Results 61 to 70 of about 1,222,146 (252)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Mathematics-Driven Analysis of Offshore Green Hydrogen Stations
Renewable energy technologies have become an increasingly important component of the global energy supply. In recent years, photovoltaic and wind energy have been the fastest-growing renewable sources.
Álvaro García-Ruiz +2 more
doaj +1 more source
Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang +14 more
wiley +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Recent Progress in Floating Solar Photovoltaic Systems: A Review from Malaysia’s Perspective
Floating solar photovoltaic (FPV) technology has been gaining popularity in various parts of the world to address the growing clean energy demand and land scarcity challenges posed by conventional solar PV installations.
Siow Chun Lim +3 more
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Reliability evaluation of III-V concentrator solar cells [PDF]
Concentrator solar cells have been proposed as an interesting way of reducing the cost of photovoltaic electricity. However, in order to compete with conventional solar modules it is necessary not only to reduce costs but also to evaluate and increase ...
González, Jose R. +4 more
core
Investigating the effect of solar modelling using different solar irradiation data sets/sources within South Africa [PDF]
Includes bibliographical references (leaves63-64).When designing a solar energy system, accurate solar data for the specific site in which one plans to install the system is required to accurately determine the sizing of the system components based on ...
Dekker, Justin
core +1 more source
Photovoltaics is already a billion dollar industry. It is experiencing rapid growth as concerns over fuel supplies and carbon emissions mean that governments and individuals are increasingly prepared to ignore its current high costs. It will become truly
Boreland, Matt, Bagnall, Darren M
core +1 more source
Floating photovoltaic (PV) systems enable solar energy generation on water bodies, alleviating land scarcity whilst providing potential cooling and reflection benefits that enhance panel performance.
Erold J. Baeren +1 more
doaj +1 more source

