Results 221 to 230 of about 11,503,776 (284)

Numerical Analysis of Load Reduction in the Gliding Process Achieved by the Bionic Swan's Webbed-Foot Structures. [PDF]

Biomimetics (Basel)
Gao F, Liu X, Li X, Fan Z, Zhou H, Wu W.
europepmc   +1 more source

Satellite‐Based Global Assessment of Solar Resource Stability

Geophysical Research Letters, Volume 53, Issue 17, 16 September 2026.
Abstract Satellite spatial smoothing complicates comparisons of solar variability between gridded products and point measurements. We introduce the Stability Deviation Index (SDI), a bounded composite of solar intensity and intraday variability. Applied independently to 69 BSRN stations and co‐located CERES grid cells, SDI shows strong cross‐platform ...
Ning Lu, Jun Qin
wiley   +1 more source

Study on effects of the train-induced airflow on the temperature field of single-track high-speed railway tunnels in cold regions. [PDF]

Sci Rep
Zhou J, Wu L, Gao Y, Chen X, Liu R.
europepmc   +1 more source

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

High-density via RRAM cell with multi-level setting by current compliance circuits. [PDF]

Discov Nano
Hsieh YC, Lin YC, Huang YH, Chih YD, Chang J, Lin CJ, King YC.   +6 more
europepmc   +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

Enhancing large particle recovery in high-throughput functional cell sorting through ΔBOP optimization. [PDF]

Sci Rep
Sakamoto N, Shibata E, Yoshimura M, Namura H, Yanashita Y, Masuhara S, Uehara Y, Yamane K, Kasai H, Furuki M, Hayashi Y.   +10 more
europepmc   +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

Aerodynamic Instability Mechanisms of Iced Eight-Bundled Conductors: Frequency-Domain Analysis and Stability Assessment via Wind Tunnel-CFD Synergy. [PDF]

Sensors (Basel)
Zhong B, Qiao M, Cai M, Hu M.
europepmc   +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