An interactive periodic table application powered by AI that provides detailed insights about chemical elements. This modern web application combines a beautiful user interface with artificial intelligence to deliver comprehensive information about chemical elements, their properties, and their applications.
This project is developed in collaboration with:
- MXEnergy Labs
- Shizuoka University, Japan
The project aims to develop a specialized Large Language Model focused on material sciences and chemistry with the following capabilities:
Expertise Areas:
- Advanced material science concepts
- Chemical reactions and mechanisms
- Crystal structures and properties
- Quantum chemistry
- Materials characterization techniques
- Industrial applications and processes
Technical Requirements:
- High-performance computing infrastructure (GPU clusters)
- Specialized chemistry and materials science dataset
- Domain-specific training architecture
- Advanced validation frameworks
Dataset Requirements:
- Scientific papers and journals
- Chemistry textbooks and reference materials
- Materials databases
- Experimental data
- Industrial process documentation
- Research publications from collaborating institutions
- Interactive Periodic Table: A visually appealing and responsive periodic table interface
- AI-Powered Insights: Detailed element information generated using advanced AI models
- Real-time Data: Integration with the Royal Society of Chemistry (RSC) API for up-to-date chemical data
- Element Categories: Color-coded elements based on their chemical categories for easy identification
- Detailed Element Information: Comprehensive data including:
- Physical and chemical properties
- Common compounds and reactions
- Industrial applications
- Environmental impact
- Recent research developments
- Historical significance
- Frontend: Next.js 15, React 18, TailwindCSS
- 3D Visualization: Three.js with React Three Fiber
- AI Integration: Google Generative AI
- Backend & Infrastructure: Firebase (Firestore, Functions, Hosting)
- Animation: Framer Motion
- UI Components: Headless UI
- Language: TypeScript
This project is proprietary and developed in collaboration with MXEnergy Labs and Shizuoka University. All rights reserved.
- MXEnergy Labs for their expertise and collaboration
- Shizuoka University, Japan for their research contributions
- Royal Society of Chemistry for their comprehensive chemical data
- Google for their Generative AI capabilities
- The open-source community for the amazing tools and libraries
For inquiries about this project, please contact:
- MXEnergy Labs
- Shizuoka University Research Team