Trevor David Rhone

Professor

United States

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Trevor David Rhone is a Professor at Rensselaer Polytechnic Institute School of Science in the United States. His research areas include high-throughput screening of skyrmionic materials, van der Waals magnetic heterostructures, and the study of two-dimensional materials. He has contributed significantly to advancing materials design methods and understanding the properties of novel magnetic materials.

Articles (17)

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2021

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2021

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2020

Collaborators (3)

Daniel Wines

National Institute of Standards and Technology

UNITED STATES

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Pascal Friederich

Juniorprofessor

Karlsruhe Institute of Technology

GERMANY

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Mark Jen-Hao Ku

Assistant Professor

University of Delaware

UNITED STATES

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Trevor David Rhone

Research Interests

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Contact this professor

About

Articles (17)

High-Throughput Screening of Skyrmionic Janus Materials

Data-Driven Studies of van der Waals Magnetic Heterostructures

High-throughput screening of altermagnetic materials

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

JARVIS-Leaderboard: a large scale benchmark of materials design methods

Exploring Bonding Configurations in MnBi2Te4-Type Materials

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

Effect of Dual-Organic Cations on the Structure and Properties of 2D Hybrid Perovskites as Scintillators

Adaptive methods of generating complex light arrays

Strain-induced topological phase transition in ferromagnetic Janus monolayer MnSbBiS<sub>2</sub>Te<sub>2</sub>

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

Methods to accelerate high-throughput screening of atomic qubit candidates in van der Waals materials

Data-driven studies of magnetic two-dimensional materials

Collaborators (3)

Daniel Wines

Pascal Friederich

Mark Jen-Hao Ku

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