SciMaster reduces the difficulty of using the tool through a dual-call mechanism:
- active calling mode: Directly input natural language commands (e.g., "Use molecular dynamics to simulate protein folding"), and the system automatically matches the appropriate tool.
- Intelligent Recommendation Model: automatic identification of requirements when a problem is posed (e.g., invocation of material calculation tools when analyzing 2D material properties)
- visualization output: Calculation results are presented in interactive charts and graphs, which can be saved to your personal knowledge base for reuse.
This solution is particularly suitable for researchers who need to quickly validate hypotheses, and case studies show that drug screening teams have used this to shorten the development cycle of 30%.
This answer comes from the articleSciMaster: an intelligent assistant to assist research and generate research reportsThe
May not be reproduced without permission:AI productivity tools " Removing the Learning Barrier to Complex Scientific Computing Tools
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