CuspAI

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Cambridge University launches AI search tool for materials science

Collection time:
2025-08-11
Open site
CuspAICuspAI
CuspAIOpen site

What is CuspAI

CuspAI is an AI-powered materials science search tool launched by the University of Cambridge. Users simply input the properties of a desired material, and CuspAI quickly identifies potential molecular structures, accelerating research. In June 2024, CuspAI secured $30 million in seed funding, with Professor Max Welling serving as co-founder and Chief AI Officer. CuspAI is developing new materials for capturing and storing carbon dioxide, contributing to global carbon neutrality goals.

CuspAI’s main features

  • Material Property Search : Users can search for new materials based on specific properties.
  • Molecular structure generation : AI generates possible material molecular structures based on user needs.
  • Rapid screening and evaluation : The system can rapidly screen and evaluate large numbers of novel structures.
  • New material discovery : Users can describe the material properties they need, such as strength, conductivity, heat resistance, etc., and CuspAI’s AI system will generate new material molecular structures that meet these properties.
  • Carbon Capture and Storage : CuspAI focuses on designing materials that can capture and store carbon dioxide, which is critical to reducing greenhouse gas emissions and combating climate change.

How to use CuspAI

  • Access the platform : Users need to visit CuspAI’s official website ( cusp.ai ).
  • Registration and Login : You need to register an account and log in to use CuspAI’s services.
  • Input material requirements : Users need to describe in detail the properties they want the new material to have, such as mechanical strength, conductivity, thermal stability, optical properties, etc. They can also specify specific application scenarios, such as battery materials, catalysts, drug carriers, etc.
  • AI Analysis and Generation : CuspAI’s AI system analyzes user input and uses algorithms to generate molecular structures that meet those requirements. The system generates multiple candidate molecular structures for the user to choose from.
  • Screening and optimization : Users can select structures of interest from the generated molecular structures and further optimize these structures to meet more specific performance requirements.
  • Evaluation and Testing : CuspAI provides virtual evaluation tools to help users assess the performance of selected molecular structures. Users can also send these molecular structures to the laboratory for actual testing and verification.
  • Commercialization and Application : Once the appropriate molecular structure of a material is found, users can begin to consider how to commercialize and apply these new materials to actual products.
  • Documentation and Reporting : Users can generate detailed reports and documentation through the platform to record the design process and performance evaluation results of new materials.

Who should use CuspAI?

  • Materials Scientist : A researcher who studies and develops new materials and needs to design materials with specific properties.
  • Chemical engineers are professionals who work in the field of chemical engineering and need to develop new catalysts or improve existing processes.
  • Environmental scientists : Scientists who focus on environmental problems and solutions, including experts in carbon capture and storage technology research.
  • Energy Industry Experts : Professionals working in clean and sustainable energy technologies who need to develop new energy storage materials.
  • Educators and Students : In the academic education field, professors and students can use CuspAI as a learning and research tool.

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