| impedance. py: A Python package for electrochemical impedance analysis MD Murbach, B Gerwe, N Dawson-Elli, L Tsui Journal of Open Source Software 5 (52), 2349, 2020 | 119 | 2020 |
| Data science approaches for electrochemical engineers: an introduction through surrogate model development for lithium-ion batteries N Dawson-Elli, SB Lee, M Pathak, K Mitra, VR Subramanian Journal of The Electrochemical Society 165 (2), A1, 2018 | 61 | 2018 |
| Excitation emission matrix fluorescence spectroscopy for combustion generated particulate matter source identification JW Rutherford, N Dawson-Elli, AM Manicone, GV Korshin, IV Novosselov, ... Atmospheric environment 220, 117065, 2020 | 24 | 2020 |
| On the creation of a chess-ai-inspired problem-specific optimizer for the pseudo two-dimensional battery model using neural networks N Dawson-Elli, S Kolluri, K Mitra, VR Subramanian Journal of The Electrochemical Society 166 (6), A886, 2019 | 17 | 2019 |
| Systems and methods for direct estimation of battery parameters using only charge/discharge curves Y Qi, S Kolluri, V Subramanian, SY Chen, N Dawson-Elli US Patent 11,462,929, 2022 | 5 | 2022 |
| The Role of Data Science in Numerical Modeling of Lithium Ion Batteries N Dawson-Elli | | 2019 |
| F01 Session 1 JA Staser, D Riemer, N Dawson-Elli AiMES 2018 Meeting (September 30-October 4, 2018), 2018 | | 2018 |
| What Can Electrochemistry Learn from Chess? Using Data Science to Speed up Optimization of Electrochemical Models N Dawson-Elli, S Kolluri, VR Subramanian Electrochemical Society Meeting Abstracts aimes2018, 860-860, 2018 | | 2018 |
| An Analysis of Transient Impedance-like Diagnostic Signals in Batteries L Teo, M Pathak, S Kolluri, N Dawson-Elli, DT Schwartz, VR Subramanian Electrochemical Society Meeting Abstracts aimes2018, 872-872, 2018 | | 2018 |
| (Invited) What Can Electrochemistry Learn from Chess? N Dawson-Elli, K Mitra, VR Subramanian Electrochemical Society Meeting Abstracts aimes2018, 2188-2188, 2018 | | 2018 |
| Is There Room for Theory in Data Science? Encoding Physics into Machine Learning Algorithms N Dawson-Elli, VR Subramanian Electrochemical Society Meeting Abstracts 233, 1325-1325, 2018 | | 2018 |
| Direct Estimation of Parameters from Charge-Discharge Curves of Lithium-Ion Batteries Using Pseudo-2 Dimensional (P2D) Models S Kolluri, N Dawson-Elli, CD Parke, M Pathak, Z Wu, S Santhanagopalan, ... Electrochemical Society Meeting Abstracts 233, 1331-1331, 2018 | | 2018 |
| Using Data Science to Improve Battery Performance: How Data Analytics Can Help Drive Design and Use Decisions N Dawson-Elli, VR Subramanian Electrochemical Society Meeting Abstracts 231, 1138-1138, 2017 | | 2017 |
| Model Based Battery Management Systems (BMS)-from Theory to Commercialization M Pathak, ND Elli, TJ Jang, C Pathak, VR Subramanian Electrochemical Society Meeting Abstracts 230, 1742-1742, 2016 | | 2016 |
| DeepQL: A Query Language for Deep Neural Networks N Dawson-Elli, R Stoddard | | |
