Results 91 to 100 of about 843,626 (294)
Analyzing Electronic Excitations and Exciton Binding Energies in Y6 Films
Advanced Functional Materials, EarlyView.The Y6 molecule is used for increasing the efficiency of organic solar cells. The exciton binding energy is calculated for ensembles of Y6 molecules that are representative of the typically used films. The calculations show that the excitons typically spread out over many molecules.
Sahar Javaid Akram +2 more
wiley +1 more source
Fuzzy Particle Swarm Optimization Algorithm for a Supplier Clustering Problem [PDF]
Journal of Optimization in Industrial Engineering, 2010 This paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. During recent years, determining suitable suppliers in the supply chain has become a key strategic consideration.
esmaeil Mehdizadeh +1 more
doaj
Bus Pooling: A Large-Scale Bus Ridesharing Service
IEEE Access, 2019 Ridesharing, a shared service that uses the information and knowledge matching, can efficiently utilize scattered social resources to reduce the demand for vehicles in urban road networks.
Kaijun Liu, Jingwei Zhang, Qing Yang
doaj +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Advanced Functional Materials, EarlyView.Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
APPROXIMATE ALGORITHMS FOR GRAPH CLUSTERING PROBLEM
Prikladnaya Diskretnaya Matematika, 2019 Summary: In the paper, the graph clustering problem is studied. For the version of the problem when the number of clusters does not exceed 3, we develop three approximate algorithms. The first algorithm uses as a procedure the known Coleman-Saunderson-Wirth algorithm which approximately solves the similar problem when the number of clusters does not ...
Il'ev, V. P. +2 more
openaire +2 more sources
Inactivating SARS‐CoV‐2 Virus with MOF‐Composites as Smart Face Masks
Advanced Functional Materials, EarlyView.In situ preparation and functionalization of MOF@Cotton fabrics as smart face masks for the immobilization of proteins and inactivation viruses, such as SARS‐CoV‐2. Abstract The significant impact of the SARS‐CoV‐2 (COVID‐19) pandemic outbreak on people's lives has highlighted the urgent need for effective personal protective equipment.
Romy Ettlinger +9 more
wiley +1 more source
Clustering in Hilbert space of a quantum optimization problem
, 2017 The solution space of many classical optimization problems breaks up into clusters which are extensively distant from one another in the Hamming metric.
Hsu, B. +4 more
core +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Application of Bio-inspired Metaheuristics in the Data Clustering Problem
CLEI Electronic Journal, 2011 Clustering analysis includes a number of different algorithms and methods for grouping objects by their similar characteristics into categories. In recent years, considerable effort has been made to improve such algorithms performance.
Thelma Elita Colanzi +6 more
doaj +1 more source
Data dimensionality reduction technique for clustering problem of metabolomics data. [PDF]
Heliyon, 2022 Rustam, Gunawan AY, Kresnowati MTAP.
europepmc +1 more source