Results 301 to 310 of about 2,034,768 (362)
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
A Novel Methodology for GB-SAR Estimating Parameters of the Atmospheric Phase Correction Model Based on Maximum Likelihood Estimation and the Gauss-Newton Algorithm. [PDF]
Li X, Liu Y.
europepmc +1 more source
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat+6 more
wiley +1 more source
Maximum likelihood estimation of renal transporter ontogeny profiles for pediatric PBPK modeling. [PDF]
Hunt JP+8 more
europepmc +1 more source
In‐mold electronics (IME) enables the integration of circuits into more complex scenarios, yet the key challenge remains ensuring a fully functional device. This study investigates how the presence of structural adhesives can improve the performance and functionality of IME devices, addressing key challenges in device integration.
Francisco Ituriel Arias‐García+3 more
wiley +1 more source
High‐Rate Deposition and Characterization Study of CoZrO Films for On‐Chip Power Applications
This study introduces a high‐rate reactive sputtering process for CoZrO films, aimed at large‐scale production of on‐chip magnetic components compatible with complementary metal oxide semiconductor (CMOS) fabrication. Characterization of the deposited films reveals that ideal magnetic properties require chemical compositions in a narrow Co:O range and ...
Elaine Ng+6 more
wiley +1 more source
This study investigates the impact of Ce and/or Mg on the electrical conductivity (EC) and mechanical properties of AlSi3 cast alloy. It highlights the synergistic effects of Ce and Mg on eutectic Si modification and Mg solute reduction in the Al matrix, resulting in the optimization of EC, strength, and ductility of the alloy.
Farnaz Yavari+3 more
wiley +1 more source
Benchmarking predictive methods for small-angle X-ray scattering from atomic coordinates of proteins using maximum likelihood consensus data. [PDF]
Trewhella J, Vachette P, Larsen AH.
europepmc +1 more source
This study focuses on synthesizing equiatomic AlCuNiSi medium‐entropy alloys using mechanical alloying for advanced industrial applications. Continuous milling leads to grain refinement and the formation of stable BCC/FCC solid‐solution phases, resulting in enhanced mechanical properties. A unique Si‐rich solid‐solution phase is observed, which did not
Mustafa Okumuş+2 more
wiley +1 more source
A Study on Thermal Expansion and Thermomechanical Behavior of Composite Metal Foams
The coefficient of thermal expansion of steel–steel composite metal foam (S‐S CMF) is shown to be lower than that of bulk stainless steel while its performance under compression demonstrate excellent mechanical stability and strength at all temperatures with gradualsoftening from 400 to 600 °C.
Zubin Chacko+2 more
wiley +1 more source