Dinis O. Abranches

Assistant Researcher

Contact

Department

  • Chemistry

Research

Links

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

Kiki Adi Kurnia

Post-Doc Fellowship

Projects

Publications

Structural and Dynamic Heterogeneity of Deep Eutectic Solvents Composed of Choline Chloride and Ortho-Phenol Derivatives

D. Poe, D. O. Abranches, X. Wang, J. Klein, W. Dean, B. B. Hansen, B. Doherty, C. Fraenza, B. Gurkan, J. R. Sangoro, M. Tuckerman, S. G. Greenbaum, E. J. Maginn
2025, The Journal of Physical Chemistry B.

Understanding Redox Organic Behavior in Deep Eutectic Solvents: Considerations for Molecular Design

N. S. Sinclair, D. O. Abranches, R. F. Savinell, E. J. Maginn, J. S. Wainright
2025, Journal of The Electrochemical Society.

Extraction and separation of pigments from Saccharina latissima using eutectic solvents

Kholany, M; Reynaga-Navarro, W; Abranches, DO; Wijffels, R; Coutinho, JAP; Ventura, SPM; Kazbar, A
2025, SEPARATION AND PURIFICATION TECHNOLOGY, 357.
ISBN: 1873-3794

Good vibrations: understanding deep eutectic solvents through the lens of vibrational spectroscopy

Araújo, CF; Abranches, DO; Coutinho, JAP; Vaz, PD; Ribeiro-Claro, P; Nolasco, MM
2025, APPLIED SPECTROSCOPY REVIEWS, 60, 2, 137-192.
ISBN: 1520-569X

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

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.

We use cookies for marketing activities and to offer you a better experience. By clicking “Accept Cookies” you agree with our cookie policy. Read about how we use cookies by clicking "Privacy and Cookie Policy".


Privacy and Cookie Policy

Personal data

CICECO-Aveiro Institute of Materials respects your privacy, ensuring confidentiality of personal data you share with the institution through this way, not collecting any personal information about you without your consent, under the terms required by General Data Protection Regulations (RGPD).

The data collected in forms are intended exclusively for processing user requests and will not be used for any other purpose, always safeguarding their confidentiality, under the terms of the protection conferred by the aforementioned regulation.

The collection and processing of data is the responsibility of CICECO and its storage is properly protected, only authorized CICECO employees can access the information within the scope of their functions, always being clear in the respective collection forms the purposes for which they are intended. The remaining issues to be considered in this matter will be handled by the University of Aveiro in accordance with the regime established by the GDPR.

Cookies policy

Cookies are small files with alphanumeric information that are stored on your computer's hard drive by your browser and are intended to improve the user experience and enhance website navigation.

Collection and use of technical information

The cookies used on CICECO are anonymous, and no information about our users that allows their personal identification is stored in them.

The technical information recorded consists of:

  • iP (Internet Protocol) address of the visitor;
  • the type of internet browser used by the website visitor and the respective operating system used;
  • the date and time of the consultation;
  • the pages visited on the site and the documents downloaded
  • The technical information collected is used for statistical purposes only.

Cookies used

Session cookies

These cookies are used to record user preferences, such as the language in which websites are displayed or to maintain authenticated user sessions, and are automatically deleted when the browser is closed.

Persistent cookies

These cookies store information that is needed between sessions. For example, a persistent cookie is set to record that you have been made aware of the cookie policy so that the message regarding this policy is not shown again the next time you visit the website. This cookie remains on the computer until it reaches its expiry date or is deleted by the user.

Data protection

The present privacy policy covers the Information System of the University of Aveiro (SIUA), governed by the General Data Protection Regulations (RGPD) Regulation (EU) No. 2016/679, of April 27th, 2016.

Data Protection Officer

The University of Aveiro has a Data Protection Officer (DPO), who ensures compliance of the processing of personal data with the legislation in force, and is available through the following email address epd@ua.pt.

Close