SciMaster

What is SciMaster

SciMaster is a general-purpose research agent launched by SJTU and SZTech, which provides researchers with efficient and convenient research support by integrating a variety of research tools and smart technologies.SciMaster supports a variety of application scenarios, including research on bottlenecks in quantum computation, analysis of exoplanet detection methods and results, molecular dynamics simulation in drug screening, collaborative learning of intelligences, and application of 2D materials in electronics, etc. SciMaster can generate detailed reports to help researchers quickly understand the progress and results of their research. SciMaster supports a variety of application scenarios, including quantum computing bottleneck research, exoplanet detection methods and results analysis, molecular dynamics simulation in drug screening, cooperative learning of intelligent bodies, and 2D materials in electronics, etc. SciMaster generates detailed research reports to help researchers understand the progress and results of their research and improve their efficiency.

Key Features of SciMaster

• multimodal searchSciMaster is able to search the whole Internet and a huge amount of scientific literature through WebSearch, WebParse and PaperSearch to collect relevant information, data, papers and patents.
• Expert-level reports: Based on the information retrieved, SciMaster can generate in-depth research reports to help researchers quickly understand the status and progress of their research areas.
• Tool Library SupportSciMaster integrates a wide range of science-specific tools, supporting both "active call" and "automatic call" methods. Researchers can actively call up the tools they need according to their task requirements, or SciMaster can automatically filter and call up the relevant tools.
• Thought Chain Editor: Researchers can pause SciMaster's reasoning process at any time to view its reasoning logic and make real-time adjustments to the task decomposition, execution order, and focus direction.
• Experimental ecological constructionSciMaster can directly call the MCP service provided by Uni-Lab, seamlessly integrating various laboratory instruments and software systems to build a complete "wet and dry closed-loop" experimental ecosystem covering software, hardware, researchers, and scientific research data.
• Detailed report generation: SciMaster generates a detailed scientific report showing all references with links for further research.
• Visualization Support: Help researchers understand complex information more intuitively through charts and data visualization.

How to use SciMaster

• Visit the official website: Visit the official SciMaster website.
• Register for an account: Click the Register button, fill in the email and basic information to apply for an invitation code. After receiving the invitation code, enter the verification code to complete the registration.
• put: Enter a specific scientific question in the platform's task entry box, e.g. "What is the typical process of molecular dynamics in drug screening?". Be as specific as possible and avoid vague statements.
• mission disassembly: SciMaster automatically breaks down the problem into multiple subtasks, such as searching the literature, analyzing the data, and so on. Users can view the disassembly details in the right toolbar.
• retrieval process: The system searches the web through WebSearch, WebParse parses web content, and PaperSearch retrieves 170 million documents. The search progress is displayed in real time, and users can pause to view intermediate results.
• Intervention mandateIf you are not satisfied with the logic of task splitting, you can click "Pause" to enter the thought chain editing interface to modify the task priority, search keywords or delete irrelevant sub-tasks.
• View ReportThe system generates a report with references, data and graphs after about 5 - 10 minutes. The report is divided into a "General Assistant" mode (concise overview) and an "In-depth Research" mode (detailed analysis), which can be selected by the user and exported in PDF or Word format.
• Scientific tool calls
  • unsolicited call: Enter a command in the task input box, such as "Use molecular dynamics tools to simulate protein folding", and SciMaster will call the corresponding tool and display the results.
  • automatic calling: After the question is entered, SciMaster automatically selects a tool based on the needs of the task.
• Experimental ecological support: SciMaster connects to lab equipment through Uni-Lab's MCP service. Users are required to set up the MCP service in theBohr (name)Register for a lab account and bind the equipment in SciMaster. After that, select "Experiment Management" module in SciMaster interface, upload experiment requirements, the system generates an experiment plan and calls the laboratory instruments to execute, and generates a report after the experiment is completed.

SciMaster's Product Advantages

• In-depth research capabilitiesSciMaster is able to deeply dissect and analyze complex scientific issues, collecting information from the entire Internet and 170 million scientific documents through three search methods: WebSearch, WebParse and PaperSearch. The in-depth research reports generated not only contain rich literature citations, but also provide detailed analysis and conclusions to help researchers quickly understand the current status and progress of their research areas.
• Flexible tool invocationSciMaster supports two modes: "active call" and "automatic call", researchers can actively call the required scientific computing tools according to the task requirements, or the system can automatically screen and call the relevant tools. SciMaster can be adapted to the needs of different researchers and improve the efficiency of scientific research.
• Thought Chain Editing FeaturesResearchers can pause at any time during the execution of a task in SciMaster to review the logic of reasoning and make changes to the logic and content of the task. This "human in the loop" interaction ensures the transparency and control of the research process.
• Closed-loop support for dry and wet experimentsSciMaster can directly call the MCP service provided by Uni-Lab, seamlessly integrating all kinds of laboratory instruments and software systems, and building a complete "wet and dry closed-loop" experimental ecosystem covering software, hardware, researchers and scientific research data. It fills the gap of AI scientific research tools in experimental verification.
• Open source and ecologization: SciMaster embraces the concept of open source and openness, accesses the DeepModeling open source community, and supports the upgrading of existing scientific computing tools into intelligences. It lowers the threshold of tool development and promotes deep collaboration between different disciplines and organizations.
• Efficient knowledge integration and traceabilitySciMaster relies on Bohr Research Space Station's 170 million document database and combines real-time information from the Internet to build a dual-source knowledge map. The core module InfoMaster ensures the reliability and timeliness of the information through literature traceability, cross-validation and dynamic updating mechanism.
• Collaborative interdisciplinary support: SciMaster breaks down disciplinary barriers and supports the collaboration of multidisciplinary researchers. By integrating a wide range of science-specific tools, it meets the research needs of different subject areas, such as materials science, biomedicine and chemistry.

SciMaster application scenarios

SciMaster's application scenarios include: quantum computing bottlenecks, SciMaster may help researchers find solutions through data analysis and model optimization. Exoplanet detection, in astronomy, SciMaster may assist research by analyzing observational data and simulation results. Molecular Dynamics in Drug Screening, In drug discovery, molecular dynamics simulations are key to understanding drug interactions with biological targets, and SciMaster may accelerate this process through efficient data processing and simulation optimization. Cooperative Learning of Intelligents, In the field of Artificial Intelligence, cooperation between intelligents is an important research direction. sciMaster may explore this issue by simulating and optimizing the behavior of intelligents.