Which research scenarios does SCNet.AI target: life science, industry, or chemistry?

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SCNet.AI targets three research scenarios: life science, industrial manufacturing, and physical and chemical research.
SCNet.AI is designed as a global AI and HPC computing service platform that covers three core research scenarios. It specifically targets Life Science and Bioinformatics, Industrial Manufacturing, and Physical and Chemical Research, rather than focusing on only one area such as life science alone.
Life Science and Bioinformatics is tailored for biopharma and universities
The Life Science and Bioinformatics scenario is tailored for biopharma firms and universities. This coverage is positioned as a dedicated track within SCNet.AI’s overall research computing platform.
Industrial Manufacturing focuses on CFD and FEA for automotive and semiconductors
The Industrial Manufacturing scenario is built around CFD fluid simulation and FEA finite element analysis. It is stated to serve sectors including automotive and semiconductor industries.
Physical and Chemical Research uses molecular dynamics for materials and new energy
The Physical and Chemical Research scenario centres on molecular dynamics simulation. It is described for researchers in materials and new energy sectors.
The platform frames coverage as AI4S computing access across these three tracks
SCNet.AI is presented as an AI4S computing service that unifies an ecosystem of research software and supports end-to-end technical support, from environment deployment to task tuning. Within that framework, the three named scenario tracks—life science and bioinformatics, industrial manufacturing, and physical and chemical research—define the scope of its research coverage.

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Which research scenarios does SCNet.AI target: life science, industry, or chemistry?

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