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Papers matching “model accuracy” 70

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Understanding Performance Decay in Solid Oxide Electrolysis Cells: Benchmarking and Analyzing a Model for Experiment-Driven Modeling
2025 ECS Meeting Abstracts conference-abstract Materials Science Advancements in Solid Oxide Fuel Cells

Niklas Eyckeler, Till Frömling, Rüdiger‐A. Eichel

0

citations
Objectivity and accuracy enhancement within ANN‐based multiscale material modeling
2023 PAMM article Materials Science Machine Learning in Materials Science Open access

Yousef Heider, WaiChing Sun

3

citations
Enhancing Predictive Accuracy Under Data Scarcity: Modeling Molecular Interactions to Describe Sealing Material Compatibility with Bio-Hybrid Fuels
2025 Physchem article Materials Science Machine Learning in Materials Science Open access

Lukas Boden, Faras Brumand‐Poor, Linda Pleninger, Katharina Schmitz

0

citations
A novel thermo‐mechanically coupled material model for glass above the glass transition temperature
2023 PAMM article Materials Science Glass properties and applications Open access

Skadi Bögershausen, Hagen Holthusen, Sebastian Felder, Tim Brepols, Anh Tuan Vu, Tim Grunwald, +1 more

2

citations
A machine learning model for nuclear Hessians based on GFN2-xTB-derived atomistic features
2026 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Gereon Feldmann, Pit Steinbach, Christoph Bannwarth

0

citations
Time-domain iron loss estimation using the parametric magneto dynamic model: Discretisation sensitivity and a skin-depth-based heuristic
2026 Serbian Journal of Electrical Engineering article Materials Science Magnetic Properties and Applications Open access

Timo Hörmann, Ermin Rahmanović, Danilo G. Aurich, Martin Petrun, Simon Steentjes

0

citations
Prediction of hysteresis losses by an advanced vector hysteresis stop model with threshold surfaces
2022 COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering article Materials Science Magnetic Properties and Applications

Xiao Xiao, Fabian Müller, Martin Marco Nell, Kay Hameyer

2

citations
A Model for Characteristic X-Ray Emission in Electron Probe Microanalysis Based on the (Filtered) Spherical Harmonic () Method for Electron Transport
2022 Microscopy and Microanalysis article Materials Science Electron and X-Ray Spectroscopy Techniques

Jonas Bünger, Silvia Richter, Manuel Torrilhon

6

citations
A Model for Characteristic X-Ray Emission in Electron Probe Microanalysis based on the Spherical Harmonic (PN) Method for Electron Transport
2021 Preprints.org preprint Materials Science Electron and X-Ray Spectroscopy Techniques Open access

Jonas Buenger, Silvia Richter, Manuel Torrilhon

0

citations
Model-Based Prediction of the Tensile Properties of Polypropylene Films Made from Recycled Materials
2025 Polymers article Materials Science Machine Learning in Materials Science Open access

Marius Stieglitz, Sonja Adomeit, Karina Hettwer, Anja Schlierf, Steffen Uhlig, Sarah David, +1 more

3

citations
Embedding an ANN-Based Crystal Plasticity Model into the Finite Element Framework using an ABAQUS User-Material Subroutine
2024 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Yousef Heider, Bernd A. Markert

0

citations
High accuracy testbed for thermoelectric module characterization
2020 Energy Conversion and Management article Materials Science Advanced Thermoelectric Materials and Devices Open access

Carlo Guarnieri Calò Carducci, Maurizio Spadavecchia, Filippo Attivissimo

11

citations
Machine learning-based predictions of form accuracy for curved thin glass by vacuum assisted hot forming process
2023 conference-paper Materials Science Machine Learning in Materials Science Open access

Paul-Alexander Vogel, Anh Tuan Vu, Hendrik Mende, Shrey Gulati, Tim Grunwald, Robert Heinrich Schmitt, +1 more

5

citations
REAL-TIME MODELS OF VALVE SOLENOIDS: AN EVALUATION OF MEASUREMENT AND SIMULATION-BASED PARAMETER IDENTIFICATION
2024 conference-paper Materials Science Magnetic Properties and Applications Open access

Simon Hucko, Xiaosha Tao, Katharina Schmitz

1

citations
Triple junction benchmark for multiphase-field models combining capillary and bulk driving forces
2024 Modelling and Simulation in Materials Science and Engineering article Materials Science Solidification and crystal growth phenomena Open access

Paul Wilhelm Hoffrogge, Simon Daubner, Daniel Schneider, Britta Nestler, Janin Eiken

11

citations
Comparing mesoscopic models for dendritic growth
2020 IOP Conference Series Materials Science and Engineering conference-paper Materials Science Solidification and crystal growth phenomena Open access

Damien Tourret

11

citations
KI-basierte Fahrzeugsegmentierung korrosionskritischer Konstruktionen durch die Analyse konstruktiver Maßnahmen, Elektrolytbeanspruchung und Bauteileigenschaften
2026 RWTH Publications (RWTH Aachen) dissertation Materials Science Corrosion Behavior and Inhibition Open access

Marcel Gollé‐Leidreiter

0

citations
Interpretably learning the critical temperature of superconductors: Electron concentration and feature dimensionality reduction
2024 APL Materials article Materials Science Machine Learning in Materials Science Open access

Ángel Díaz Carral, Martín Roitegui, Maria Fyta

4

citations
Agentic artificial intelligence in mechanics of materials: A review of building tailored models on demand
2026 GAMM-Mitteilungen article Materials Science Machine Learning in Materials Science Open access

M. Tacke, M. Busch, Kevin Linka, Roland Can Aydin, Christian Johannes Cyron

0

citations
A Systematic Review of Mathematical Modelling of Electromagnetic Shielding Effectiveness: Methods, Architectures, and Future Research Directions
2025 International Journal on Advanced Computer Theory and Engineering review Materials Science Electromagnetic wave absorption materials Open access

Emily L. Thompson, Karl Schneider, Alexei Petrov

0

citations
Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties
2024 Machine Learning with Applications article Materials Science Machine Learning in Materials Science Open access

Binh Duong Nguyen, Pavlo Potapenko, Aytekin Demirci, Kishan Govind, Sébastien Bompas, Stefan Sandfeld

22

citations
Development of PP Compound Recipes Using Genetic Algorithms and Analytical Models
2025 Polymers article Materials Science Machine Learning in Materials Science Open access

Lukas Seifert, Lisa Leuchtenberger-Engel, Christian Hopmann

1

citations
Development of PP-Compound Recipes Using Genetic Algorithms and Analytical Models
2025 Preprints.org preprint Materials Science Machine Learning in Materials Science Open access

Lukas Seifert, Lisa Leuchtenberger-Engel

0

citations
Enhancing the Quality of Polypropylene Recyclates: Predictive Modelling of the Melt Flow Rate and Shear Viscosity
2024 Polymers article Materials Science Polymer crystallization and properties Open access

Lukas Seifert, Lisa Leuchtenberger-Engel, Christian Hopmann

9

citations
Enhancing the Quality of Polypropylene Recyclates: Predictive Modelling of Melt Flow Rate and Shear Viscosity
2024 Preprints.org preprint Materials Science Polymer crystallization and properties Open access

Lukas Seifert, Lisa Leuchtenberger-Engel, Christian Hopmann

7

citations