This study presents bismuth ferrite nanoparticle (BFO) modified carbon paste electrodes (BFO/CPEs) for the determination of lead and cadmium.

Sulfurized BiFeO3 (BFO) thin films have been investigated with the purpose of reducing their band gap for photovoltaic applications. A strong dependence of the degree of sulfurization on the structure and optical properties of the BFO thin films was observed. The sulfurization process substantially reduced the optical band gap from 2.83 eV for the reference sample to ∼1.90 eV in a sample sulfur...

Given the paucity of single phase multiferroic materials (with large ferromagnetic moment), composite systems seem an attractive solution to realize magnetoelectric coupling between ferromagnetic and ferroelectric order parameters. Despite having antiferromagnetic order, BiFeO3 (BFO) has nevertheless been a key material due to excellent ferroelectric properties at room temperature. We studied a...

Remarkably enhanced photovoltaic effects have been observed in the heterostructures of p-type A-site Nd3+-doped BiFeO3 (Bi0.9375Nd0.0625)FeO3 (or BFONd) polycrystalline ceramics and the n-type ITO thin film. The maximum power conversion is ~0.82%, which is larger than 0.015% in BiFeO3 (BFO) under blue-ultraviolet irradiation of wavelength λ = 405 nm. The current-voltage (I-V) characteristic cur...

Clustering is the unsupervised learning in which the data is divided into similar groups (cluster) without any prior knowledge. The emerging swarm-based algorithms become an alternative to the conventional clustering methods to enhance the quality of results. Artificial Bee Colony (ABC) Algorithm is one of the Swarm Intelligent based optimization algorithm that exhibit foraging properties of a ...

In order to solve the analysis problem more efficiently and quickly, we presented a hybrid method based on LS-SVM and Bacterial Foraging Optimization (BFO) in this study.The social foraging behavior of Escherichia coli bacteria has been used to solve optimization problems. This paper proposes a hybrid approach involving Bacteria Foraging Optimization Algorithm (BFO) and LS-SVM algorithms for pr...

My dissertation work was focused on developing a method for evaluating and standardizing ontologies, based on an integration of the Basic Formal Ontology (BFO) and OntoClean [1]. The primary objective is to help standardize the creation of ontologies for the Open Biomedical Ontologies (OBO) Foundry, for which BFO is the chosen upper ontology, given that there are no formal criteria that candida...

CoFe(2)O(4) (CFO)-BiFeO(3) (BFO) nanocomposites are an intriguing option for future memory and logic technologies due to the magnetoelectric properties of the system. However, these nanocomposites form with CFO pillars randomly located within a BFO matrix, making implementation in devices difficult. To overcome this, we present a technique to produce patterned nanocomposites through self-assemb...

We have proposed the development of highly-structured scientific research reports (e.g., [1]) as well as highly-structured descriptions of historical events on which historical analyses can be based [3]. Because structured revisions to knowledge are integral to scientific research and analytical histories, such reports and descriptions should support the ability to describe, justify, and ultima...

Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria, but it is difficult to optimize to get a high precision due to the randomness of the bacterial behavior, which belongs to intelligence algorithm. This paper presents an extended BFO algorithm, namely the Cooperative Bacterial Foraging Optimization (CBFO), which sign...