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Patsnap Eureka Materials

Eureka Materials quickly extracts optimal material and alloy candidates using AI agents, accelerating decision-making.

Patsnap Eureka Material is a group of AI agents that dramatically enhances the efficiency of material exploration and alloy research in the fields of chemistry, materials, and metals. Utilizing a unique structured data model (SPUM / MACE) and PatsnapGPT, it automates the search, comparison, and reporting based on physical properties and compositions. It resolves challenges faced by researchers, such as "time for material selection," "information dispersion," and "difficulty in comparison," in just a few minutes. **Features** - Material exploration based on physical properties, compositions, and applications: Narrow down material candidates using numerical filters (e.g., thermal conductivity, tensile strength, etc.). - Structured material data from patents and literature: High-accuracy information extraction is possible with the unique models SPUM and MACE. - Generated report format: Outputs analysis results in a format that can be directly used for proposals and reports, combining text with visual information (such as box plots). - Simple operation by just entering prompts in natural language: No need to create search queries, allowing anyone to conduct specialized material exploration.

Related Link - https://patcore.com/product/patsnap-eureka#anchor_…

basic information

Patsnap Eureka Material is a next-generation material research AI that streamlines the "search, compare, and decide" process in R&D for materials and metals. It eliminates the need for complex search queries, automatically outputting structured data and insights with just natural language input. This tool significantly reduces the workload while ensuring high-quality selection and design decisions, making it an ideal support tool for materials researchers. ■Material Scout Automatically searches and analyzes materials that match the specified physical properties and usage conditions provided by the user, generating comparison reports. The comparison reports are produced in collaboration with SPUM (a model for extracting physical property data from patents and literature) and PatsnapGPT, outputting text and box plots. ■Alloy Researcher Based on the user's interest in specific metal elements, it extracts and classifies alloy compositions, applications, and properties, creating highly organized reports. With MACE (a model for extracting metal compositions from patents) and PatsnapGPT, searches including weight ratio information are possible.

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Eureka by Patsnap

Applications/Examples of results

■Material Scout Automates the comparison research of materials and report creation, speeding up decision-making. It handles comparisons that were difficult with traditional manual research in bulk, saving 2 to 4 hours of research time with a single search. ■Alloy Researcher Automates the understanding and classification of metal compositions, providing insights useful for design and research. It automates the comparison of alloy compositions and applied research, which was difficult to organize manually, reducing work time by 3 to 5 hours per week.

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