Trevor Rhone

Happy to share our new publication, "High-Throughput Screening of Skyrmionic Janus Materials" in ACS Applied Materials & Interfaces pubs.acs.org/doi/full/10.10…

We’re hiring a Postdoc in Materials Discovery at RPI Looking for someone with a strong background in DFT and ML for materials. Start: Flexible (2025) To apply send: CV + cover letter to materials.intelligence@gmail.com Join us at RPI to redefine materials design! #AI #materials

Excited to share a new publication, "Data-Driven Studies of van der Waals Magnetic Heterostructures" in ACS Applied Materials & Interfaces: pubs.acs.org/doi/10.1021/ac… We report ML-guided materials design – accelerating innovation in science and technology.

Excited to share our new article "High-throughput screening of altermagnetic materials," recently published in Physical Review Materials. journals.aps.org/prmaterials/ab…

Excited to share a new article, "Data-Driven Studies of Two-Dimensional Materials and Their Nonlinear Optical Properties," published in ACS Applied Materials & Interfaces. pubs.acs.org/doi/full/10.10…

Happy to share a new paper, "Predicting magnetic properties of van der Waals magnets using graph neural networks," published this week in Physical Review Materials! journals.aps.org/prmaterials/ab…

Excited to share a new publication, "Exploring Bonding Configurations in MnBi2Te4-Type Materials" in ACS Applied Materials & Interfaces published today!! pubs.acs.org/doi/10.1021/ac…

Congratulations to this year's physics Nobel Prize winners, John J. Hopfield and Geoffrey E. Hinton! Their work used tools from physics to construct machine learning models which are foundational in many different areas today. 📷 Ill. Niklas Elmehed © Nobel Prize Outreach

Nobel in physics this year goes to Machine learning!! nobelprize.org/prizes/physics…

Enjoying the start of the AIMS NIST workshop kicked off by Nicola Marzari nist.gov/news-events/ev…

Great talk by Sean Jones, Director of Argonne National labs, at the Quantum Noir conference. @Quantum_Noir

Enjoying the start of the Quantum Noir conference at Harvard University. Looking forward to the exciting talks on quantum computing, quantum materials and quantum networks.@Quantum_Noir

We’re organizing a school on "Modeling strongly correlated electrons: Numerics, analytics, and quantum simulations" in Munich this September — read more about it here physik.lmu.de/correlated-ele… @MCQST_cluster @uni_regensburg @QManyBody

I'm looking forward to having an interesting new colleague who is making lots of exciting scientific discoveries to fill this opening for a Professor or tenure track Assistant Professor in Materials Modeling: ethz.ch/en/the-eth-zur…

Happy to be a part of this exciting work recently published in npj Computational Materials, “JARVIS-Leaderboard: a large scale benchmark of materials design methods” nature.com/articles/s4152…

Excited to chair a session at the inaugural ceremony for RPI’s quantum computer - the only quantum computer at a university in the world! Dylan Sheils, a student in my group, gave an excellent talk dotcio.rpi.edu/rpi-quantum-co…

This is our new Quantum Noir 2024 Flyer. Please go to Quantum-noir.org to pre-register for the meeting. It will put you in the queue for travel support... See you in Cambridge...

Check out our new paper, "Strain-induced topological phase transition in ferromagnetic Janus monolayer MnSbBiS2Te2" recently accepted in Physical Chemistry Chemical Physics. pubs.rsc.org/en/content/art…

Kicking off the Inaugural Massachusetts College of Liberal Arts (MCLA) Physics Speaker Series with a presentation on AI-guided materials discovery for advancing technological innovation