Cover Image

Large Language Model-Guided Prediction Toward Quantum Materials Synthesis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Okabe, Ryotaro, West, Zack, Chotrattanapituk, Abhijatmedhi, Cheng, Mouyang, Carrizales, Denisse Córdova, Xie, Weiwei, Cava, Robert J., Li, Mingda
Format:	Preprint
Published:	2024
Subjects:	Materials Science Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Universal Ensemble‐Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal Structures
by: Nguyen Tuan Hung, et al.
Published: (2024)

Universal Ensemble‐Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal Structures (Adv. Mater. 46/2024)
by: Nguyen Tuan Hung, et al.
Published: (2024)

Ensemble-Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal Structure
by: Hung, Nguyen Tuan, et al.
Published: (2024)

Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates
by: Okabe, Ryotaro, et al.
Published: (2024)

AI-driven materials design: a mini-review
by: Cheng, Mouyang, et al.
Published: (2025)

AI-Driven Defect Engineering for Advanced Thermoelectric Materials
by: Fu, Chu-Liang, et al.
Published: (2025)

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
by: Chu‐Liang Fu, et al.
Published: (2025)

Tuning chiral anomaly signature in a Dirac semimetal via fast-ion implantation
by: Mandal, Manasi, et al.
Published: (2025)

Quantum Theory of X-ray Photon Correlation Spectroscopy
by: Siriviboon, Phum, et al.
Published: (2024)

Universal Magnetic Structure Prediction from Atomic Coordinates with Near-Experimental Accuracy
by: Chotrattanapituk, Abhijatmedhi, et al.
Published: (2026)

A Foundation Model for Non-Destructive Defect Identification from Vibrational Spectra
by: Cheng, Mouyang, et al.
Published: (2025)

Quantum Theory of Functionally Graded Materials
by: Landry, Michael J., et al.
Published: (2026)

Spatiotemporal Mapping of Anisotropic Thermal Transport in GaN Thin Films via Ultrafast X-ray Diffraction
by: Nguyen, Thanh, et al.
Published: (2025)

Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling
by: Cheng, Mouyang, et al.
Published: (2025)

Reinforcement learning-guided optimization of critical current in high-temperature superconductors
by: Cheng, Mouyang, et al.
Published: (2025)

Recent Progress in Studies of Cobalt-based Quasi-1-dimensional Quantum Magnets
by: Jin, Lun, et al.
Published: (2025)

Raman Fingerprints of Phase Transitions and Ferroic Couplings in Van der Waals Material CuCrP$_2$S$_6$
by: Tang, Jing, et al.
Published: (2025)

Co-doping Er plus V or Er plus Nb into CaWO4
by: Yang, Chen, et al.
Published: (2024)

Deep Learning Based Superconductivity: Prediction and Experimental Tests
by: Kaplan, Daniel, et al.
Published: (2024)

Predicting macroscopic properties of amorphous monolayer carbon via pair correlation function
by: Cheng, Mouyang, et al.
Published: (2024)

Anomalous Neutron Nuclear-Magnetic Interference Spectroscopy
by: Fu, Chuliang, et al.
Published: (2024)

Regression with Large Language Models for Materials and Molecular Property Prediction
by: Jacobs, Ryan, et al.
Published: (2024)

Pressure-Induced Phase Transitions in Bilayer La$_3$Ni$_2$O$_7$
by: Xu, Mingyu, et al.
Published: (2024)

Is La3Ni2O6.5 a Bulk Superconducting Nickelate?
by: Gao, Ran, et al.
Published: (2023)

Mathematical crystal chemistry II: Random search for ionic crystals and analysis on oxide crystals registered in ICSD
by: Koshoji, Ryotaro
Published: (2025)

LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction
by: Rubungo, Andre Niyongabo, et al.
Published: (2024)

MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning
by: Noh, Heewoong, et al.
Published: (2026)

Site preference of chalcogen atoms in 1T$^\prime$ $MX_{2(1-x)}Y_{2x}$ ($M=$ Mo and W; $X, Y=$ S, Se, and Te)
by: Ono, Shota, et al.
Published: (2026)

Mathematical Crystal Chemistry
by: Koshoji, Ryotaro, et al.
Published: (2024)

Harnessing Machine Learning for Quantum-Accurate Predictions of Non-Equilibrium Behavior in 2D Materials
by: Zhang, Yue, et al.
Published: (2025)

AI-Guided Quantum Material Simulator for Education. Case Example: The Neuromorphic Materials Calculator 2025
by: Barrionuevo, Santiago D., et al.
Published: (2025)

Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design
by: Liu, Siyu, et al.
Published: (2024)

Large Language Models (LLMs) for Materials Design
by: Lei Zhang, et al.
Published: (2025)

Empowering Generalist Material Intelligence with Large Language Models
by: Wenhao Yuan, et al.
Published: (2025)

Free and Inexpensive Materials for Preschool and Early Childhood.
by: Monahan, Robert
Published: (1973)

Charge-Neutral Electronic Excitations in Quantum Insulators
by: Wu, Sanfeng, et al.
Published: (2024)

Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models
by: Xie, Yong, et al.
Published: (2026)

Adaptive AI-Driven Material Synthesis: Towards Autonomous 2D Materials Growth
by: Sabattini, Leonardo, et al.
Published: (2024)

Towards Accurate Prediction of Configurational Disorder Properties in Materials using Graph Neural Networks
by: Fang, Zhenyao, et al.
Published: (2024)

AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials
by: Lv, Taoyuze, et al.
Published: (2025)