astronomy

Mati Karelson

Mati Karelson is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Mati Karelson rather than just read about it. In short: Mati Karelson (born 27 December 1948) is an Estonian chemist and academic whose work has centred on theoretical and computational chemistry, especially quantitative structure–activity and structure–property relationships (QSAR/QSPR), molecular descriptors, molecular design and the use of artificial intelligence in chemistry. He is a professor emeritus at the University of Tartu, was elected a member of the Estonian…

Key takeaways

Mati Karelson belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
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Reproduce the core statement of Mati Karelson from memory before moving on to harder problems.

Reference excerpt

Mati Karelson (born 27 December 1948) is an Estonian chemist and academic whose work has centred on theoretical and computational chemistry, especially quantitative structure–activity and structure–property relationships (QSAR/QSPR), molecular descriptors, molecular design and the use of artificial intelligence in chemistry. He is a professor emeritus at the University of Tartu, was elected a member of the Estonian Academy of Sciences in 2007, and served as research and development adviser to the Prime Minister of Estonia from 2005 to 2014.

Early life and education Karelson was born in Tartu. He graduated from Tartu 5th Secondary School in 1967 and from the University of Tartu in 1972, specialising in organic chemistry. In 1975 he earned the degree of Candidate of Sciences in chemistry at the University of Tartu with a dissertation on the applicability of electrostatic models in organic chemistry.

Career After graduating, Karelson worked from 1972 to 1975 in the chair of organic chemistry at the University of Tartu. From 1975 to 1992, he was associated with the university's laboratory of chemical kinetics and catalysis, becoming head of the laboratory in 1988. In 1992, he became professor of theoretical chemistry at the university; from 1999 to 2002, he was director of the University of Tartu Technology Centre; and from 2005 to 2021, he was professor of molecular technology before becoming professor emeritus. From 2004 to 2014, he also held a professorship in molecular technology at Tallinn University of Technology. Karelson has held visiting research and teaching appointments at the University of Florida, the University of London, the University of Oxford, Kiel University and the Max Planck Institute for Astrophysics. In public policy, he served as research and development adviser to the Prime Minister of Estonia from 2005 to 2014 and was a member of the President's think tank from 2007 to 2012. He was elected a member of the Estonian Academy of Sciences in 2007 in the field of natural sciences and medicine.

Research Karelson's research has included quantum theory of condensed and disordered media, modelling of chemical reactivity, QSAR/QSPR, heterocyclic chemistry, technological-property modelling, molecular technology and artificial intelligence in chemistry. He has been particularly associated with the development of computer systems based on molecular descriptors for predicting the properties of chemical compounds and materials. In an international evaluation of Estonian chemistry published in 2001, his work was described as theoretically based but oriented towards practical applications, and his research group was included among the leading Estonian chemistry groups with strong international collaboration. Later assessments likewise emphasised the broader influence of his research. In a history of Estonia's centres of excellence published by the Estonian Research Council, the molecular-design team led by Karelson and Uko Maran was described as providing theoretical models used by multiple other research teams to identify chemical targets for experimental work. Karelson is the author of the English-language monograph Molecular Descriptors in QSAR/QSPR (2000), a survey of theoretical molecular descriptors and their use in QSPR and QSAR modelling. The book was reviewed by Hugo Kubinyi in Angewandte Chemie International Edition in 2001. With Viktor S. Lobanov and Alan R. Katritzky, he also co-authored the review article "Quantum-Chemical Descriptors in QSAR/QSPR Studies" in Chemical Reviews in 1996.

Honours Karelson received an Estonian national science award in 2001. In 2006 he was awarded the Order of the White Star, 3rd Class. He received the University of Tartu Medal in 2008, became an honorary citizen of Tartu in the same year, and was awarded the Wilhelm Ostwald Medal in 2014. The University of Tartu awarded him its Grand Medal in 2018 and the decoration "100 Semesters at the University of Tartu" in 2020.

Selected publications Karelson, Mati; Lobanov, Victor S.; Katritzky, Alan R. (9 May 1996). "Quantum-Chemical Descriptors in QSAR/QSPR Studies". Chemical Reviews. 96 (3): 1027–1044. doi:10.1021/cr950202r. PMID 11848779. Karelson, Mati (2000). Molecular Descriptors in QSAR/QSPR. New York: Wiley-Interscience. ISBN 978-0-471-35168-9. Katritzky, Alan R.; Kuanar, Minati; Slavov, Svetoslav; Hall, Christopher D.; Karelson, Mati; Kahn, Iiris; Dobchev, Dimitar A. (2010). "Quantitative Correlations of Physical and Chemical Properties with Chemical Structure; Utility for Prediction". Chemical Reviews. 110 (10): 5714–5789. doi:10.1021/cr900238d. Karelson, Mati; Tõldsepp, Aarne (2011). Keemia. Üldine ja orgaaniline keemia gümnaasiumile. Tallinn: Koolibri.

References

Illustrations

Worked examples

Example 1 — a first encounter with Mati Karelson

Start with the simplest possible case. Write down what Mati Karelson claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Mati Karelson before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Mati Karelson ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Mati Karelson

In research: Mati Karelson appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Mati Karelson in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Mati Karelson is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1948 births, Academic staff of the Tallinn University of Technology, Academic staff of the University of Tartu, so understanding it makes those chapters shorter.
In everyday life: Look for Mati Karelson outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Mati Karelson in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Mati Karelson means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
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Frequently asked questions

What is Mati Karelson in simple terms?

Why does Mati Karelson matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Mati Karelson?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Mati Karelson.