Results 141 to 150 of about 126,667 (310)
Advanced Energy Materials, EarlyView.A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan +12 more
wiley +1 more source
Flat-plate solar array project. Volume 1: Executive summary [PDF]
In 1975, the U.S. Government contracted the Jet Propulsion Lab. to develop, by 1985, in conjunction with industry, the photovoltaics (PV) module and array technology required for widespread use of photovoltaics as a significant terrestrial energy source.
Callaghan, W., Mcdonald, R.
core +1 more source
Smart sun tracking with automated cleaning system for PV modules [PDF]
, 2012 Solar power is one of environment friendly power source. It is characterized by being highly dependent on the radiation level which is function of sun position at the sky.
Amirah Afiqah, Ahmed
core
Advanced Energy Materials, EarlyView.This study reports a packaging strategy for perovskite photovoltaic devices using atomic layer deposition (ALD) of aluminum oxide. Through optimization of deposition temperature and oxidant chemistry, researchers develop a 50 nm barrier layer with superior water vapor (WVTR) and oxygen transmission rates (OTR).
Melissa A. Davis +11 more
wiley +1 more source
Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union
Advanced Energy and Sustainability Research, EarlyView.This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Study and Analysis of Distributed Maximum Power Point Tracking Under Partial Shading Conditions [PDF]
, 2015 Photovoltaic (PV) energy generation is becoming an increasingly widespread means of producing clean and renewable power. In PV systems, long strings of photovoltaic modules are found to be vulnerable to shading effects, causing significant reduction in ...
Chaitanya , Vadigi
core
Advanced Intelligent Discovery, EarlyView.Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
Data on the I-V characteristics related to the SM55 monocrystalline PV module at various solar irradiance and temperatures. [PDF]
Data Brief, 2019 Chaibi Y +3 more
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source