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Updated: Jan 13, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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一个机器学习和可解释的人工智能框架,通过对吸附物化学环境的有效表示来预测吸附能

Mohammadreza Karamad1,2, Aditya Biswas1

  • 1Department of Chemistry, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia V5A 1S6, Canada.

The Journal of chemical physics
|January 9, 2026
PubMed
概括

机器学习模型使用高斯多极 (GMP) 特性预测吸附能量,以改进催化剂选. 可解释的人工智能 (XAI) 揭示了电子结构和元素特性是准确的结合能预测的关键.

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