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Published in 2025 at "Advanced Electronic Materials"
DOI: 10.1002/aelm.202500312
Abstract: Perovskite solar cells (PSCs) are emerging as promising candidates for next‐generation photovoltaics due to their remarkable optoelectronic properties. In this study, SCAPS‐1D(Solar cell Capacitance Simulator) simulations are employed to evaluate the photovoltaic performance of a…
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Keywords:
efficiency;
simulation driven;
solar cell;
high efficiency ... See more keywords
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Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2017.07.127
Abstract: Abstract Active cooling of thermoelectric generators (TEGs) is problematic since mechanical devices such as pumps and fans draw a high proportion of the limited power generated. Increasing the coolant fluid flow rate is typically a…
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Keywords:
cooling system;
system;
liquid;
design ... See more keywords
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Published in 2023 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2023.3235676
Abstract: In this perspective, we discuss the important role of simulations in building state-of-the-art artificial intelligence (AI) systems. We first explain why simulations become vital in building complex AI systems. Then, we study some challenges and…
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Keywords:
driven artificial;
artificial actual;
actual vice;
simulation ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3184969
Abstract: This brief proposes a simulation-driven framework that exploits the Monte Carlo simulation and the linear regression method to fit the implicit relationship between the integral frequency deviation and the frequency reserve allocations during the primary…
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Keywords:
reserve;
frequency dynamic;
distributionally robust;
frequency ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3103412
Abstract: State-of-the-art deep learning models remain data-intensive, requiring large training datasets to ensure their generalization ability. However, in industry, it is quite expensive or impractical to obtain massive training samples for condition monitoring practitioners. This article…
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Keywords:
domain adaptation;
fault diagnosis;
adaptation;
driven domain ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3590833
Abstract: In real-world applications, machine learning-based ultrasonic guided wave (UGW) structural health monitoring (SHM) often faces challenges due to insufficient labeled data. In recent years, the pretrained models have been widely adopted to address the issue…
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Keywords:
physical simulation;
simulation driven;
simulation;
guided wave ... See more keywords
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Published in 2024 at "Journal of Computational and Nonlinear Dynamics"
DOI: 10.1115/1.4065015
Abstract: Preparing simulation-driven surrogates for a coupled mechanical system can be challenging because the associated mechanical and actuator dynamics demand high-fidelity numerical solutions. Introduced here is a surrogate-assisted universal actuator approach that can more easily make…
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Keywords:
simulation driven;
simulation;
surrogates coupled;
lumped fluid ... See more keywords
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Published in 2021 at "SIMULATION"
DOI: 10.1177/00375497211028605
Abstract: Wind turbines experience stochastic loading due to seasonal variations in wind speed and direction. These harsh operational conditions lead to failures of wind turbines, which are difficult to predict. Consequently, it is challenging to schedule…
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Keywords:
driven online;
wind farm;
maintenance;
simulation ... See more keywords
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Published in 2025 at "Mathematics"
DOI: 10.3390/math13233884
Abstract: Transfer learning, which utilizes extensive simulation data to overcome the limitations of scarce and expensive experimental data, has emerged as a powerful approach for predictive modeling in various physical domains. This study presents a comprehensive…
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Keywords:
transfer learning;
framework;
layer freezing;
simulation driven ... See more keywords
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Published in 2020 at "Metals"
DOI: 10.3390/met10121697
Abstract: This study focuses on the control of density and grain structure of a superelastic Ti-18Zr-14Nb (at. %) alloy subjected to laser powder bed fusion. It starts with the production and characterization of a Ti-18Zr-14Nb powder…
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Keywords:
18zr 14nb;
grain structure;
density grain;
density ... See more keywords