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Found 3 papers, 1 papers with code
Inverse Design of Metal-Organic Frameworks Using Quantum Natural Language Processing
In this study, we explore the potential of using quantum natural language processing (QNLP) to inverse design metal-organic frameworks (MOFs) with targeted properties.
MatGD: Materials Graph Digitizer
We have developed MatGD (Material Graph Digitizer), which is a tool for digitizing a data line from scientific graphs.
ChatMOF: An Autonomous AI System for Predicting and Generating Metal-Organic Frameworks
ChatMOF is an autonomous Artificial Intelligence (AI) system that is built to predict and generate metal-organic frameworks (MOFs).
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