Results 131 to 140 of about 24,966 (315)

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
wiley   +1 more source

Comparative Analysis of Material Efficiency and the Impact of Perforations on Heat Sinks for Monocrystalline Photovoltaic Panel Cooling

open access: yesEnergies
In this research, the design and simulation of a heat sink for photovoltaic panels were carried out using aluminum and copper, the most commonly used materials in heat dissipation systems. This heat sink consisted of fins that were tested both perforated
Raúl Cabrera-Escobar   +6 more
doaj   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Experimental and Numerical Study on Air Cooling System Dedicated to Photovoltaic Panels

open access: yes
The efficiency of solar systems, in particular photovoltaic panels, is typically low. Various environmental parameters affect solar panels, including sunlight, the ambient and module surface temperatures, the wind speed, humidity, shading, dust, the ...
Maksymilian Homa   +2 more
core   +1 more source

Localized Heterogeneous Nucleation for Vapor‐Assisted Sequential Deposition of Metal Halide Perovskites

open access: yesAdvanced Energy Materials, EarlyView.
A compact, nonporous, and highly crystalline layered inorganic precursor formed by thermal evaporation inherently restricts its conversion into the halide perovskite phase during vapor‐assisted hybrid two‐step deposition. Introducing localized heterogeneous nucleation sites during vapor deposition enables deliberate modulation of the inorganic layer's ...
Sung‐Eun Kim   +10 more
wiley   +1 more source

An accurate method for the PV Model identification based on a genetic algorithm and the interior-point method

open access: yes, 2014
Due to the PV module simulation requirements as well as recent applications of model-based controllers, the accurate photovoltaic (PV) model identification method is becoming essential to reduce the PV power losses effectively.
Alireza Maheri (16272944)   +5 more
core   +1 more source

Multiscale Perspectives on Perovskite Instability: From Atomistic Deformation to Device Degradation in Perovskite Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee   +6 more
wiley   +1 more source

Power generation potential of PV panels on building facades — facing cardinal directions in tropical climatic conditions

open access: yesSolar Energy Advances
Building Integrated Photovoltaic panels is the future where every building can be self-reliant by producing energy in either a fraction of its need or fully equal to its sustenance. An experimental setup was established to understand the solar insolation
S.B. Karuppannan, B.N. Rao, K.S. Reddy
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Existing evidence on the effects of photovoltaic panels on biodiversity: a systematic map with critical appraisal of study validity. [PDF]

open access: yesEnviron Evid, 2023
Lafitte A   +9 more
europepmc   +1 more source

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