Papers matching “data-driven process models” 86
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ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data2026 International Journal of Material Forming article Engineering Additive Manufacturing Materials and Processes Open access
Medad Chiedozie C. Monu, Éanna McCarthy, Abhilash Puthanveettil Madathil, Josiah Cherian Chekotu, Irina Ilic, Merve Nur Doğu, +14 more
0citations -
ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data2026 International Journal of Material Forming article Engineering Additive Manufacturing Materials and Processes Open access cited by 1 patent
Medad C.C. Monu, Éanna McCarthy, Abhilash Puthanveettil Madathil, Josiah Cherian Chekotu, Irina Ilic, Merve Nur Doğu, +14 more
4citations -
Data-driven adaptive approach integrating genetic algorithm and conditional generative adversarial network for minimizing earing formation in industrially rolled aluminium strips2026 Transactions of the Indian Institute of Metals article Materials Science Machine Learning in Materials Science Open access
Nilesh Thakare, Kai Karhausen, Holger Brüggemann, Emad Scharifi, Junhe Lian
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Bayesian galactic cartography via Gaussian processes: dark matter and interstellar gas : towards a new era of data-driven high-dimensional modelling in astrophysics0citations
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Propagating data-driven galaxy redshift distribution uncertainties in 3 × 2-pt analyses2026 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Cosmology and Gravitation Theories Open access
Jaime Ruiz-Zapatero, Qianjun Hang, Yun-Hao Zhang, Benjamin Joachimi, Joe Zuntz, I. Harrison, +3 more
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A data-driven elucidation of the challenges in designing stable quinone derivatives for aqueous organic redox flow batteries: correlations between thermodynamics of chemical degradation and energy capacity metrics2026 Institutional Repositories DataBase (IRDB) article Engineering Advanced battery technologies research Open access
Ning Lu, Shiyao Ju, Daniel Willimetz, Shengming Tang, Abhishek Khetan
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A data-driven elucidation of the challenges in designing stable quinone derivatives for aqueous organic redox flow batteries: correlations between thermodynamics of chemical degradation and energy capacity metrics2026 Science and Technology of Advanced Materials article Engineering Advanced battery technologies research Open access
Ning Lu, Shiyao Ju, Daniel Willimetz, Shengming Tang, Abhishek Khetan
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Coupled process chain modelling to minimise the earing formation in industrially rolled aluminium strips for beverage can production using data-based methods2026 International Journal of Material Forming article Engineering Metal Forming Simulation Techniques Open access
Nilesh Thakare, Kai F. Karhausen, Hans-Reimund Müller, Emad Scharifi, David Benjamin Bailly
1citations