Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
Volume-3 | Issue-2
Abstractive Summarization System
Volume-3 | Issue-4
Design of Adaptive Estimator for Nonlinear control system in Noisy Domain
Volume-3 | Issue-3
Automated Nanopackaging using Cellulose Fibers Composition with Feasibility in SEM Environment
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
EL DAPP - An Electricity Meter Tracking Decentralized Application
Volume-2 | Issue-1
SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
Volume-1 | Issue-1
ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
Volume-1 | Issue-1
Abstractive Summarization System
Volume-3 | Issue-4
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2
Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Volume - 1 | Issue - 2 | december 2019
Published
December, 2019
The attributes of the organic materials have made them more prominent in a wide range of applications engaged for large or small purpose such as the solar cells or the displays in the mobile devices. The solar cells developed using the organic semiconductors are more advantageous due to their flexibility and their easy installation. Despite the versatile nature of the and easy implementation the organic semiconductors still suffers from low efficiency in term of cost, performance and size. The proposed method incorporates the nanomaterials in the organic solar cell to improvise efficiency (performance) and to minimize the cost as well as the size of the solar cells. The proposed method replaces the semiconductor that is organic by incorporating the organic semiconductors with the nanoparticle additives to have a perfect blending in solution to improve the crystallizations of the semiconductor, and the uniformity thus improvising the power conversion efficiency in the solar cells and minimizing the size and the cost . The result acquired through evaluation proves the performance improvements to 19% form 3.5% in the solar cells.
KeywordsNanoparticles Organic Semiconductors Solar Cells Carbon Black Nanoparticle Titanium Dioxide Enhanced Performance
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