Nano-scaled Advanced Materials for Antimicrobial Applications – Mechanistic Insight, Functional Performance Measures, and Potentials Towards Sustainability and Circularity

Constantin Christ, Alrun Waldl, Yingnan Liu,Litty Johnson, Vanessa Auer,Olavo Cardozo,Patricia M. A. Farias, Arnaldo C. D. S. Andrade,Andreas Stingl, Martin Himly,Benjamin Punz, Su Li,Guocheng Wang,Yang Li

Environmental Science Nano（2025）

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Abstract

About 13.7 million people died worldwide from infectious diseases in 2019 which accounts for one fifth of all annual deaths. Infectious diseases are caused by microbes (i.e. bacteria, fungi, viruses)...

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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【要点】：本文探讨了纳米级先进材料在抗菌应用中的机理、功能性能测量及其向可持续性和循环经济方向的潜力。

【方法】：作者通过综合分析纳米材料的抗菌机制、性能评估方法，以及这些材料在环境中的行为和循环利用的可能性。

【实验】：研究使用了多种纳米材料，并通过实验验证了其抗菌效果，具体数据集名称未在摘要中提及。