Effects of using two- versus three-dimensional computational modeling of fluidized beds

2008 ◽  
Vol 182 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Nan Xie ◽  
Francine Battaglia ◽  
Sreekanth Pannala
Keyword(s):  
Computational Modeling ◽  
Fluidized Beds ◽  
Three Dimensional

Three-dimensional mesoscale computational modeling of soil-rock mixtures with concave particles

2020 ◽  
Vol 277 ◽  
pp. 105802 ◽  
Author(s):  
Qingxiang Meng ◽  
Huanling Wang ◽  
Ming Cai ◽  
Weiya Xu ◽  
Xiaoying Zhuang ◽  
...  
Keyword(s):  
Computational Modeling ◽  
Three Dimensional

scholarly journals A Review of Cell-Based Computational Modeling in Cancer Biology

2019 ◽  
pp. 1-13 ◽  
Author(s):  
John Metzcar ◽  
Yafei Wang ◽  
Randy Heiland ◽  
Paul Macklin
Keyword(s):  
Stem Cells ◽  
Computational Modeling ◽  
Single Cell ◽  
Stromal Cells ◽  
Cancer Biology ◽  
Large Scale ◽  
Computational Models ◽  
Three Dimensional ◽  
Discrete Models ◽  
Simulation Studies

Cancer biology involves complex, dynamic interactions between cancer cells and their tissue microenvironments. Single-cell effects are critical drivers of clinical progression. Chemical and mechanical communication between tumor and stromal cells can co-opt normal physiologic processes to promote growth and invasion. Cancer cell heterogeneity increases cancer’s ability to test strategies to adapt to microenvironmental stresses. Hypoxia and treatment can select for cancer stem cells and drive invasion and resistance. Cell-based computational models (also known as discrete models, agent-based models, or individual-based models) simulate individual cells as they interact in virtual tissues, which allows us to explore how single-cell behaviors lead to the dynamics we observe and work to control in cancer systems. In this review, we introduce the broad range of techniques available for cell-based computational modeling. The approaches can range from highly detailed models of just a few cells and their morphologies to millions of simpler cells in three-dimensional tissues. Modeling individual cells allows us to directly translate biologic observations into simulation rules. In many cases, individual cell agents include molecular-scale models. Most models also simulate the transport of oxygen, drugs, and growth factors, which allow us to link cancer development to microenvironmental conditions. We illustrate these methods with examples drawn from cancer hypoxia, angiogenesis, invasion, stem cells, and immunosurveillance. An ecosystem of interoperable cell-based simulation tools is emerging at a time when cloud computing resources make software easier to access and supercomputing resources make large-scale simulation studies possible. As the field develops, we anticipate that high-throughput simulation studies will allow us to rapidly explore the space of biologic possibilities, prescreen new therapeutic strategies, and even re-engineer tumor and stromal cells to bring cancer systems under control.

scholarly journals Computational modeling for homogeneous-heterogeneous reactions in three-dimensional flow of carbon nanotubes

2017 ◽  
Vol 7 ◽  
pp. 2651-2657 ◽  
Author(s):  
Tasawar Hayat ◽  
Sohail Ahmed ◽  
Taseer Muhammad ◽  
Ahmed Alsaedi ◽  
Muhammad Ayub
Keyword(s):  
Carbon Nanotubes ◽  
Computational Modeling ◽  
Three Dimensional ◽  
Heterogeneous Reactions ◽  
Three Dimensional Flow ◽  
Dimensional Flow
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