Results 111 to 120 of about 22,692 (310)

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

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, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Investigating the Effect of Albedo in Simulation-Based Floating Photovoltaic System: 1 MW Bifacial Floating Photovoltaic System Design

Energies
Photovoltaic (PV) modules have emerged as a promising technology in the realm of sustainable energy solutions, specifically in the harnessing of solar energy.
Atıl Emre Cosgun, Hasan Demir
doaj   +1 more source

Thermomechanics of photovoltaic modules

, 2011
In einem kristallinen Photovoltaikmodul sind Solarzellen aus bruchanfälligen Siliziumwafern elektrisch miteinander verbunden und in einem transparenten Polymer (EVA) zwischen Glas und einer Rückseitenfolie eingebettet. Während der Lebensdauer eines solchen Moduls treten Temperaturschwankungen auf, die auf Grund der unterschiedlichen thermischen ...
openaire   +2 more sources

Grid-connected photovoltaic module and array sizing based on an iterative approach

, 2014
This paper deals with the sizing of a simple but efficient grid-connected photovoltaic (GCPV) system to minimize the difference between the electrical energy generated by the GCPV system and the required energy.
Rotaru, M., Al-Enezi, F.Q., Sykulski, J.K.   +2 more
core  

Development of a resistivity standard for polymeric materials used in photovoltaic modules

, 2015
Publisher Copyright: © 2015 COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.Photovoltaic (PV) modules, operate at high voltages and elevated temperatures, and are known to degrade because of leakage current to ground ...
Michael D. Kempe, Jayesh G. Bokria, Dylan L. Nobles, Birchmier, Jeff, Zubillaga, Oihana, Toshio Yoshihara, Oihana Zubillaga, Wohlgemuth, John H., Tsuyoshi Shioda, David C. Miller, John H. Wohlgemuth, Nanjundiah, Kumar, Jeff Birchmier, Nobles, Dylan L., Kumar Nanjundiah, John Tucker, Shioda, Tsuyoshi, Bokria, Jayesh G., Miller, David C., Tucker, John, Kempe, Michael D., Sakurai, Keiichiro, Yoshihara, Toshio, Keiichiro Sakurai   +23 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, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Grid Tie Inverter in Photovoltaic System for Residential Application

, 2010
This paper presents a grid tie inverter (GTI) in photovoltaic, PV system for residential application. The proposed GTI will be switched with a combination switching strategy of square wave and the sinusoidal pulse width modulation, SPWM.
Tan, kheng kwang
core  

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, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Helical interfacial modulation for perovskite photovoltaics

Nanoscale Advances
Helical modulators improve the operational stability of perovskite solar cells without a significant effect on photovoltaic characteristics, challenging the role of chiral interfacial modulators in hybrid perovskite photovoltaics.
Alsabeh, Ghewa, Almalki, Masaud, Kasemthaveechok, Sitthichok, A. Ruiz-Preciado, Marco, Zhang, Hong, Vanthuyne, Nicolas, Zimmermann, Paul, M. Dekker, Daphne, Thomas Eickemeyer, Felix, Hinderhofer, Alexander, Schreiber, Frank, Zakeeruddin, Shaik, Ehrler, Bruno, Crassous, Jeanne, Milic, Jovana V., Grätzel, Michael   +15 more
openaire   +3 more sources

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, Seokjin Oh, Minah Park, Jong Min Song, Hongseung Lee, Seohyeon Park, Sojin Jung, Seongbin Lim, Soohyun Lim, Dongsun Shin, Ji Won Heo, TaeWan Kim, Hagyoul Bae   +12 more
wiley   +1 more source