Select Publications

Data-Driven Studies of Two-Dimensional Materials and Their Nonlinear Optical Properties

K. Wagoner-Oshima, R. Bhattarai, H. Terrones, and T. D. Rhone, “Data-Driven Studies of Two-Dimensional Materials and Their Nonlinear Optical Properties,” ACS Appl. Mater. Interfaces, Feb. 2025.

Predicting magnetic properties of van der Waals magnets using graph neural networks

P. Minch, R. Bhattarai, K. Choudhary, and T. D. Rhone, “Predicting magnetic properties of van der Waals magnets using graph neural networks,” Phys. Rev. Mater., vol. 8, no. 11, p. 114002, Nov. 2024.

Strain-induced topological phase transition in ferromagnetic Janus monolayer MnSbBiS2Te2

R Bhattarai, P Minch, Y Liang, S Zhang, TD Rhone

Physical Chemistry Chemical Physics

Data-driven study of magnetic anisotropy in transition metal dichalcogenide monolayers

Peter Minch, Romakanta Bhattarai, Trevor David Rhone, “Data-driven study of magnetic anisotropy in transition metal dichalcogenide monolayers,” Solid State Commun., vol. 371, p. 115248, 2023.

Data-Driven Studies of the Magnetic Anisotropy of Two-Dimensional Magnetic Materials

Y. Xie, G. A. Tritsaris, O. Grånäs, and T. D. Rhone, J. Phys. Chem. Lett. 12048 (2021).

Data-driven studies of magnetic two-dimensional materials

TD Rhone, W Chen, S Desai, S. B. Torrisi, D . Larson, A Yacoby, E Kaxiras Scientific Reports 10, 15795 (2020)

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)

Data-driven studies of li-ion-battery materials

SK Kauwe, TD Rhone, TD Sparks Crystals 9 (1), 54 (2019)

Systematic search for two-dimensional ferromagnetic materials

Y Zhu, X Kong, TD Rhone, H Guo Physical Review Materials 2 (8), 081001 (2018)

Materials Intelligence

Rhone Research Group

Select Publications

Data-Driven Studies of Two-Dimensional Materials and Their Nonlinear Optical Properties

Predicting magnetic properties of van der Waals magnets using graph neural networks

Strain-induced topological phase transition in ferromagnetic Janus monolayer MnSbBiS2Te2

Data-driven study of magnetic anisotropy in transition metal dichalcogenide monolayers

Artificial intelligence guided studies of van der Waals magnets

Machine Learning-Aided Band Gap Engineering of BaZrS3 Chalcogenide Perovskite

Investigating magnetic van der Waals materials using data-driven approaches

Data-Driven Studies of the Magnetic Anisotropy of Two-Dimensional Magnetic Materials

Data-driven studies of magnetic two-dimensional materials

COMBO: an efficient Bayesian optimization library for materials science

Data-driven studies of li-ion-battery materials

Systematic search for two-dimensional ferromagnetic materials

list of all publications

Google scholar profile

Preprints

Contact Us

Questions or Comments?

Materials Intelligence

Get in Touch

Materials Intelligence

Rhone Research Group

Select Publications

Data-Driven Studies of Two-Dimensional Materials and Their Nonlinear Optical Properties

Predicting magnetic properties of van der Waals magnets using graph neural networks

Strain-induced topological phase transition in ferromagnetic Janus monolayer MnSbBiS2Te2

Data-driven study of magnetic anisotropy in transition metal dichalcogenide monolayers

Artificial intelligence guided studies of van der Waals magnets

Machine Learning-Aided Band Gap Engineering of BaZrS3 Chalcogenide Perovskite

Investigating magnetic van der Waals materials using data-driven approaches

Data-Driven Studies of the Magnetic Anisotropy of Two-Dimensional Magnetic Materials

Data-driven studies of magnetic two-dimensional materials

COMBO: an efficient Bayesian optimization library for materials science

Data-driven studies of li-ion-battery materials

Systematic search for two-dimensional ferromagnetic materials

list of all publications

Google scholar profile

Preprints

Social

Contact Us

Questions or Comments?

Materials Intelligence

Get in Touch

This website uses cookies.