Toward predicting efficiency of organic solar cells via machine learning and improved descriptors H Sahu, W Rao, A Troisi, H Ma Advanced Energy Materials 8 (24), 1801032, 2018 | 191 | 2018 |
Designing promising molecules for organic solar cells via machine learning assisted virtual screening H Sahu, F Yang, X Ye, J Ma, W Fang, H Ma Journal of Materials Chemistry A 7 (29), 17480-17488, 2019 | 97 | 2019 |
Unraveling correlations between molecular properties and device parameters of organic solar cells using machine learning H Sahu, H Ma The journal of physical chemistry letters 10 (22), 7277-7284, 2019 | 79 | 2019 |
Computational investigation of charge injection and transport properties of a series of thiophene–pyrrole based oligo-azomethines H Sahu, AN Panda Physical Chemistry Chemical Physics 16 (18), 8563-8574, 2014 | 72 | 2014 |
Computational study on the effect of substituents on the structural and electronic properties of thiophene–pyrrole-based π-conjugated oligomers H Sahu, AN Panda Macromolecules 46 (3), 844-855, 2013 | 42 | 2013 |
PolyG2G: A novel machine learning algorithm applied to the generative design of polymer dielectrics R Gurnani, D Kamal, H Tran, H Sahu, K Scharm, U Ashraf, R Ramprasad Chemistry of Materials 33 (17), 7008-7016, 2021 | 38 | 2021 |
Structure and optoelectronic properties of helical pyridine–furan, pyridine–pyrrole and pyridine–thiophene oligomers H Sahu, S Gupta, P Gaur, AN Panda Phys. Chem. Chem. Phys. 17, 20647, 2015 | 25 | 2015 |
Dielectric polymers tolerant to electric field and temperature extremes: integration of phenomenology, informatics, and experimental validation C Wu, L Chen, A Deshmukh, D Kamal, Z Li, P Shetty, J Zhou, H Sahu, ... ACS Applied Materials & Interfaces 13 (45), 53416-53424, 2021 | 23 | 2021 |
Polymer Structure Predictor (PSP): A Python Toolkit for Predicting Atomic-Level Structural Models for a Range of Polymer Geometries H Sahu, KH Shen, JH Montoya, H Tran, R Ramprasad J. Chem. Theory Comput., 2022 | 15 | 2022 |
An informatics approach for designing conducting polymers H Sahu, H Li, L Chen, AC Rajan, C Kim, N Stingelin, R Ramprasad ACS applied materials & interfaces 13 (45), 53314-53322, 2021 | 15 | 2021 |
Low-temperature 3D printing of transparent silica glass microstructures M Li, L Yue, AC Rajan, L Yu, H Sahu, SM Montgomery, R Ramprasad, ... Sci. Adv. 9, eadi2958, 2023 | 13 | 2023 |
Interpretable Machine Learning for developing high-performance Organic Solar Cells EAJ Abadi, H Sahu, SM Javadpour, M Goharimanesh Materials Today Energy, 100969, 2022 | 11 | 2022 |
Helical and Nonhelical Structures of Vinylene-and Azomethine-Linked Heterocyclic Oligomers: A Computational Study of Conformation-Dependent Optoelectronic Properties H Sahu, AN Panda The Journal of Physical Chemistry C 119 (40), 22855-22865, 2015 | 9 | 2015 |
Alternating phenylene and furan/pyrrole/thiophene units-based oligomers: A computational study of the structures and optoelectronic properties H Sahu, R Shukla, J Goswami, P Gaur, AN Panda Chemical Physics Letters 692, 152-159, 2018 | 5 | 2018 |
Predicting velocimetry curves from Photonic Doppler Velocimetry (PDV) signals using neural networks K Frawley, H Sahu, N Thadhani, R Ramprasad APS Shock Compression of Condensed Matter Meeting Abstracts, G00. 020, 2022 | 1 | 2022 |
Informatics-Driven Design of Superhard B–C–O Compounds M Mukherjee, H Sahu, MD Losego, WR Gutekunst, R Ramprasad ACS Applied Materials & Interfaces 16 (8), 10372-10379, 2024 | | 2024 |
Design of Metals and Alloys with High Spall Strengths K Frawley, H Sahu, R Ramprasad, N Thadhani Bulletin of the American Physical Society 68, 2023 | | 2023 |
An Autonomous Computational Workflow for Efficient Generation of Polymer Data H Tran, H Sahu, BG Del Rio, D Kamal, C Kim, R Ramprasad 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
In silico investigation of optical and electronic properties of heterocyclic conjugated polymers H Sahu Guwahati, 2016 | | 2016 |
Surfactant mediated synthesis and characterization of Boehmite nanowires H Sahu | | 2011 |