Ultralow frequency electrochemical–mechanical strain energy harvester using 2D black phosphorus nanosheets N Muralidharan, M Li, RE Carter, N Galioto, CL Pint ACS Energy Letters 2 (8), 1797-1803, 2017 | 68 | 2017 |
Bayesian system ID: optimal management of parameter, model, and measurement uncertainty N Galioto, AA Gorodetsky Nonlinear Dynamics 102 (1), 241-267, 2020 | 33 | 2020 |
From the junkyard to the power grid: ambient processing of scrap metals into nanostructured electrodes for ultrafast rechargeable batteries N Muralidharan, AS Westover, H Sun, N Galioto, RE Carter, AP Cohn, ... Acs Energy Letters 1 (5), 1034-1041, 2016 | 12 | 2016 |
Bayesian identification of Hamiltonian dynamics from symplectic data N Galioto, AA Gorodetsky 2020 59th IEEE Conference on Decision and Control (CDC), 1190-1195, 2020 | 10 | 2020 |
A new objective for identification of partially observed linear time-invariant dynamical systems from input-output data N Galioto, AA Gorodetsky Learning for Dynamics and Control, 1180-1191, 2021 | 4 | 2021 |
Likelihood-based generalization of Markov parameter estimation and multiple shooting objectives in system identification N Galioto, AA Gorodetsky Physica D: Nonlinear Phenomena 462, 134146, 2024 | 3* | 2024 |
Bayesian identification of nonseparable hamiltonian systems using stochastic dynamic models H Sharma, N Galioto, AA Gorodetsky, B Kramer 2022 IEEE 61st Conference on Decision and Control (CDC), 6742-6749, 2022 | 2 | 2022 |
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling N Galioto, H Sharma, B Kramer, AA Gorodetsky arXiv preprint arXiv:2401.12476, 2024 | | 2024 |
Generalization of System Identification Objective Functions Through Stochastic Hidden Markov Models for Regularization, Smoothness, and Uncertainty Quantification N Galioto | | 2023 |
From the Junkyard to the Power Grid: Ambient Processing of Scrap Metals into Nanostructured Electrodes for Ultrafast Rechargeable Batteries AS Westover, N Muralidharan, H Sun, N Galioto, RE Carter, AP Cohn, ... DOCTOR OF PHILOSOPHY in Interdisciplinary Materials Science and Engineering …, 2016 | | 2016 |
METHODS AND APPROACHES TO BENCHMARK DATA-DRIVEN MODELING IN THE SPARSE AND NOISY DATA REGIMES A Gorodetsky, N Galioto | | |