Results 221 to 230 of about 161,763 (281)

Combined Process‐ and Phase‐Field‐Simulation to Predict the Microstructure of Single‐Crystal Ni‐Based Superalloys

Advanced Engineering Materials, Volume 28, Issue 17, 9 September 2026.
A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm, André B. Baldissera, Rainer Völkl, Uwe Glatzel   +3 more
wiley   +1 more source

Rafting of Ni‐Based Superalloys Under Multiaxial Load as Understood by Phase‐Field Simulations and Critical Experiments

Advanced Engineering Materials, Volume 28, Issue 17, 9 September 2026.
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan, David Bürger, Gunther Eggeler, Oleg Shchyglo, Ingo Steinbach, Muhammad Adil Ali   +5 more
wiley   +1 more source

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

Advanced Engineering Materials, Volume 28, Issue 17, 9 September 2026.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies, Daniel E. Driemeyer, Aaron P. Stebner   +2 more
wiley   +1 more source

PARSEC.py: A Python‐Based Real‐Space Kohn–Sham Density Functional Theory Code Accelerated by Machine Learned Charge Density

Journal of Computational Chemistry, Volume 47, Issue 23, September 5, 2026.
PARSEC.py is a Python‐based real‐space Kohn–Sham DFT framework that leverages the Python scientific ecosystem for transparent, modular integration of machine‐learned densities and GPU acceleration. This unified design enables more efficient and scalable first‐principles simulations of large chemical and materials systems. ABSTRACT PARSEC.py is a Python‐
Zeyi Zhang, Carlos Mora Perez, Patrick Kwon, Martin Head‐Gordon, Jin Qian   +4 more
wiley   +1 more source

FedGATE: Topology‐Aware Personalized Federated Learning With Utility and Carbon‐Aware Scheduling for Mobile Traffic Prediction

Concurrency and Computation: Practice and Experience, Volume 38, Issue 18, September 2026.
ABSTRACT Accurate mobile traffic prediction is important for proactive resource allocation, congestion management, and service assurance in fifth‐generation and emerging sixth‐generation networks. Centralized deep‐learning approaches can provide strong forecasting performance but require raw traffic data to be transferred to a common server, creating ...
Muhammad Qasim, Muhammad Imran, Muhammad Ahmad Bilal, Adil Masood Siddiqui, Maryam Rasool, Muhammad Junaid Khan, Hassan Khan   +6 more
wiley   +1 more source

Research on Wireless Communication Optimization Design for Self‐Recovering Multi‐Interface Encrypted Communication Terminals Based on OMAP Architecture

Engineering Reports, Volume 8, Issue 9, September 2026.
This study optimizes a wireless communication terminal using an OMAP dual‐core processor and encryption chips. It achieves under 55 μs latency, ≤ 0.06% packet loss, and millisecond‐level self‐recovery in complex environments, ensuring secure and reliable communication.
Wenmin Xie, Jingyi Du, Xinlong Fu, Weiyuan Lan, Penghui Liu   +4 more
wiley   +1 more source

Numerical Aspects of Turbulent Blood Flow in Aorta: A Systematic Review

Engineering Reports, Volume 8, Issue 9, September 2026.
The aim of this systematic review is to systematize the methodological approaches used in the state‐of‐the‐art literature, including the choice of turbulence models, validation methods, as well as the identification of the main hemodynamic parameters characterizing turbulent flow.
Nikita Skripka, Alex G. Kuchumov
wiley   +1 more source

Models for Temporal Clustering of Extreme Events With Applications to Mid‐Latitude Winter Cyclones

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT The occurrence of extreme events like heavy precipitation or storms at a certain location often shows a clustering behavior and is thus not described well by a Poisson process. We construct a general model for the inter‐exceedance times (IETs) in between extreme events which combines different candidate models for such behavior. One of them is
Christina Mathieu, Merle Mendel, Katharina Hees, Roland Fried   +3 more
wiley   +1 more source

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On the monotonic and conservative transport on overset/Yin–Yang grids

Journal of Computational Physics, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas Allen, Mohamed Zerroukat
exaly   +4 more sources

A fast and reliable overset unstructured grids approach

Acta Mechanica Sinica/Lixue Xuebao, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chao Yan
exaly   +3 more sources