Výsledky vyhľadávania - "Physics-based Models"
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Toward the Integration of Machine Learning and Molecular Modeling for Designing Drug Delivery Nanocarriers
ISSN: 0935-9648, 1521-4095, 1521-4095Vydavateľské údaje: Germany Wiley Subscription Services, Inc 01.11.2024Vydané v Advanced materials (Weinheim) (01.11.2024)“…The pioneering work on liposomes in the 1960s and subsequent research in controlled drug release systems significantly advances the development of nanocarriers…”
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Machine Learning for the Geosciences: Challenges and Opportunities
ISSN: 1041-4347, 1558-2191Vydavateľské údaje: New York IEEE 01.08.2019Vydané v IEEE transactions on knowledge and data engineering (01.08.2019)“…Geosciences is a field of great societal relevance that requires solutions to several urgent problems facing our humanity and the planet. As geosciences enters…”
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Modeling Time-varying Reliability and Resilience of Deteriorating Infrastructure
ISSN: 0951-8320, 1879-0836Vydavateľské údaje: Barking Elsevier Ltd 01.01.2022Vydané v Reliability engineering & system safety (01.01.2022)“…•Modeling of the physical state and functionality of deteriorating infrastructure.•Effects of deterioration on the ability of infrastructure to recover after…”
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Lithium-ion battery digitalization: Combining physics-based models and machine learning
ISSN: 1364-0321Vydavateľské údaje: Elsevier Ltd 01.08.2024Vydané v Renewable & sustainable energy reviews (01.08.2024)“…Digitalization of lithium-ion batteries can significantly advance the performance improvement of lithium-ion batteries by enabling smarter controlling…”
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Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods
ISSN: 2352-152X, 2352-1538Vydavateľské údaje: Elsevier Ltd 01.12.2022Vydané v Journal of energy storage (01.12.2022)“…Lithium-ion batteries are a popular choice for a wide range of energy storage system applications. The current motivation to improve the robustness of…”
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Two-stage physics-based Wiener process models for online RUL prediction in field vibration data
ISSN: 0888-3270, 1096-1216Vydavateľské údaje: Berlin Elsevier Ltd 01.05.2021Vydané v Mechanical systems and signal processing (01.05.2021)“…•We propose the two-stage physics-based Wiener process models.•An online stage division principle is developed to detect the change point.•An online remaining…”
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A continuum of physics-based lithium-ion battery models reviewed
ISSN: 2516-1083Vydavateľské údaje: IOP Publishing 01.10.2022Vydané v Progress in energy (01.10.2022)Získať plný text
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Do all roads lead to Rome? A comparison of knowledge-based, data-driven, and physics-based surrogate models for performance-based early design
ISSN: 0141-0296, 1873-7323Vydavateľské údaje: Elsevier Ltd 01.07.2023Vydané v Engineering structures (01.07.2023)“…•The relative capabilities knowledge-based, machine learning-based, and mechanistic surrogate models are compared to estimate the life-cycle seismic loss of…”
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Lithium‐ion battery state‐of‐charge estimation of an order‐reduced physics‐based model in electric vehicles considering erroneous initialization
ISSN: 0363-907X, 1099-114XVydavateľské údaje: Chichester, UK John Wiley & Sons, Inc 10.03.2022Vydané v International journal of energy research (10.03.2022)“…Summary Intelligent battery management systems (BMSs) require immediate and precise state of charge (SoC) estimation of the lithium‐ion cell for efficient use…”
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Information-theoretic and Bayesian model selection for physics-based modeling: Balancing fit, complexity, and generalization
ISSN: 0020-0255Vydavateľské údaje: Elsevier Inc 01.02.2026Vydané v Information sciences (01.02.2026)“…•Review information-theoretic and Bayesian criteria for model selection.•Address the trade-off between model fit, complexity, and generalization.•Investigate…”
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Predictive maintenance approaches: A systematic literature review
ISSN: 2013-8423, 2013-0953Vydavateľské údaje: OmniaScience 22.09.2025Vydané v Journal of industrial engineering and management (22.09.2025)“…Purpose: Predictive maintenance (PdM) aims to optimize maintenance operations by detecting operational anomalies and potential equipment failures before they…”
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Review of modeling methods for HVAC systems
ISSN: 1359-4311Vydavateľské údaje: Kidlington Elsevier Ltd 01.06.2014Vydané v Applied thermal engineering (01.06.2014)“…This work presents the literature review of the methods used to model the heating, ventilation, and air conditioning (HVAC) systems. The model development is…”
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Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials
ISSN: 1047-4838, 1543-1851Vydavateľské údaje: New York Springer US 01.01.2021Vydané v JOM (1989) (01.01.2021)“…Using a large-scale, experimentally captured 3D microstructure data set, we implement the generative adversarial network (GAN) framework to learn and generate…”
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Advancements in battery state prediction methods: A comprehensive review of data-driven approaches and degradation mechanisms
ISSN: 0378-7753Vydavateľské údaje: Elsevier B.V 15.12.2025Vydané v Journal of power sources (15.12.2025)“…Predicting the state of lithium-ion batteries (LIBs) plays a vital role in proactively identifying aging and damage, thereby enabling timely maintenance and…”
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ASM GaN: Industry Standard Model for GaN RF and Power Devices-Part-II: Modeling of Charge Trapping
ISSN: 0018-9383, 1557-9646Vydavateľské údaje: New York IEEE 01.01.2019Vydané v IEEE transactions on electron devices (01.01.2019)“…Because of charge trapping in GaN HEMTs, dc characteristics of these devices are not representative of high-frequency operation. The advanced spice model GaN…”
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Impacts of climate change and meteo-solar parameters on photosynthetically active radiation prediction using hybrid machine learning with Physics-based models
ISSN: 0273-1177, 1879-1948Vydavateľské údaje: Elsevier B.V 01.12.2022Vydané v Advances in space research (01.12.2022)“…The photosynthetically active radiation (PAR) ratio of 0.45 has been applied in numerous ecological studies to convert global solar radiation (H) to PAR by…”
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Application of transfer learning on physics-based models to enhance vessel shaft power predictions
ISSN: 0029-8018Vydavateľské údaje: Elsevier Ltd 15.04.2025Vydané v Ocean engineering (15.04.2025)“…International shipping must reduce its emissions to meet global targets, with improving energy efficiency being a crucial step in this journey. Predictive…”
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Some Challenges and Opportunities in Reliability Engineering
ISSN: 0018-9529, 1558-1721Vydavateľské údaje: New York IEEE 01.12.2016Vydané v IEEE transactions on reliability (01.12.2016)“…Today's fast-pace evolving and digitalizing World is posing new challenges to reliability engineering. On the other hand, the continuous advancement of…”
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Theoretical insights into the impact of border and interface traps on hysteresis in monolayer MoS2 FETs
ISSN: 0167-9317Vydavateľské údaje: Elsevier B.V 15.09.2025Vydané v Microelectronic engineering (15.09.2025)“…Threshold voltage hysteresis ΔVh in two-dimensional transistor transfer characteristics poses a bottleneck in achieving stable 2D CMOS integrated circuits…”
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Peatland dynamics: A review of process-based models and approaches
ISSN: 0048-9697, 1879-1026, 1879-1026Vydavateľské údaje: Netherlands Elsevier B.V 15.06.2023Vydané v The Science of the total environment (15.06.2023)“…Despite peatlands' important feedbacks on the climate and global biogeochemical cycles, predicting their dynamics involves many uncertainties and an…”
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