Daniel Wines
University of Maryland, Baltimore County
H-index: 8
North America-United States
Top articles of Daniel Wines
Forward and inverse design of ambient and high pressure superconductors using DFT and deep learning
Bulletin of the American Physical Society
2024/3/5
Daniel Wines
H-Index: 3
Modeling Chemical Exfoliation of Non-van der Waals Chromium Sulfides by Machine Learning Interatomic Potentials and Monte Carlo Simulations
The Journal of Physical Chemistry C
2024/1/10
Daniel Wines
H-Index: 3
Data-driven Design of High Pressure Hydride Superconductors using DFT and Deep Learning
arXiv preprint arXiv:2312.12694
2023/12/20
Daniel Wines
H-Index: 3
Recent progress in the JARVIS infrastructure for next-generation data-driven materials design
2023/12/1
Daniel Wines
H-Index: 3
Neural network potentials for modeling nonstoichiometric materials: a case of Chromium Sulfides CrS
arXiv preprint arXiv:2308.05163
2023/8/9
Daniel Wines
H-Index: 3
Inverse design of next-generation superconductors using data-driven deep generative models
arXiv preprint arXiv:2304.08446
2023/4/17
Daniel Wines
H-Index: 3
Tian Xie
H-Index: 5
Large scale benchmark of materials design methods
arXiv preprint arXiv:2306.11688
2023/6/20
Forward and Inverse design of high superconductors with DFT and deep learning
2023/4/21
Daniel Wines
H-Index: 3
Tian Xie
H-Index: 5
A Quantum Monte Carlo Study of the Structural, Energetic, and Magnetic Properties of Two-Dimensional H and T Phase VSe2
Daniel Wines
H-Index: 3
Kayahan Saritas
H-Index: 7
High-throughput DFT-based discovery of next generation two-dimensional (2D) superconductors
Nano letters
2023/1/30
Daniel Wines
H-Index: 3
Systematic DFT+U and Quantum Monte Carlo Benchmark of Magnetic Two-Dimensional (2D) CrX3 (X = I, Br, Cl, F)
The Journal of Physical Chemistry C
2023/1/9
Daniel Wines
H-Index: 3
Designing high-Tc bulk and two-dimensional (2D) superconductors with BCS-inspired screening, density functional theory, deep-learning and experiments
APS March Meeting Abstracts
2023
Daniel Wines
H-Index: 3
Neural Network Potentials for Nonstoichiometric Materials: a case study for chromium sulfides
Bulletin of the American Physical Society
2022/12/4
Daniel Wines
H-Index: 3
Intrinsic Ferromagnetism of Two-Dimensional (2D) MnO2 Revisited: A Many-Body Quantum Monte Carlo and DFT+U Study
The Journal of Physical Chemistry C
2022/3/24
Daniel Wines
H-Index: 3
Kayahan Saritas
H-Index: 7
Beyond DFT: Accurately Engineering the Properties of 2D Materials for Energy and Device Applications
2022
Daniel Wines
H-Index: 3
Experimental and Theoretical Study on the Possible Half-Metallic Behavior of Co2-Xvxfege Heusler Alloys
Available at SSRN 4004744
2022
A neural network potential for high throughput screening of the energetics and thermodynamical stabilities of non-stoichiometric Chromium Sulfides
APS March Meeting Abstracts
2022
Daniel Wines
H-Index: 3
A DFT+U and many-body Quantum Monte Carlo study of monolayer MnO2 and VSe2
APS March Meeting Abstracts
2022
Daniel Wines
H-Index: 3
Kayahan Saritas
H-Index: 7
Influence of Cr-substitution on the structural, magnetic, electron transport, and mechanical properties of Fe3− xCrxGe Heusler alloys
UMBC Student Collection
Predicting the atomic structure of magnetic layered materials from ab-initio materials simulations and machine learning
APS March Meeting Abstracts
2021
Daniel Wines
H-Index: 3
Co-Authors
