Area of research
Artificial Intelligence · Mechanical Engineering
Research interest
Research interests include Computer science, Data science, Workflow, Earth science, Interface (matter), and Open data.
On the nature and distribution of mineral-forming ions: A mineral informatics approach
An LLM-based Multi-Agent System for Geoscience Legacy Document Processing, Knowledge Extraction and Quality Control
Mindat: A crowd-sourced and expert-curated open data ecosystem for mineralogy
Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research
Exploring neuro-symbolic AI applications in geoscience: implications and future directions for mineral prediction
Using adjacency matrix to explore remarkable associations in big and small mineral data
Using a 3D heat map to explore the diverse correlations among elements and mineral species
OpenMindat v1.0.0 R package: A machine interface to Mindat open data to facilitate data-intensive geoscience discoveries
Streamlining Geoscience Data Analysis with an Llm-Driven Workflow
Fine-Tuning Small and Open Llms to Automate Geoscience Data Analysis Workflows: A Scalable Approach
<scp>OpenMindat</scp>: Open and FAIR mineralogy data from the Mindat database
Using a 3d Heat Map to Explore the Diverse Correlations Among Elements and Mineral Species
SEMANTICS AS A BOOST FOR THE OPEN DATA AND OPEN SCIENCE ECOSYSTEM OF MINERALOGY
DATA EXPLORATION SUPPORTED BY OPEN AND FAIR DATA FROM MINDAT
Toward Trust-Based Recommender Systems for Open Data: A Literature Review