. Abranches, W. Dean, M. Muñoz, W. Wang, Y. Liang, B. Gurkan, E. J. Maginn, Y. J. Colón
2024, ACS Sustainable Chemistry & Engineering.

Tetraalkylammonium Chlorides as Melting Point Depressants of Ionic Liquids

Martins, MAR; Abranches, DO; Silva, LP; Pinho, SP; Coutinho, JAP
2024, JOURNAL OF SOLUTION CHEMISTRY, 53, 4, 538-551.
ISBN: 1572-8927

Using Molecular Conformers in COSMO-RS to Predict Drug Solubility in Mixed Solvents

Cordova, IW; Teixeira, G; Ribeiro-Claro, PJA; Abranches, DO; Pinho, SP; Ferreira, O; Coutinho, JAP
2024, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 63, 21, 9565-9575.
ISBN: 1520-5045

Role of Deep Eutectic Solvent Precursors as Hydrotropes: Unveiling Synergism/Antagonism for Enhanced Kraft Lignin Dissolution

Sosa, FHB; Abranches, DO; Lopes, AMD; da Costa, MC; Coutinho, JAP
2024, ACS SUSTAINABLE CHEMISTRY & ENGINEERING, 12, 23, 8930-8940.

Designing type V deep eutectic solvents with antimalarial pharmaceutical ingredients

Teixeira, G; Brandao, P; Ferreira, AIMCL; Abranches, DO; Santos, LMNBF; Ferreira, O; Coutinho, JAP
2024, EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS, 203.
ISBN: 1873-3441

What is better to enhance the solubility of hydrophobic compounds in aqueous solutions: eutectic solvents or ionic liquids?

Ferreira, O; Silva, LP; Almeida, HHS; Benfica, J; Abranches, DO; Pinho, SP; Coutinho, JAP
2024, RSC SUSTAINABILITY, 2, 12, 4052-4060.
ISBN: 2753-8125

Assessing Melting and Solid-Solid Transition Properties of Choline Chloride via Molecular Dynamics Simulations

Correa, GB; Abranches, DO; Marin-Rimoldi, E; Zhang, Y; Maginn, EJ; Tavares, FW
2024, JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 15, 47, 11801-11805.

The path towards type V deep eutectic solvents: inductive effects and steric hindrance in the system tert-butanol plus perfluoro tert-butanol

Vaz, ICM; Ferreira, AIMCL; Silva, GMC; Morgado, P; Abranches, DO; Bastos, M; Santos, LMNBF; Filipe, EJM; Coutinho, JAP
2023, PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 25, 16, 11227-11236.

Thermodynamics-Informed Machine Learning for the Design of Sustainable Materials: The Dawn of Digital Molecular Discovery

Abranches, DO
2024, supervised by Maginn, EJ; Colón, YJ.

Unveiling the Mechanism of Hydrotropy: Towards a Sustainable Future

Abranches, DO
2020, supervised by Coutinho, JAP; Shimizu, S.

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