Results 91 to 100 of about 20,531 (307)
Advanced Science, EarlyView.By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
, 2013 The conversion of solar energy into usable forms of energy such as electricity and heat is attractive given the abundance of solar energy and the numerous issues recently raised in the consumption of fossil fuels.
Ghani, Faisal Abid
core
Cell-To-Module (CTM) Analysis for Photovoltaic Modules with Cell Overlap
, 2020 Both, the interconnection of solar cells by ribbons and shingling are known to the solar industry. Typically cells interconnected with ribbons did not overlap while modules with shingled cells did not feature ribbons.
Mittag, Max +2 more
core +1 more source
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
Advanced Science, EarlyView.A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Efficiency Comparison of Different Photovoltaic Modules
Acta Technologica Agriculturae, 2019 Solar photovoltaic power generation capacity is rising continuously as a result of various regional, sub-regional renewable energy policies and the impact of technology development, as well as the increasing environmental concerns.
Kafui Atsu Divine +2 more
doaj +1 more source
PV Balancer --Concept, Architectures and Realization
, 2012 This thesis presents a new concept of module-integrated converters called PV balancers for photovoltaic applications. The proposed concept enables independent maximum power point tracking (MPPT) for each panel, and dramatically decreases the requirements
Zhou, Huimin
core +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
MATEC Web of Conferences, 2018 The operating temperature of the photovoltaic module is an important issue because it is directly linked with system efficiency. The objective of this work is to evaluate temperature distribution in the photovoltaic module under different environmental ...
Jaszczur Marek +4 more
doaj +1 more source
Sustainable Synaptic Device with Two‐Dimensional Ferroelectric Materials for Neuromorphic Computing
Advanced Science, EarlyView.α‐In2Se3 based FeSFETs can be utilized as sustainable devices through polarization switching governed by both out‐of‐plane and in‐plane polarizations. Upon reaching a fatigued state, current annealing enabled by conductance modulation can significantly enhance the endurance of FeSFETs.
Jaewook Yoo +12 more
wiley +1 more source
An Improved Mathematical Model for Computing Power Output of Solar Photovoltaic Modules
International Journal of Photoenergy, 2014 It is difficult to determine the input parameters values for equivalent circuit models of photovoltaic modules through analytical methods. Thus, the previous researchers preferred to use numerical methods.
Abdul Qayoom Jakhrani +4 more
doaj +1 more source