AI–nano-driven surface-enhanced Raman spectroscopy for marketable technologies

IF 38.1 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Nature nanotechnology Pub Date : 2024-12-05 DOI:10.1038/s41565-024-01825-9

Jun Yi, En-Ming You, Guo-Kun Liu, Zhong-Qun Tian

引用次数: 0

Abstract

The 50th anniversary of its discovery underscores surface-enhanced Raman spectroscopy (SERS) as one of the oldest and most dynamic branches of nanoscience and nanotechnology. The time has come for nanostructure-based SERS to integrate artificial intelligence (AI) tools and overcome current commercialization challenges.

Abstract Image

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Nature nanotechnology 工程技术-材料科学：综合

CiteScore

59.70

自引率

0.80%

发文量

196

审稿时长

4-8 weeks

期刊介绍： Nature Nanotechnology is a prestigious journal that publishes high-quality papers in various areas of nanoscience and nanotechnology. The journal focuses on the design, characterization, and production of structures, devices, and systems that manipulate and control materials at atomic, molecular, and macromolecular scales. It encompasses both bottom-up and top-down approaches, as well as their combinations. Furthermore, Nature Nanotechnology fosters the exchange of ideas among researchers from diverse disciplines such as chemistry, physics, material science, biomedical research, engineering, and more. It promotes collaboration at the forefront of this multidisciplinary field. The journal covers a wide range of topics, from fundamental research in physics, chemistry, and biology, including computational work and simulations, to the development of innovative devices and technologies for various industrial sectors such as information technology, medicine, manufacturing, high-performance materials, energy, and environmental technologies. It includes coverage of organic, inorganic, and hybrid materials.