Nina Andrejevic
Nina Andrejevic
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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-F180, 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
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), 6167, 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
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
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
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
Machine‐Learning Spectral Indicators of Topology
N Andrejevic, J Andrejevic, BA Bernevig, N Regnault, F Han, G Fabbris, ...
Advanced Materials 34 (49), 2204113, 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
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
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
Phonon quantum phase transition
R Pablo-Pedro, N Andrejevic, Y Tsurimaki, Z Ding, TH Liu, GD Mahan, ...
arXiv preprint arXiv:1809.06495, 2018
A Hidden Dimension to Explore New Thermoelectrics
F Han, N Andrejevic, M Li
Joule 2 (1), 16-18, 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
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
Data-driven discovery of dynamics from time-resolved coherent X-ray scattering
N Andrejevic, M Cherukara, M Chan, T Zhou, Q Zhang, S Narayanan
Bulletin of the American Physical Society, 2023
Magnetic field-controlled phonon softening in topological semimetal Co2MnGa
T Nguyen, N Drucker, N Andrejevic, M Li, A Alatas, H Xu
Bulletin of the American Physical Society, 2023
A machine learning framework for Raman spectrum prediction
N Andrejevic, M Davis, M Li, M Chan
Bulletin of the American Physical Society, 2023
Virtual Node Graph Neural Network for Full Phonon Prediction
R Okabe, A Chotrattanapituk, A Boonkird, N Andrejevic, X Fu, ...
arXiv preprint arXiv:2301.02197, 2023
Panoramic Mapping of Phonon Transport from Ultrafast Electron Diffraction and Scientific Machine Learning
Z Chen, X Shen, N Andrejevic, T Liu, D Luo, T Nguyen, NC Drucker, ...
Advanced Materials 35 (2), 2206997, 2023
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