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Cangi, Attila
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1

Machine learning-driven structure prediction for iron hydri..:

Tahmasbi, Hossein ; Ramakrishna, Kushal ; Lokamani, Mani.
Physical Review Materials.  8 (2024)  3 - p. , 2024
Link: https://doi.org/10.1103/..
 
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2

Inverting the Kohn–Sham equations with physics-informed mac..:

Martinetto, Vincent ; Shah, Karan ; Cangi, Attila.
Machine Learning: Science and Technology.  5 (2024)  1 - p. 015050 , 2024
Link: https://doi.org/10.1088/..
 
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3

Ultrahigh resolution x-ray Thomson scattering measurements ..:

Gawne, Thomas ; Moldabekov, Zhandos A. ; Humphries, Oliver S....
Physical Review B.  109 (2024)  24 - p. , 2024
Link: https://doi.org/10.1103/..
 
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4

Random Quantum Neural Networks for Noisy Image Recognition:

, In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE),
Konar, Debanjan ; Gelenbe, Erol ; Bhandary, Soham.. - p. 276-277 , 2023
Link: https://doi.org/10.1109/..
 
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5

International Conference on "Strongly Coupled Coulomb Syste..:

Cangi, Attila ; Moldabekov, Zhandos A. ; Neilson, David
Contributions to Plasma Physics.  63 (2023)  9-10 - p. , 2023
Link: https://doi.org/10.1002/..
 
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6

A shallow hybrid classical–quantum spiking feedforward neur..:

Konar, Debanjan ; Sarma, Aditya Das ; Bhandary, Soham...
Applied Soft Computing.  136 (2023)  - p. 110099 , 2023
Link: https://doi.org/10.1016/..
 
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7

Deep Spiking Quantum Neural Network for Noisy Image Classif..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Konar, Debanjan ; Aggarwal, Vaneet ; Das Sarma, Aditya... - p. 1-10 , 2023
Link: https://doi.org/10.1109/..
 
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8

Predicting electronic structures at any length scale with m..:

Fiedler, Lenz ; Modine, Normand A. ; Schmerler, Steve...
npj Computational Materials.  9 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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9

Improved calculations of mean ionization states with an ave..:

Callow, Timothy J. ; Kraisler, Eli ; Cangi, Attila
Physical Review Research.  5 (2023)  1 - p. , 2023
Link: https://doi.org/10.1103/..
 
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10

Impact of Electronic Correlations on High-Pressure Iron: In..:

Ramakrishna, Kushal ; Lokamani, Mani ; Baczewski, Andrew..
Electronic Structure.  , 2023
Link: https://doi.org/10.1088/..
 
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11

Assessing the accuracy of hybrid exchange-correlation funct..:

Moldabekov, Zhandos A. ; Lokamani, Mani ; Vorberger, Jan..
The Journal of Chemical Physics.  158 (2023)  9 - p. , 2023
Link: https://doi.org/10.1063/..
 
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12

Physics-enhanced neural networks for equation-of-state calc..:

Callow, Timothy J ; Nikl, Jan ; Kraisler, Eli.
Machine Learning: Science and Technology.  4 (2023)  4 - p. 045055 , 2023
Link: https://doi.org/10.1088/..
 
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13

Non-empirical Mixing Coefficient for Hybrid XC Functionals ..:

Moldabekov, Zhandos A. ; Lokamani, Mani ; Vorberger, Jan..
The Journal of Physical Chemistry Letters.  14 (2023)  5 - p. 1326-1333 , 2023
Link: https://doi.org/10.1021/..
 
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14

Transferable interatomic potential for aluminum from ambien..:

Kumar, Sandeep ; Tahmasbi, Hossein ; Ramakrishna, Kushal...
Physical Review Research.  5 (2023)  3 - p. , 2023
Link: https://doi.org/10.1103/..
 
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15

Machine-Learning for Static and Dynamic Electronic Structur..:

, In: Challenges and Advances in Computational Chemistry and Physics; Machine Learning in Molecular Sciences,
Fiedler, Lenz ; Shah, Karan ; Cangi, Attila - p. 113-160 , 2023
Link: https://doi.org/10.1007/..
 
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