Connecting fuel cell catalyst nanostructure and accessibility using quantitative cryo-STEM tomography E Padgett, N Andrejevic, Z Liu, A Kongkanand, W Gu, K Moriyama, ... Journal of The Electrochemical Society 165 (3), F173, 2018 | 80 | 2018 |

Multicomponent nanomaterials with complex networked architectures from orthogonal degradation and binary metal backfilling in ABC triblock terpolymers CD Cowman, E Padgett, KW Tan, R Hovden, Y Gu, N Andrejevic, D Muller, ... Journal of the American Chemical Society 137 (18), 6026-6033, 2015 | 65 | 2015 |

Quantized thermoelectric Hall effect induces giant power factor in a topological semimetal F Han, N Andrejevic, T Nguyen, V Kozii, QT Nguyen, T Hogan, Z Ding, ... Nature communications 11 (1), 1-7, 2020 | 36* | 2020 |

Direct prediction of phonon density of states with Euclidean neural networks Z Chen, N Andrejevic, T Smidt, Z Ding, Q Xu, YT Chi, QT Nguyen, A Alatas, ... Advanced Science 8 (12), 2004214, 2021 | 32 | 2021 |

Topological singularity induced chiral Kohn anomaly in a Weyl semimetal T Nguyen, F Han, N Andrejevic, R Pablo-Pedro, A Apte, Y Tsurimaki, ... Physical review letters 124 (23), 236401, 2020 | 27 | 2020 |

Machine learning on neutron and x-ray scattering and spectroscopies Z Chen, N Andrejevic, NC Drucker, T Nguyen, RP Xian, T Smidt, Y Wang, ... Chemical Physics Reviews 2 (3), 031301, 2021 | 17 | 2021 |

Theory of electron–phonon–dislon interacting system—toward a quantized theory of dislocations M Li, Y Tsurimaki, Q Meng, N Andrejevic, Y Zhu, GD Mahan, G Chen New Journal of Physics 20 (2), 023010, 2018 | 16 | 2018 |

Machine learning spectral indicators of topology N Andrejevic Machine Learning-Augmented Spectroscopies for Intelligent Materials Design …, 2022 | 8 | 2022 |

Elucidating proximity magnetism through polarized neutron reflectometry and machine learning N Andrejevic, Z Chen, T Nguyen, L Fan, H Heiberger, LJ Zhou, YF Zhao, ... Applied Physics Reviews 9 (1), 011421, 2022 | 6 | 2022 |

Signature of many-body localization of phonons in strongly disordered superlattices T Nguyen, N Andrejevic, HC Po, Q Song, Y Tsurimaki, NC Drucker, ... Nano letters 21 (17), 7419-7425, 2021 | 4 | 2021 |

Topological signatures in nodal semimetals through neutron scattering T Nguyen, Y Tsurimaki, R Pablo-Pedro, G Bednik, T Liu, A Apte, ... New Journal of Physics 24 (1), 013016, 2022 | 2 | 2022 |

Phonon quantum phase transition R Pablo-Pedro, N Andrejevic, Y Tsurimaki, Z Ding, TH Liu, GD Mahan, ... arXiv preprint arXiv:1809.06495, 2018 | 2 | 2018 |

A Hidden Dimension to Explore New Thermoelectrics F Han, N Andrejevic, M Li Joule 2 (1), 16-18, 2018 | 2 | 2018 |

Panoramic mapping of phonon transport from ultrafast electron diffraction and machine learning Z Chen, X Shen, N Andrejevic, T Liu, D Luo, T Nguyen, NC Drucker, ... arXiv preprint arXiv:2202.06199, 2022 | 1 | 2022 |

Machine Learning: Direct Prediction of Phonon Density of States With Euclidean Neural Networks (Adv. Sci. 12/2021) Z Chen, N Andrejevic, T Smidt, Z Ding, Q Xu, YT Chi, QT Nguyen, A Alatas, ... Advanced Science 8 (12), 2170068, 2021 | 1 | 2021 |

Machine learning magnetism classifiers from atomic coordinates HA Merker, H Heiberger, L Nguyen, T Liu, Z Chen, N Andrejevic, ... Iscience 25 (10), 105192, 2022 | | 2022 |

Data-Efficient Learning of Materials’ Vibrational Properties N Andrejevic Machine Learning-Augmented Spectroscopies for Intelligent Materials Design …, 2022 | | 2022 |

Machine Learning-Assisted Parameter Retrieval from Polarized Neutron Reflectometry Measurements N Andrejevic Machine Learning-Augmented Spectroscopies for Intelligent Materials Design …, 2022 | | 2022 |

Machine Learning-Augmented Spectroscopies for Intelligent Materials Design N Andrejevic Massachusetts Institute of Technology, 2022 | | 2022 |

Fluctuation-driven, topology-stabilized order in a correlated nodal semimetal NC Drucker, T Nguyen, F Han, X Luo, N Andrejevic, Z Zhu, G Bednik, ... arXiv preprint arXiv:2103.08489, 2021 | | 2021 |