Application of DFT-based machine learning for developing molecular electrode materials in Li-ion batteries O Allam, BW Cho, KC Kim, SS Jang RSC advances 8 (69), 39414-39420, 2018 | 113 | 2018 |
Lead-free halide double perovskites: Toward stable and sustainable optoelectronic devices A Bibi, I Lee, Y Nah, O Allam, H Kim, LN Quan, J Tang, A Walsh, SS Jang, ... Materials Today 49, 123-144, 2021 | 71 | 2021 |
Molecular structure–redox potential relationship for organic electrode materials: density functional theory–Machine learning approach O Allam, R Kuramshin, Z Stoichev, BW Cho, SW Lee, SS Jang Materials Today Energy 17, 100482, 2020 | 38 | 2020 |
Covalent organic frameworks: Design and applications in electrochemical energy storage devices S Jin, O Allam, SS Jang, SW Lee InfoMat 4 (6), e12277, 2022 | 37 | 2022 |
Density Functional Theory–Machine Learning Approach to Analyze the Bandgap of Elemental Halide Perovskites and Ruddlesden‐Popper Phases O Allam, C Holmes, Z Greenberg, KC Kim, SS Jang ChemPhysChem 19 (19), 2559-2565, 2018 | 32 | 2018 |
DFT-Machine Learning Approach for Accurate Prediction of pKa R Lawler, YH Liu, N Majaya, O Allam, H Ju, JY Kim, SS Jang The Journal of Physical Chemistry A 125 (39), 8712-8722, 2021 | 18 | 2021 |
Spectral instability of layered mixed halide perovskites results from anion phase redistribution and selective hole injection Y Nah, O Allam, HS Kim, JI Choi, IS Kim, J Byun, SO Kim, SS Jang, ... ACS nano 15 (1), 1486-1496, 2020 | 18 | 2020 |
Dual-light emitting 3D encryption with printable fluorescent-phosphorescent metal-organic frameworks JW Oh, S Lee, H Han, O Allam, JI Choi, H Lee, W Jiang, J Jang, G Kim, ... Light: Science & Applications 12 (1), 226, 2023 | 14 | 2023 |
Carbon quantum dot modified reduced graphene oxide framework for improved alkali metal ion storage performance S Jin, O Allam, K Lee, J Lim, MJ Lee, SH Loh, SS Jang, SW Lee Small 18 (35), 2202898, 2022 | 13 | 2022 |
Optimal high-throughput virtual screening pipeline for efficient selection of redox-active organic materials HM Woo, O Allam, J Chen, SS Jang, BJ Yoon Iscience 26 (1), 2023 | 2 | 2023 |
Practicality assessment: Temperature-governed performance of CO2-containing Li–O2 batteries FM Mota, O Allam, K Chae, NARC Mohamad, SS Jang, DH Kim Chemical Engineering Journal 449, 137744, 2022 | 2 | 2022 |
Investigating the effect of sidechains on self-assembly of semiconducting polymer using a multiscale modeling approach Z Feng, J Cho, J Chen, O Allam, SS Jang Bulletin of the American Physical Society, 2024 | | 2024 |
First-Principles Investigation of Band-Gap Tuning in 2D Hybrid Organic-Inorganic Perovskites O Allam, Y Nah, I Lee, DH Kim, SS Jang 2023 AIChE Annual Meeting, 2023 | | 2023 |
Molecular Design of Polymer for Solid State Electrolyte Application in Li-Ion Battery: Molecular Modeling Approach O Allam, SS Jang 2023 AIChE Annual Meeting, 2023 | | 2023 |
Accelerating the Discovery of Organic Electrode Materials for Li-Ion Batteries: An Integrated Approach Using DFT, Machine Learning, and High-Throughput Virtual Screening O Allam, SS Jang 2023 AIChE Annual Meeting, 2023 | | 2023 |
Steric Effects in Ruddlesden–Popper Blue Perovskites for High Quantum Efficiency I Lee, O Allam, J Kim, Y Dou, H Ahn, A Proppe, Y Dong, D Ma, LN Quan, ... Advanced Optical Materials 11 (10), 2201824, 2023 | | 2023 |
The selective heating effect of microwave irradiation on a binary mixture of water and polyethylene oxide: a molecular dynamics simulation approach J Chen, MJ Warner, B Sikora, D Kiddle, D Coverdell, O Allam, PA Kohl, ... Physical Chemistry Chemical Physics 25 (17), 12522-12531, 2023 | | 2023 |
Multiscale Simulation of Carbonate-Based Electrolytes for Li-Ion Battery O Allam, SS Jang Electrochemical Society Meeting Abstracts 242, 311-311, 2022 | | 2022 |
Uncovering Molecular Structure–Redox Potential Relationships for Organic Electrode Materials: A Hybrid DFT–Machine Learning Approach O Allam, HM Woo, G Brantley, R Kuramshin, Z Stoichev, BJ Yoon, ... Electrochemical Society Meeting Abstracts 242, 165-165, 2022 | | 2022 |
Artificial Neural Networks for Accurate Prediction and Analysis of Perovskite Bandgaps O Allam, SS Jang, P Gandham 2019 AIChE Annual Meeting, 2019 | | 2019 |