Jacob Terence Blaskovits, PhD, MSc, BSc

Area of Study / Keywords

machine learning artificial intelligence organic electronic materials data-driven chemistry computational chemistry

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About

Education and Training

Postdoctoral fellowship - Max-Planck Institute for Polymer Research (Mainz, Germany)

PhD (Chemistry) - Swiss Federal Institute of Technology / EPFL (Lausanne, Switzerland)

MSc (Chemistry) - Université Laval (Quebec City, Canada) with research stay at Harvard University (Cambridge, USA)

BSc (Chemistry with international profile) - Université Laval (Quebec City, Canada) with mobility semester at Université de Strasbourg (Strasbourg, France)

Awards

An updated list of awards can be found on our group webpage.

Publications

A complete list of publications can be found here.

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Research

Our group focuses on the data-driven design of molecules and materials for energy, optical and catalysis applications. We work at the interface of machine learning (ML), artificial intelligence (AI) and computational chemistry to discover, among other things, carbon-based excitonic materials for organic light-emitting diodes (OLEDs) and organic photovoltaics (OPV).

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Teaching

I teach general chemistry and computational chemistry, and supervise both graduate and undergraduate students. Undergraduate students wishing to undertake research projects in group may enroll through the CHEM 299, 399 and 401/403 courses or as summer students.

CHEM 101 - Introductory University Chemistry I

Atoms and molecules, states of matter, chemistry of the elements. Prerequisite: Chemistry 30, or equivalent.

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CHEM 282 - Atomic and Molecular Structure

An introduction to the quantum view of nature with applications to atomic and molecular structure. Methods to describe the quantum world are introduced, used to describe the electronic structure of simple model systems, and applied to the hydrogen atom, many-electron atoms, simple diatomic molecules, and polyatomic molecules. The laboratory portion of the course consists of applications enriching and illustrating the lecture material, and incorporates the use of computers in predicting experimental results. Prerequisites: CHEM 102 or 105; one 200-level CHEM course; MATH 115 or 136 or 146 or 156; MATH 125; PHYS 124 or 144.

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Browse more courses taught by Jacob Terence Blaskovits

Luca Schaufelberger, J. Terence Blaskovits, Ruben Laplaza, Kjell Jorner, Clemence Corminboeuf

Angewandte Chemie International Edition. 2025 January; 10.1002/anie.202415056

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J. Terence Blaskovits, Ruben Laplaza, Sergi Vela, Clémence Corminboeuf

Advanced Materials. 2024 January; 10.1002/adma.202305602

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J. Terence Blaskovits, Marc H. Garner, Clémence Corminboeuf

Angewandte Chemie International Edition. 2023 April; 10.1002/anie.202218156

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Shubhajit Das, Ruben Laplaza, J. Terence Blaskovits, Clémence Corminboeuf

Angewandte Chemie International Edition. 2022 August; 10.1002/anie.202202727

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Jean-Rémi Pouliot, François Grenier, J. Terence Blaskovits, Serge Beaupré, Mario Leclerc

Chemical Reviews. 2016 November; 10.1021/acs.chemrev.6b00498

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View additional publications