| Data-driven materials research enabled by natural language processing and information extraction EA Olivetti, JM Cole, E Kim, O Kononova, G Ceder, TYJ Han, ... Applied Physics Reviews 7 (4), 2020 | 210 | 2020 |
| Reliable and explainable machine-learning methods for accelerated material discovery B Kailkhura, B Gallagher, S Kim, A Hiszpanski, TYJ Han npj Computational Materials 5 (1), 108, 2019 | 144 | 2019 |
| Using self-organization to control morphology in molecular photovoltaics SJ Kang, S Ahn, JB Kim, C Schenck, AM Hiszpanski, S Oh, T Schiros, ... Journal of the American Chemical Society 135 (6), 2207-2212, 2013 | 136 | 2013 |
| Tuning polymorphism and orientation in organic semiconductor thin films via post-deposition processing AM Hiszpanski, RM Baur, B Kim, NJ Tremblay, C Nuckolls, AR Woll, ... Journal of the American Chemical Society 136 (44), 15749-15756, 2014 | 116 | 2014 |
| Explainable machine learning in materials science X Zhong, B Gallagher, S Liu, B Kailkhura, A Hiszpanski, TYJ Han npj computational materials 8 (1), 204, 2022 | 90 | 2022 |
| Directing the film structure of organic semiconductors via post-deposition processing for transistor and solar cell applications AM Hiszpanski, YL Loo Energy & Environmental Science 7 (2), 592-608, 2014 | 87 | 2014 |
| Nanomaterial synthesis insights from machine learning of scientific articles by extracting, structuring, and visualizing knowledge AM Hiszpanski, B Gallagher, K Chellappan, P Li, S Liu, H Kim, J Han, ... Journal of chemical information and modeling 60 (6), 2876-2887, 2020 | 65 | 2020 |
| Halogenation of a nonplanar molecular semiconductor to tune energy levels and bandgaps for electron transport AM Hiszpanski, JD Saathoff, L Shaw, H Wang, L Kraya, F Lüttich, ... Chemistry of materials 27 (5), 1892-1900, 2015 | 58 | 2015 |
| Post-deposition processing methods to induce preferential orientation in contorted hexabenzocoronene thin films AM Hiszpanski, SS Lee, H Wang, AR Woll, C Nuckolls, YL Loo ACS nano 7 (1), 294-300, 2013 | 53 | 2013 |
| Unusual molecular conformations in fluorinated, contorted hexabenzocoronenes YL Loo, AM Hiszpanski, B Kim, S Wei, CY Chiu, ML Steigerwald, ... Organic letters 12 (21), 4840-4843, 2010 | 50 | 2010 |
| Predicting compressive strength of consolidated molecular solids using computer vision and deep learning B Gallagher, M Rever, D Loveland, TN Mundhenk, B Beauchamp, ... Materials & Design 190, 108541, 2020 | 43 | 2020 |
| Metal nanocluster light-emitting devices with suppressed parasitic emission and improved efficiency: exploring the impact of photophysical properties TW Koh, AM Hiszpanski, M Sezen, A Naim, T Galfsky, A Trivedi, YL Loo, ... Nanoscale 7 (20), 9140-9146, 2015 | 43 | 2015 |
| The Diffraction Pattern Calculator (DPC) toolkit: a user-friendly approach to unit-cell lattice parameter identification of two-dimensional grazing-incidence wide-angle X-ray … AK Hailey, AM Hiszpanski, DM Smilgies, YL Loo Journal of Applied Crystallography 47 (6), 2090-2099, 2014 | 43 | 2014 |
| Isoindigo-containing molecular semiconductors: effect of backbone extension on molecular organization and organic solar cell performance Y Ren, AK Hailey, AM Hiszpanski, YL Loo Chemistry of Materials 26 (22), 6570-6577, 2014 | 40 | 2014 |
| Predicting energetics materials’ crystalline density from chemical structure by machine learning P Nguyen, D Loveland, JT Kim, P Karande, AM Hiszpanski, TYJ Han Journal of Chemical Information and Modeling 61 (5), 2147-2158, 2021 | 36 | 2021 |
| Structure–property relationship study of substitution effects on isoindigo-based model compounds as electron donors in organic solar cells Y Ren, AM Hiszpanski, L Whittaker-Brooks, YL Loo ACS Applied Materials & Interfaces 6 (16), 14533-14542, 2014 | 29 | 2014 |
| Colloidal quantum dot based infrared detectors: extending to the mid-infrared and moving from the lab to the field T Nakotte, SG Munyan, JW Murphy, SA Hawks, SY Kang, J Han, ... Journal of Materials Chemistry C 10 (3), 790-804, 2022 | 28 | 2022 |
| Design Rules for Tailoring Antireflection Properties of Hierarchical Optical Structures JJ Diaz Leon, AM Hiszpanski, TC Bond, JD Kuntz Advanced Optical Materials 5 (13), 1700080, 2017 | 25 | 2017 |
| Representing polymers as periodic graphs with learned descriptors for accurate polymer property predictions ER Antoniuk, P Li, B Kailkhura, AM Hiszpanski Journal of Chemical Information and Modeling 62 (22), 5435-5445, 2022 | 24 | 2022 |
| andT. Y X Zhong, B Gallagher, S Liu, B Kailkhura, A Hiszpanski J. Han,“Explainable machine learning in materials science,” npj …, 2022 | 20 | 2022 |
