Cover Image

Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, HuangChao, Zhang, Baohua, Jin, Zhong, Zhu, Tiannian, Wu, Quansheng, Weng, Hongming
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Materials Science Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MaterialsGalaxy: A Platform Fusing Experimental and Theoretical Data in Condensed Matter Physics
by: Zhu, Tiannian, et al.
Published: (2025)

VASPilot: MCP-Facilitated Multi-Agent Intelligence for Autonomous VASP Simulations
by: Liu, Jiaxuan, et al.
Published: (2025)

TopoMAS: Large Language Model Driven Topological Materials Multiagent System
by: Zhang, Baohua, et al.
Published: (2025)

Stacking-dependent Electronic and Topological Properties in van der Waals Antiferromagnet MnBi$_2$Te$_4$ Films
by: Li, Jiaheng, et al.
Published: (2025)

A Framework for Understanding Colossal Magnetoresistance and Complex Resistivity Behaviors in Magnetic Semiconductor
by: Liu, Zhihao, et al.
Published: (2025)

The inadequacy of the $ρ$-T curve for phase transitions in the presence of magnetic fields
by: Zhang, Shengnan, et al.
Published: (2024)

Ferroelectric switching of quantum anomalous Hall effects in MnBi2Te4 films
by: Li, Jiaheng, et al.
Published: (2025)

Materials discovery acceleration by using condition generative methodology
by: Ye, Caiyuan, et al.
Published: (2025)

DPmoire: A tool for constructing accurate machine learning force fields in moiré systems
by: Liu, Jiaxuan, et al.
Published: (2024)

High-Chern-number Quantum anomalous Hall insulators in mixing-stacked MnBi$_2$Te$_4$ thin films
by: Li, Jiaheng, et al.
Published: (2025)

Powder Diffraction Crystal Structure Determination Using Generative Models
by: Li, Qi, et al.
Published: (2024)

A combined First-principles and Boltzmann transport theory methodology for studying magnetotransport in magnetic materials
by: Liu, Zhihao, et al.
Published: (2024)

SDW driven "magnetic breakdown" in a d-wave altermagnet KV$_2$Se$_2$O
by: Yan, Xu, et al.
Published: (2025)

First-principles methodology for studying magnetotransport in narrow-gap semiconductors: an application to Zirconium Pentatelluride ZrTe5
by: Pi, Hanqi, et al.
Published: (2024)

Disentangling Anomalous Hall Effect Mechanisms and Extra Symmetry Protection in Altermagnetic Systems
by: Bu, Yuansheng, et al.
Published: (2026)

Polarization-induced Quantum Spin Hall Insulator and Topological Devices in InAs Quantum Wells
by: Liang, Chenhao, et al.
Published: (2025)

LLMatDesign: Autonomous Materials Discovery with Large Language Models
by: Jia, Shuyi, et al.
Published: (2024)

Symmetry-Indicated Time-Reversal-Doubled Axion Insulators
by: Xie, Yue, et al.
Published: (2026)

Enumeration of spin-space groups: Towards a complete description of symmetries of magnetic orders
by: Jiang, Yi, et al.
Published: (2023)

Majorana Zero Modes and Topological Nature in Bi2Ta3S6-family Superconductors
by: Xie, Yue, et al.
Published: (2026)

MatTools: Benchmarking Large Language Models for Materials Science Tools
by: Liu, Siyu, et al.
Published: (2025)

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

LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation
by: Chiang, Yuan, et al.
Published: (2024)

Machine Learning on Multiple Topological Materials Datasets
by: He, Yuqing, et al.
Published: (2025)

Foundational Large Language Models for Materials Research
by: Mishra, Vaibhav, et al.
Published: (2024)

Spin-polarized triplet excitonic insulators in Ta3X8 (X=I, Br) monolayers
by: Sheng, Haohao, et al.
Published: (2025)

MaterialBENCH: Evaluating College-Level Materials Science Problem-Solving Abilities of Large Language Models
by: Yoshitake, Michiko, et al.
Published: (2024)

Superconductivity in unconventional metals
by: Yang, Zhilong, et al.
Published: (2023)

Reliable End-to-End Material Information Extraction from the Literature with Source-Tracked Multi-Stage Large Language Models
by: Wang, Xin, et al.
Published: (2025)

BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models
by: Li, Haitao, et al.
Published: (2024)

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

Entropy-Based Data Selection for Language Models
by: Li, Hongming, et al.
Published: (2026)

Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
by: Song, Zirui, et al.
Published: (2025)

Majorana corner modes in unconventional monolayers of the 1T-PtSe2 family
by: Sheng, Haohao, et al.
Published: (2023)

MatQnA: A Benchmark Dataset for Multi-modal Large Language Models in Materials Characterization and Analysis
by: Weng, Yonghao, et al.
Published: (2025)

IFShip: Interpretable Fine-grained Ship Classification with Domain Knowledge-Enhanced Vision-Language Models
by: Guo, Mingning, et al.
Published: (2024)

Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering
by: Jiang, Bowen, et al.
Published: (2025)

Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG
by: Bhushan, Kushagra, et al.
Published: (2025)

Excitonic Instability in Ta2Pd3Te5 Monolayer
by: Yao, Jingyu, et al.
Published: (2024)

Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data
by: Li, Haoran, et al.
Published: (2024)