Results 191 to 200 of about 9,316 (295)
Optimization of 3D‐Printed Structured Packings—Current State and Future Developments
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke +3 more
wiley +1 more source
Diffusion Approximation in a Stochastic Cellular Automaton Model for Epidemics
openaire +1 more source
Predicting solar cell efficiencies using historical data from a manufacturing process
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
A seven-step guide to spatial, agent-based modelling of tumour evolution. [PDF]
Colyer B, Bak M, Basanta D, Noble R.
europepmc +1 more source
TimeFlow 2: An Unsupervised Cell Lineage Detection Method for Flow Cytometry Data
TimeFlow 2 is a new method for cell lineage inference in flow cytometry data. It constructs cell state paths along pseudotime and aggregates them into biologically informative groups. It allows tracking of cytometry markers within each automatically inferred lineage.
Margarita Liarou +2 more
wiley +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Unmasking complex kinetics in viral entry by inferring hypoexponential models. [PDF]
Adenekan O, Kasson PM.
europepmc +1 more source
Two‐Dimensional Piezoelectric Nanomaterials for Nanoelectronics and Energy Harvesting
Two‐Dimensional Piezoelectric Nanomaterials from properties to applications. Smart materials, especially piezoelectric materials, have gained popularity over the last two decades. Two‐dimensional (2D) piezoelectric materials exhibit attributes including great flexibility, ease of workability, extensive surface area, and many active sites, indicating ...
Yujun Cao +12 more
wiley +1 more source

