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Kevin Maik Jablonka

Research group leader

Friedrich Schiller University Jena

Germany

Research Interests

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Professors in Germany Professors in Materials Science Materials Science professors in Germany

Articles (20)

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2026

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2024

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2024

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2023

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2023

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2023

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2023

Collaborators (19)

Jiale Shi

Assistant Professor

University of Toledo

UNITED STATES

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Andrew Rosen

Assistant Professor

Princeton University

UNITED STATES

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Igor Tetko

Group Leaderr

Helmholtz Zentrum München Deutsches Forschungszentrum für Umwelt und Gesundheit

GERMANY

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Tanja Junkers

Professor

MONASH UNIVERSITY

AUSTRALIA

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María Victoria Gil

Agencia Estatal Consejo Superior de Investigaciones Científicas

SPAIN

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Ben Blaiszik

University of Chicago

UNITED STATES

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Timo Gehring

Professor of Bio and Environmental Process Engineering

Hochschule für Technik und Wirtschaft

GERMANY

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Andy Sode Anker

Tenure Track Assistant Professor

Technical University of Denmark

DENMARK

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Elena Simone

Docenti di ruolo di IIa fascia

Politecnico di Torino

ITALY

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Kjell Jorner

Assistant Professor of Digital Chemistry

ETH Zürich

SWITZERLAND

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Andrea Volkamer

Professor

Saarland University

GERMANY

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Luc Patiny

Head of chemical information service

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

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Jin-Yu Wang

Heriot-Watt University

UNITED KINGDOM

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Amir Mohammad Elahi

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

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Seyed Mohamad Moosavi

Assistant Professor

University of Toronto

CANADA

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Joshua Bocarsly

Assistant Welch Professor

University of Houston

UNITED STATES

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Berend Smit

Professor

École Polytechnique Fédérale de Lausanne

SWITZERLAND

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Susana Garcia

Heriot-Watt University

UNITED KINGDOM

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Xiaoqi Zhang

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

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Kevin Maik Jablonka

Research Interests

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Articles (20)

Consensus Prediction of Chemical Reactions with OCHEM-R Platform

End-to-end multimodal structure elucidation from raw spectra combining contrastive learning and evolutionary algorithms

Less can be more for predicting properties with large language models

General-Purpose Models for the Chemical Sciences: LLMs and Beyond

Clever materials: when models identify good materials for the wrong reasons

Assessment of fine-tuned large language models for real-world chemistry and material science applications

MOFChecker: a package for validating and correcting metal–organic framework (MOF) structures

From text to insight: large language models for chemical data extraction

Perspective on artificial intelligence for accelerated materials design (AI4Mat) workshops in 2024

Lessons from the trenches on evaluating machine learning systems in materials science

Author Correction: Probing the limitations of multimodal language models for chemistry and materials research

Real AI advances require collaboration

Probing the limitations of multimodal language models for chemistry and materials research

A holistic platform for accelerating sorbent-based carbon capture

Chemical education in digital chemistry

Deep learning-based recommendation system for metal–organic frameworks (MOFs)

In Search of Covalent Organic Framework Photocatalysts: A DFT‐Based Screening Approach

An Ecosystem for Digital Reticular Chemistry

Machine learning for industrial processes: Forecasting amine emissions from a carbon capture plant

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

Collaborators (19)

Jiale Shi

Andrew Rosen

Igor Tetko

Tanja Junkers

María Victoria Gil

Ben Blaiszik

Timo Gehring

Andy Sode Anker

Elena Simone

Kjell Jorner

Andrea Volkamer

Luc Patiny

Jin-Yu Wang

Amir Mohammad Elahi

Seyed Mohamad Moosavi

Joshua Bocarsly

Berend Smit

Susana Garcia

Xiaoqi Zhang

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