activity
20232026
most citedAI-driven materials design: a mini-review

8 citations · 14 across the 17 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cond-mat.mtrl-sci2024

Quantum Theory of X-ray Photon Correlation Spectroscopy

Phum Siriviboon, Chu-Liang Fu, Michael Landry +4

Characterizing quantum materials is essential for understanding their microscopic interactions and advancing quantum technology. X-ray photon correlation spectroscopy (XPCS) with c…

cond-mat.mtrl-sci2024★ 3 cited

Large Language Model-Guided Prediction Toward Quantum Materials Synthesis

Ryotaro Okabe, Zack West, Abhijatmedhi Chotrattanapituk +5

The synthesis of inorganic crystalline materials is essential for modern technology, especially in quantum materials development. However, designing efficient synthesis workflows r…

cond-mat.mtrl-sci2024★ 2 cited

Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates

Ryotaro Okabe, Mouyang Cheng, Abhijatmedhi Chotrattanapituk +9

Billions of organic molecules are known, but only a tiny fraction of the functional inorganic materials have been discovered, a particularly relevant problem to the community searc…

cond-mat.mtrl-sci2024

Ensemble-Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal Structure

Nguyen Tuan Hung, Ryotaro Okabe, Abhijatmedhi Chotrattanapituk +1

Optical properties in solids, such as refractive index and absorption, hold vast applications ranging from solar panels to sensors, photodetectors, and transparent displays. Howeve…

cond-mat.str-el2024

Incipient nematicity from electron flat bands in a kagome metal

Nathan Drucker, Thanh Nguyen, Manasi Mandal +16

Engineering new quantum phases requires fine tuning of the electronic, orbital, spin, and lattice degrees of freedom. To this end, the kagome lattice with flat bands has garnered g…