Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite
  Solar Cell Research
The rapid advancement of perovskite solar cells (PSCs) has led to an
exponential growth in research publications, creating an urgent need for
efficient knowledge management and reasoning systems in this domain. We present
a comprehensive knowledge-enhanced system for PSCs that integrates three key
components. First, we develop Perovskite-KG, a domain-specific knowledge graph
constructed from 1,517 research papers, containing 23,789 entities and 22,272
relationships. Second, we create two complementary datasets: Perovskite-Chat,
comprising 55,101 high-quality question-answer pairs generated through a novel
multi-agent framework, and Perovskite-Reasoning, containing 2,217 carefully
curated materials science problems. Third, we introduce two specialized large
language models: Perovskite-Chat-LLM for domain-specific knowledge assistance
and Perovskite-Reasoning-LLM for scientific reasoning tasks. Experimental
results demonstrate that our system significantly outperforms existing models
in both domain-specific knowledge retrieval and scientific reasoning tasks,
providing researchers with effective tools for literature review, experimental
design, and complex problem-solving in PSC research.
67b58c806e53744c2a373351
Xiang Liu
admin_assigned
2025-02-19T09:34:03.429Z
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Xiang Liu
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Dominic789654
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Penglei Sun
admin_assigned
2025-02-19T09:34:15.889Z
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sunpenglei
user
sunpenglei
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Shuyan Chen
67b58c806e53744c2a373354
Longhan Zhang
67b58c806e53744c2a373355
Peijie Dong
claimed_verified
2025-06-02T07:53:27.626Z
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PeijieDong
user
pprp
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Huajie You
admin_assigned
2025-02-19T18:16:35.805Z
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Huajie You
user
FrankYOU
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Yongqi Zhang
admin_assigned
2025-02-19T09:35:12.059Z
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yongqi zhang
user
yongqi2023
67b58c806e53744c2a373358
Chang Yan
67b58c806e53744c2a373359
Xiaowen Chu
admin_assigned
2025-02-19T09:35:20.611Z
6676935fcd0b89a0115174b0
/avatars/4caca1b672d29e787814f9a30bf20bcc.svg
Xiaowen Chu
user
wenxinsiju
67b58c806e53744c2a37335a
Tong-yi Zhang
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite
  Solar Cell Research
The rapid advancement of perovskite solar cells (PSCs) has led to an
exponential growth in research publications, creating an urgent need for
efficient knowledge management and reasoning systems in this domain. We present
a comprehensive knowledge-enhanced system for PSCs that integrates three key
components. First, we develop Perovskite-KG, a domain-specific knowledge graph
constructed from 1,517 research papers, containing 23,789 entities and 22,272
relationships. Second, we create two complementary datasets: Perovskite-Chat,
comprising 55,101 high-quality question-answer pairs generated through a novel
multi-agent framework, and Perovskite-Reasoning, containing 2,217 carefully
curated materials science problems. Third, we introduce two specialized large
language models: Perovskite-Chat-LLM for domain-specific knowledge assistance
and Perovskite-Reasoning-LLM for scientific reasoning tasks. Experimental
results demonstrate that our system significantly outperforms existing models
in both domain-specific knowledge retrieval and scientific reasoning tasks,
providing researchers with effective tools for literature review, experimental
design, and complex problem-solving in PSC research.
A comprehensive system integrates knowledge graphs, datasets, and specialized large language models to enhance knowledge management and reasoning for perovskite solar cell research.
knowledge graph large language models domain-specific knowledge scientific reasoning materials science problems