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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
3662020
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
KM Jablonka, D Ongari, SM Moosavi, B Smit
Chemical Reviews, 2020
3452020
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
2312020
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
1122021
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
862022
Leveraging Large Language Models for Predictive Chemistry
KM Jablonka, P Schwaller, A Ortega-Guerrero, B Smit
60*2023
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
592020
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
532021
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
52*2021
Making the collective knowledge of chemistry open and machine actionable
KM Jablonka, L Patiny, B Smit
Nature Chemistry 14 (4), 365-376, 2022
512022
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
392023
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
322019
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
192021
Making molecules vibrate: Interactive web environment for the teaching of infrared spectroscopy
KM Jablonka, L Patiny, B Smit
Journal of Chemical Education 99 (2), 561-569, 2022
162022
An ecosystem for digital reticular chemistry
KM Jablonka, AS Rosen, AS Krishnapriyan, B Smit
ACS Central Science 9 (4), 563-581, 2023
152023
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
132023
xtal2png: A Python package for representing crystal structure as PNG files
SG Baird, KM Jablonka, MD Alverson, HM Sayeed, MF Khan, ...
Journal of Open Source Software 7 (76), 4528, 2022
92022
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
92022
Data-driven matching of experimental crystal structures and gas adsorption isotherms of Metal–Organic frameworks
D Ongari, L Talirz, KM Jablonka, DW Siderius, B Smit
Journal of Chemical & Engineering Data 67 (7), 1743-1756, 2022
92022
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
82023
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Articles 1–20