Trevor David Rhone
Trevor David Rhone
Professor, Rensselaer Polytechnic Institute
Verified email at - Homepage
Cited by
Cited by
COMBO: An efficient Bayesian optimization library for materials science
T Ueno, TD Rhone, Z Hou, T Mizoguchi, K Tsuda
Materials discovery 4, 18-21, 2016
Systematic search for two-dimensional ferromagnetic materials
Y Zhu, X Kong, TD Rhone, H Guo
Physical Review Materials 2 (8), 081001, 2018
Observation of magnetophonon resonance of Dirac fermions in graphite
J Yan, S Goler, TD Rhone, M Han, R He, P Kim, V Pellegrini, A Pinczuk
Physical review letters 105 (22), 227401, 2010
Rapid collapse of spin waves in nonuniform phases of the second Landau level
TD Rhone, J Yan, Y Gallais, A Pinczuk, L Pfeiffer, K West
Physical Review Letters 106 (19), 196805, 2011
NMR profiling of quantum electron solids in high magnetic fields
L Tiemann, TD Rhone, N Shibata, K Muraki
Nature Physics 10 (9), 648-652, 2014
Data-driven studies of magnetic two-dimensional materials
TD Rhone, W Chen, S Desai, SB Torrisi, DT Larson, A Yacoby, E Kaxiras
Scientific reports 10 (1), 15795, 2020
Data-driven studies of magnetic two-dimensional materials
TD Rhone, W Chen, S Desai, SB Torrisi, DT Larson, A Yacoby, E Kaxiras
Scientific reports 10 (1), 15795, 2020
Data-driven studies of li-ion-battery materials
SK Kauwe, TD Rhone, TD Sparks
Crystals 9 (1), 54, 2019
Observation of nonconventional spin waves in composite-fermion ferromagnets
U Wurstbauer, D Majumder, SS Mandal, I Dujovne, TD Rhone, BS Dennis, ...
Physical review letters 107 (6), 066804, 2011
Higher-energy composite fermion levels in the fractional quantum Hall effect
TD Rhone, D Majumder, BS Dennis, C Hirjibehedin, I Dujovne, ...
Physical review letters 106 (9), 096803, 2011
Data-driven studies of the magnetic anisotropy of two-dimensional magnetic materials
Y Xie, GA Tritsaris, O Granas, TD Rhone
The Journal of Physical Chemistry Letters 12 (50), 12048-12054, 2021
NMR probing of spin and charge order near odd-integer filling in the second Landau level
TD Rhone, L Tiemann, K Muraki
Physical Review B 92 (4), 041301, 2015
Large scale benchmark of materials design methods
K Choudhary, D Wines, K Li, KF Garrity, V Gupta, AH Romero, JT Krogel, ...
arXiv preprint arXiv:2306.11688, 2023
Machine Learning-Aided Band Gap Engineering of BaZrS3 Chalcogenide Perovskite
S Sharma, ZD Ward, K Bhimani, M Sharma, J Quinton, TD Rhone, SF Shi, ...
ACS Applied Materials & Interfaces 15 (15), 18962-18972, 2023
Investigating magnetic van der Waals materials using data-driven approaches
R Bhattarai, P Minch, TD Rhone
Journal of Materials Chemistry C 11 (17), 5601-5610, 2023
Artificial Intelligence Guided Studies of van der Waals Magnets
TD Rhone, R Bhattarai, H Gavras, B Lusch, M Salim, M Mattheakis, ...
Advanced Theory and Simulations 6 (6), 2300019, 2023
Methods to accelerate high-throughput screening of atomic qubit candidates in van der Waals materials
R Kuate Defo, H Nguyen, MJH Ku, TD Rhone
Journal of Applied Physics 129 (22), 2021
Observation of exchange Coulomb interactions in the quantum Hall state at ν= 3
AB Van’kov, TD Rhone, A Pinczuk, IV Kukushkin, LN Pfeiffer, KW West, ...
Physical Review B 83 (24), 245325, 2011
Predicting outcomes of catalytic reactions using machine learning
TD Rhone, R Hoyt, CR O'Connor, MM Montemore, CSSR Kumar, ...
arXiv preprint arXiv:1908.10953, 2019
Data-driven study of magnetic anisotropy in transition metal dichalcogenide monolayers
P Minch, R Bhattarai, TD Rhone
Solid State Communications 371, 115248, 2023
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