| Sustained micellar delivery via inducible transitions in nanostructure morphology NB Karabin, S Allen, HK Kwon, S Bobbala, E Firlar, T Shokuhfar, KR Shull, ... Nature communications 9 (1), 624, 2018 | 89 | 2018 |
| Self-Assembly of charge-containing copolymers at the liquid–liquid interface F Jiménez-Ángeles, HK Kwon, K Sadman, T Wu, KR Shull, ... ACS Central Science 5 (4), 688-699, 2019 | 56 | 2019 |
| BEEP: A python library for battery evaluation and early prediction P Herring, CB Gopal, M Aykol, JH Montoya, A Anapolsky, PM Attia, ... SoftwareX 11, 100506, 2020 | 51 | 2020 |
| Toward autonomous materials research: Recent progress and future challenges JH Montoya, M Aykol, A Anapolsky, CB Gopal, PK Herring, ... Applied Physics Reviews 9 (1), 2022 | 39 | 2022 |
| Anomalous phase behavior of ionic polymer blends and ionic copolymers VA Pryamitsyn, HK Kwon, JW Zwanikken, M Olvera de La Cruz Macromolecules 50 (13), 5194-5207, 2017 | 36 | 2017 |
| Theoretical analysis of multiple phase coexistence in polyelectrolyte blends HK Kwon, JW Zwanikken, KR Shull, M Olvera de la Cruz Macromolecules 48 (16), 6008-6015, 2015 | 31 | 2015 |
| The materials research platform: defining the requirements from user stories M Aykol, JS Hummelshøj, A Anapolsky, K Aoyagi, MZ Bazant, T Bligaard, ... Matter 1 (6), 1433-1438, 2019 | 26 | 2019 |
| What is missing in autonomous discovery: open challenges for the community PM Maffettone, P Friederich, SG Baird, B Blaiszik, KA Brown, SI Campbell, ... Digital Discovery 2 (6), 1644-1659, 2023 | 22 | 2023 |
| Design of functional and sustainable polymers assisted by artificial intelligence H Tran, R Gurnani, C Kim, G Pilania, HK Kwon, RP Lively, R Ramprasad Nature Reviews Materials, 1-21, 2024 | 20 | 2024 |
| Determining the regimes of dielectric mismatch and ionic correlation effects in ionomer blends HK Kwon, B Ma, M Olvera de la Cruz Macromolecules 52 (2), 535-546, 2019 | 20 | 2019 |
| Solubility and interfacial segregation of salts in ternary polyelectrolyte blends HK Kwon, VA Pryamitsyn, JW Zwanikken, KR Shull, MO De La Cruz Soft Matter 13 (28), 4830-4840, 2017 | 12 | 2017 |
| Early prediction of ion transport properties in solid polymer electrolytes using machine learning and system behavior-based descriptors of molecular dynamics simulations A Khajeh, D Schweigert, SB Torrisi, L Hung, BD Storey, HK Kwon Macromolecules 56 (13), 4787-4799, 2023 | 11 | 2023 |
| Polystyrene-poly (2-ethylhexylmethacrylate) block copolymers: Synthesis, bulk phase behavior, and thin film structure HK Kwon, VE Lopez, RL Davis, SY Kim, AB Burns, RA Register Polymer 55 (8), 2059-2067, 2014 | 11 | 2014 |
| Informatics-driven selection of polymers for fuel-cell applications H Tran, KH Shen, S Shukla, HK Kwon, R Ramprasad The Journal of Physical Chemistry C 127 (2), 977-986, 2023 | 10 | 2023 |
| arXiv preprint A Xie, HK Kwon, D Schweigert, S Gong, A France‐Lanord, A Khajeh, ... | 7 | 2019 |
| De novo design of polymer electrolytes with high conductivity using gpt-based and diffusion-based generative models Z Yang, W Ye, X Lei, D Schweigert, HK Kwon, A Khajeh arXiv preprint arXiv:2312.06470, 2023 | 6 | 2023 |
| In-Situ Characterization of Cathode Catalyst Degradation in PEM Fuel Cells P Schneider, AC Scherzer, L Ney, HK Kwon, BD Storey, D Gerteisen, ... Scientific data 11 (1), 828, 2024 | 5 | 2024 |
| Autonomous laboratories for accelerated materials discovery: a community survey and practical insights L Hung, JA Yager, D Monteverde, D Baiocchi, HK Kwon, S Sun, S Suram Digital Discovery 3 (7), 1273-1279, 2024 | 5 | 2024 |
| A cloud platform for sharing and automated analysis of raw data from high throughput polymer MD simulations T Xie, HK Kwon, D Schweigert, S Gong, A France-Lanord, A Khajeh, ... APL Machine Learning 1 (4), 2023 | 5 | 2023 |
| A self-improvable polymer discovery framework based on conditional generative model A Khajeh, X Lei, W Ye, Z Yang, D Schweigert, HK Kwon arXiv preprint arXiv:2312.04013, 2023 | 4 | 2023 |
