Research and Knowledge Management
Applications of LLMs in accelerating scientific research, literature review, and knowledge management across engineering disciplines
Research and Knowledge Management
Research on Large Language Models in Research and Knowledge Management
Supercharging Research with AI
A Multi-LLM Framework for Accelerating Scientific Discovery
Supercharging LLMs with High-Performance Computing
Bridging the gap between AI agents and computational resources
Smarter Web Crawling for LLMs
Prioritizing high-quality content for AI training
Revolutionizing Catalyst Discovery with AI
From Machine Learning to Large Language Models in Chemical Engineering
Automating Materials Science Knowledge
Leveraging LLMs to bridge simulation and experimental data
Curie: AI Agents for Rigorous Scientific Experimentation
Embedding scientific rigor into automated research workflows
NanoGPT: AI-Powered Nanotechnology Research Assistant
A specialized retrieval-augmented LLM system for accelerating nanotechnology discoveries
AI-Powered Ontology Engineering
Automating Ontology Creation with Large Language Models
AI-Powered Metadata Generation
Enhancing Data Catalogs with Retrieval Augmented LLMs
Understanding LLM Service Failures
A Framework for Automated Incident Collection and Analysis
Engineering AI Scientific Assistants
Building LLM-based tools to accelerate scientific discovery
Probability Engineering for AI
A new paradigm for advancing deep learning systems
Mapping the Quantum Workforce Landscape
AI-powered analysis reveals critical insights for quantum talent development
The Science Behind Prompt Engineering
A Theoretical Framework for Optimizing LLM Interactions
