The lack of chemical understanding and efficient catalysts impedes the development of
electrocatalytic nitrogen reduction reaction (eNRR) for ammonia production. In this work, we …

This paper reports a controlled study with statistical significance tests on five text categorization
methods: the Support Vector Machines (SVM), a k-Nearest Neighbor (kNN) classifier, a …

In this paper, we propose a novel document clustering method based on the non-negative
factorization of the term-document matrix of the given document corpus. In the latent semantic …

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …

Recent advances in material innovation and structural design provide routes to flexible hybrid
electronics that can combine the high‐performance electrical properties of conventional …

Rice is a staple crop that has undergone substantial phenotypic and physiological changes
during domestication. Here we resequenced the genomes of 40 cultivated accessions …

Using friction force microscopy, we compared the nanoscale frictional characteristics of
atomically thin sheets of graphene, molybdenum disulfide (MoS 2 ), niobium diselenide, and …

The sp 2 ‐hybridized nanocarbon (eg, carbon nanotubes (CNTs) and graphene) exhibits
extraordinary mechanical strength and electrical conductivity but limited external accessible …

The rational combination of conductive nanocarbon with sulfur leads to the formation of
composite cathodes that can take full advantage of each building block; this is an effective way to …

Simultaneous Localization and Mapping (SLAM) is considered to be a fundamental capability
for intelligent mobile robots. Over the past decades, many impressed SLAM systems have …