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Daniel Wines
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Tuneable structure and magnetic properties in Fe3− xVxGe alloys
R Mahat, KC Shambhu, D Wines, F Ersan, S Regmi, U Karki, R White, ...
Journal of Alloys and Compounds 830, 154403, 2020
312020
Electronic properties of bare and functionalized two-dimensional (2D) tellurene structures
D Wines, JA Kropp, G Chaney, F Ersan, C Ataca
Physical Chemistry Chemical Physics 22 (12), 6727-6737, 2020
312020
Positive and Negative Photoconductivity in Monolayer MoS2 as a Function of Physisorbed Oxygen
JK Gustafson, D Wines, E Gulian, C Ataca, LM Hayden
The Journal of Physical Chemistry C 125 (16), 8712-8718, 2021
262021
A first-principles Quantum Monte Carlo study of two-dimensional (2D) GaSe
D Wines, K Saritas, C Ataca
The Journal of Chemical Physics 153 (15), 2020
252020
Engineering the Electronic, Thermoelectric, and Excitonic Properties of Two-Dimensional Group-III Nitrides through Alloying for Optoelectronic Devices (B1–x Al x N, Al1–x Ga x …
D Wines, F Ersan, C Ataca
ACS Applied Materials & Interfaces 12 (41), 46416-46428, 2020
252020
Influence of Cr-substitution on the structural, magnetic, electron transport, and mechanical properties of Fe3− xCrxGe Heusler alloys
R Mahat, KC Shambhu, D Wines, S Regmi, U Karki, Z Li, F Ersan, JY Law, ...
Journal of Magnetism and Magnetic Materials 521, 167398, 2021
232021
High-throughput DFT-based discovery of next generation two-dimensional (2D) superconductors
D Wines, K Choudhary, AJ Biacchi, KF Garrity, F Tavazza
Nano letters 23 (3), 969-978, 2023
192023
Systematic DFT+U and Quantum Monte Carlo Benchmark of Magnetic Two-Dimensional (2D) CrX3 (X = I, Br, Cl, F)
D Wines, K Choudhary, F Tavazza
The Journal of Physical Chemistry C 127 (2), 1176-1188, 2023
122023
Inverse design of next-generation superconductors using data-driven deep generative models
D Wines, T Xie, K Choudhary
The Journal of Physical Chemistry Letters 14 (29), 6630-6638, 2023
112023
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
102023
A pathway toward high-throughput quantum Monte Carlo simulations for alloys: A case study of two-dimensional (2D) GaSxSe1− x
D Wines, K Saritas, C Ataca
The Journal of Chemical Physics 155 (19), 2021
82021
Abnormal phase transition and band renormalization of guanidinium-based organic–inorganic hybrid perovskite
H Li, D Wines, B Chen, K Yumigeta, YM Sayyad, J Kopaszek, S Yang, ...
ACS Applied Materials & Interfaces 13 (37), 44964-44971, 2021
82021
Intrinsic Ferromagnetism of Two-Dimensional (2D) MnO2 Revisited: A Many-Body Quantum Monte Carlo and DFT+U Study
D Wines, K Saritas, C Ataca
The Journal of Physical Chemistry C 126 (13), 5813-5821, 2022
72022
A Quantum Monte Carlo Study of the Structural, Energetic, and Magnetic Properties of Two-Dimensional H and T Phase VSe2
D Wines, J Tiihonen, K Saritas, JT Krogel, C Ataca
The Journal of Physical Chemistry Letters 14 (14), 3553-3560, 2023
52023
Effect of V substitution on structural, magnetic, transport and mechanical properties of the half-metal-type Heusler alloy Co2FeGe
R Mahat, S KC, D Wines, S Regmi, U KARKI, F Ersan, C Ataca, A Gupta, ...
Bulletin of the American Physical Society 65, 2020
42020
Recent progress in the JARVIS infrastructure for next-generation data-driven materials design
D Wines, R Gurunathan, KF Garrity, B DeCost, AJ Biacchi, F Tavazza, ...
Applied Physics Reviews 10 (4), 2023
32023
Modeling Chemical Exfoliation of Non-van der Waals Chromium Sulfides by Machine Learning Interatomic Potentials and Monte Carlo Simulations
A Ibrahim, D Wines, C Ataca
The Journal of Physical Chemistry C 128 (3), 1267-1283, 2024
12024
Neural network potentials for modeling nonstoichiometric materials: a case of Chromium Sulfides CrS
A Ibrahim, D Wines, C Ataca
arXiv preprint arXiv:2308.05163, 2023
12023
Forward and Inverse design of high superconductors with DFT and deep learning
D Wines, KF Garrity, T Xie, K Choudhary
Workshop on''Machine Learning for Materials''ICLR 2023, 2023
12023
Forward and inverse design of ambient and high pressure superconductors using DFT and deep learning
D Wines, K Choudhary
Bulletin of the American Physical Society, 2024
2024
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