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Kevin Maik Jablonka
Kevin Maik Jablonka
Other namesKevin M Jablonka, Kevin Jablonka
FSU Jena & HIPOLE Jena
Verified email at uni-jena.de - Homepage
Title
Cited by
Cited by
Year
Understanding the diversity of the metal-organic framework ecosystem
SM Moosavi, A Nandy, KM Jablonka, D Ongari, JP Janet, PG Boyd, Y Lee, ...
Nature Communications 11 (1), 1-10, 2020
5112020
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
KM Jablonka, D Ongari, SM Moosavi, B Smit
Chemical Reviews, 2020
4672020
The Role of Machine Learning in the Understanding and Design of Materials
SM Moosavi, KM Jablonka, B Smit
Journal of the American Chemical Society 142 (48), 20273-20287, 2020
3212020
Leveraging large language models for predictive chemistry
KM Jablonka, P Schwaller, A Ortega-Guerrero, B Smit
Nature Machine Intelligence 6 (2), 161-169, 2024
254*2024
Bias free multiobjective active learning for materials design and discovery
KM Jablonka, GM Jothiappan, S Wang, B Smit, B Yoo
Nature communications 12 (1), 2312, 2021
1642021
SELFIES and the future of molecular string representations
M Krenn, Q Ai, S Barthel, N Carson, A Frei, NC Frey, P Friederich, ...
Patterns 3 (10), 2022
1622022
14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
KM Jablonka, Q Ai, A Al-Feghali, S Badhwar, JD Bocarsly, AM Bran, ...
Digital Discovery 2 (5), 1233-1250, 2023
1372023
Diversifying databases of metal organic frameworks for high-throughput computational screening
S Majumdar, SM Moosavi, KM Jablonka, D Ongari, B Smit
ACS applied materials & interfaces 13 (51), 61004-61014, 2021
882021
Charge Separation and Charge Carrier Mobility in Photocatalytic Metal‐Organic Frameworks
M Fumanal, A Ortega‐Guerrero, KM Jablonka, B Smit, I Tavernelli
Advanced Functional Materials 30 (49), 2003792, 2020
782020
Making the collective knowledge of chemistry open and machine actionable
KM Jablonka, L Patiny, B Smit
Nature Chemistry 14 (4), 365-376, 2022
772022
Using collective knowledge to assign oxidation states of metal cations in metal–organic frameworks
KM Jablonka, D Ongari, SM Moosavi, B Smit
Nature Chemistry 13 (8), 771-777, 2021
672021
Applicability of Tail Corrections in the Molecular Simulations of Porous Materials
KM Jablonka, D Ongari, B Smit
Journal of chemical theory and computation 15 (10), 5635-5641, 2019
452019
A holistic platform for accelerating sorbent-based carbon capture
C Charalambous, E Moubarak, J Schilling, E Sanchez Fernandez, ...
Nature 632 (8023), 89-94, 2024
38*2024
An ecosystem for digital reticular chemistry
KM Jablonka, AS Rosen, AS Krishnapriyan, B Smit
ACS Central Science 9 (4), 563-581, 2023
362023
Are large language models superhuman chemists?
A Mirza, N Alampara, S Kunchapu, M Ríos-García, B Emoekabu, ...
arXiv preprint arXiv:2404.01475, 2024
352024
Machine learning for industrial processes: Forecasting amine emissions from a carbon capture plant
KM Jablonka, C Charalambous, E Sanchez Fernandez, G Wiechers, ...
Science Advances 9 (1), eadc9576, 2023
27*2023
A data-driven perspective on the colours of metal–organic frameworks
KM Jablonka, SM Moosavi, M Asgari, C Ireland, L Patiny, B Smit
Chemical Science 12 (10), 3587-3598, 2021
242021
In Search of Covalent Organic Framework Photocatalysts: A DFT‐Based Screening Approach
B Mourino, KM Jablonka, A Ortega‐Guerrero, B Smit
Advanced Functional Materials 33 (32), 2301594, 2023
222023
Using genetic algorithms to systematically improve the synthesis conditions of Al-PMOF
NP Domingues, SM Moosavi, L Talirz, KM Jablonka, CP Ireland, ...
Communications Chemistry 5 (1), 170, 2022
212022
Characterization of Chemisorbed Species and Active Adsorption Sites in Mg–Al Mixed Metal Oxides for High-Temperature CO2 Capture
A Lund, GV Manohara, AY Song, KM Jablonka, CP Ireland, LA Cheah, ...
Chemistry of Materials 34 (9), 3893-3901, 2022
202022
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Articles 1–20