5 citations · 8 across the 8 of their papers we have counts for
6 papers · 1 filter
AutoSchema: Live Schema Grounding for Agentic Text-to-Sparql over Heterogeneous Knowledge Graphs
Yiming Zhang, Koji Tsuda
Life science knowledge graphs make large collections of structured data available through SPARQL, but each resource uses its own schema, identifiers, and links. TogoMCP helps langu…
SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation
Yiming Zhang, Koji Tsuda
Complex knowledge base question answering (KBQA) is commonly approached through either information retrieval over a question-specific subgraph or semantic parsing into an executabl…
NIMO: A Software Platform for Closed-Loop Materials Exploration with Diverse AI Algorithms
Ryo Tamura, Naruki Yoshikawa, Koji Tsuda +1
Self-driving laboratories (SDLs), where artificial intelligence proposes subsequent experiments and robotic systems execute them, are rapidly becoming the vanguard of materials dis…
ProvMind: Provenance-grounded reasoning for materials synthesis
Yiming Zhang, Ryo Tamura, Koji Tsuda
Materials process optimization requires reasoning over routes, conditions, tools and causal dependencies, yet most computational formulations flatten synthesis procedures into text…
LLM-guided phase diagram construction through high-throughput experimentation
Ryo Tamura, Haruhiko Morito, Yuna Oikawa +7
Constructing phase diagrams for multicomponent alloys requires extensive experimental measurements and is a time-consuming task. Here we investigate whether large language models (…
Update of PHYSBO: Improving Usability and Portability of Bayesian Optimization for Physics and Materials Research
Yuichi Motoyama, Kazuyoshi Yoshimi, Tatsumi Aoyama +3
Bayesian optimization (BO) is widely used to accelerate physics and materials research, where objective function evaluations are computationally or experimentally expensive. While…