Results 61 to 70 of about 27,805 (234)
, 2020 See https://github.com/Parsl/parsl for more info Parsl is a parallel programming library for Python. Parsl augments Python with simple, scalable, and flexible constructs for encoding parallelism.
Parsl Team
core +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Advanced Engineering Materials, EarlyView.Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
, 2021 We developed a Python-based open-source software for scientific visualization of fluid dynamics datasets. This software is enabled by the VTK graphic rendering library and equipped with an interactive user interface built upon PyQt5.
吕钰, Qiao, Zheng, Liu, Qing, Lv, Yu
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Advanced Engineering Materials, EarlyView.Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán +5 more
wiley +1 more source
A machine learning-based predictive model for stem cell therapy outcomes in plastic surgery
Frontiers in MedicineObjectiveStem cell therapy has emerged as a promising approach in plastic surgery, yet its efficacy varies markedly among individuals and lacks reliable predictive assessment tools.
Lingang Xu +4 more
doaj +1 more source
Using Python to Construct a Scalable Parallel Nonlinear Wave Solver
, 2011 Computational scientists seek to provide efficient, easy-to-use tools and frameworks that enable application scientists within a specific discipline to build and/or apply numerical models with up-to-date computing technologies that can be executed on all
Ketcheson, David I. +4 more
core
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
Advanced Engineering Materials, EarlyView.An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source
Frontiers in NeuroscienceObjectiveThis study aimed to assess the efficacy of ligustrazine in treating cerebral ischemia-reperfusion (I/R) injury and construct a preclinical evidence framework by meta-analysis and machine learning.MethodsA systematic search was conducted for ...
Lang Tu +5 more
doaj +1 more source
Enhancing Bubble Removal in Geometry‐Optimized Electrodes
Advanced Engineering Materials, EarlyView.3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner +5 more
wiley +1 more source
From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices
Advanced Engineering Materials, EarlyView.Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle +3 more
wiley +1 more source