„Process Modeling“

Suchergebnisse

10.000+ Treffer

• Computational Engineering Approach-Based Modeling of Safety and Security Boundaries: A Review, Novel Model, and Comparison
  Korać, Dragan ; Dimitrije, Čvokić ; Simić, Dejan
• Learning metal microstructural heterogeneity through spatial mapping of diffraction latent space features
  Calvat, Mathieu ; Bean, Chris ; Anjaria, Dhruv ; Park, Hyoungryul ; Wang, Haoren ; Vecchio, Kenneth ; Stinville, J. C.
• Fundamentals of Business Process Management
  Dumas, Marlon ; La Rosa, Marcello ; Mendling, Jan ; Reijers, Hajo A. 2013 Springer Berlin Heidelberg
• Modeling the impact of tropical cyclone intensity on rainfall under stochastic processes
  Chidzalo, Patrick ; Beyamu, Donnex ; Mutepuwa, John ; Kambale, Charles ; Dzupire, Nelson ; Kaombe, Pythagoras ; Chidothi, Peter
• Modeling fluid absorption in layered anisotropic cement-based materials
  de Siqueira Neto, Luiz Antonio ; Isgor, O. Burkan ; Weiss, W. Jason
• Graph attention networks decode conductive network mechanism and accelerate design of polymer nanocomposites
  Sui, Tang ; Liu, Shaolong ; Cong, Bihui ; Xu, Xiaoke ; Shan, Dongjing ; Milano, Giuseppe ; Zhao, Ying ; Xu, Shuang ; Mao, Jiashun
• Interpretable X-ray diffraction spectra analysis using confidence evaluated deep learning enhanced by template element replacement
  Xing, Rongchang ; Yao, Haodong ; Xi, Zuoxin ; Sun, Minghui ; Li, Qingmeng ; Tian, Jinglong ; Wang, Hairui ; Xu, DeTing ; Ma, Zhaohai ; Zhao, Lina
• AdapTor: Adaptive Topological Regression for quantitative structure–activity relationship modeling
  Mao, Yixiang ; Ghosh, Souparno ; Pal, Ranadip
• Plastics for additive manufacturing – properties, processing, and applications of thermoplastics
  Fischer, Andreas ; Achten, Dirk ; Launhardt, Martin 2025 Hanser
• A survey of the experience in the physical modeling of the processes of production of high permeability steel and its implementation at the NLMK
  Ringinen, D. A. ; Spitsberg, I. T.
• Equilibrium Problem for a Kirchhoff–Love Plate Contacting by a Thin Rigid Inclusion with an Inclined Obstacle
  Lazarev, Nyurgun ; Verkhovtsev, Semen
• Modeling and simulation of the medical transfusion tubing pyrolysis process
  Zhou, Zhipeng ; Ma, Hongting ; Ma, Shuo ; Zhang, Lei ; Wang, Kexun
• NEP-MB-pol: a unified machine-learned framework for fast and accurate prediction of water’s thermodynamic and transport properties
  Xu, Ke ; Liang, Ting ; Xu, Nan ; Ying, Penghua ; Chen, Shunda ; Wei, Ning ; Xu, Jianbin ; Fan, Zheyong
• From electrons to phase diagrams with machine learning potentials using pyiron based automated workflows
  Menon, Sarath ; Lysogorskiy, Yury ; Knoll, Alexander Louis Martin ; Leimeroth, Niklas ; Poul, Marvin ; Qamar, Minaam ; Janssen, Jan ; Mrovec, Matous ; Rohrer, Jochen ; Albe, Karsten ; Behler, Jörg ; Drautz, Ralf ; Neugebauer, Jörg
• A physics-informed machine learning framework for accelerated discovery of single-phase B2 multi-principal element intermetallics
  Zhao, Weijiang ; Chen, Zhaoqi ; Shang, Yinghui ; Wang, Qing ; Wang, Li ; Liu, Bin ; Liu, Yong ; Yang, Yong
• Computational Intelligence in Stochastic Reconstruction of Porous Microstructures for Image-Based Poro/Micro-Mechanical Modeling
  Fu, Jinlong ; Tan, Wei ; Xiao, Dunhui ; Zhuang, Xiaoying
• Giant valley splitting and tunable anisotropic spin plasmons in a Janus ferrovalley monolayer
  Zhang, Zhihua ; Sun, Haotian ; Dong, Mimi ; Guo, Yiyi ; Zhao, Mingwen
• Automated generation of structure datasets for machine learning potentials and alloys
  Poul, Marvin ; Huber, Liam ; Neugebauer, Jörg
• Modeling of electric and heat processes in spot resistance welding of cross-wire steel bars
  Iatcheva, Ilona ; Darzhanova, Denitsa ; Manilova, Marina
• Towards inverse modeling of intratumor heterogeneity
  Brutovsky, Branislav ; Horvath, Denis