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Matthew D Redell
Matthew D Redell
Graduate Student, Binghamton University
Zweryfikowany adres z binghamton.edu
Tytuł
Cytowane przez
Cytowane przez
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CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems
M Elhamod, J Bu, C Singh, M Redell, A Ghosh, V Podolskiy, WC Lee, ...
ACM Transactions on Intelligent Systems and Technology 13 (6), 1-23, 2022
372022
Resonant Plasmon-Axion Excitations Induced by Charge Density Wave Order in Weyl Semimetal
MD Redell, S Mukherjee, WC Lee
Physical Review B 93 (24), 5, 2016
132016
Field-induced resistance peak in a superconducting niobium thin film proximity coupled to a surface reconstructed SrTiO3
AK Singh, U Kar, MD Redell, TC Wu, WH Peng, B Das, S Kumar, WC Lee, ...
npj Quantum Materials 5 (1), 45, 2020
112020
Augmenting machine learning algorithms with the addition of a physics based intelligence prior
C Singh, M Redell, M Elhamod, J Bu, A Karpatne, WC Lee
Bulletin of the American Physical Society 65, 2020
2020
Unlocking quantum critical phenomena with physics guided artificial intelligence
C Singh, M Redell, M Elhamod, J Bu, WC Lee, A Karpatne
Bulletin of the American Physical Society 65, 2020
2020
Engineering Correlation and Topological Effects in Transition Metal Oxides
MD Redell
State University of New York at Binghamton, 2020
2020
Engineering nanoscale superconductivity through the competition between ferromagnetism and superconductivity
M Redell, WC Lee
APS March Meeting Abstracts 2019, L10. 011, 2019
2019
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