AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work evaluated the agreement between LLMs and expert chemists on holistic evaluations of the retrosynthetic routes and found no agreement on holistic evaluations of the retrosynthetic routes.
This review examines how artificial intelligence (AI) is reshaping the computational design and modeling of OEEM materials, tracing the field's shift from small redox‐active molecules toward polymeric electrolytes and electrodes and provides a perspective on where the field is heading.
It is demonstrated that CV R² computed from as few as 50 labeled peptides can be sufficient to estimate final active learning end-point performance, providing a practical, data-efficient criterion for deciding whether a given dataset combined with SCARSE is suitable for iterative peptide discovery.
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