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CathodeX
AI-powered cathode material screening platform using graph neural networks for predicting battery material properties.
PythonAIGraph Neural Networks
System Architecture
Repository Evidence
Measured from GitHub public repository data on May 31, 2026.
Primary language
Python
Last public update
2026-04-13
Tracked issues
1
Repository size
24.3 MB
Language mix
PythonTypeScriptHTMLPowerShellShell
Technical Overview
Built using PyTorch and Graph Neural Networks (GNNs) to model the atomic structure of cathode materials. It leverages high-throughput screening algorithms to predict key battery properties such as energy density and stability.
Value Proposition
Accelerating the future of energy storage. CathodeX reduces the time and cost of battery material discovery by orders of magnitude, empowering researchers to find the next generation of sustainable energy solutions.