Results 251 to 260 of about 848,867 (301)

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
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, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data. [PDF]

Sci Rep
Zhang S, Sima C, Hou T.
europepmc   +1 more source

Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review

Advanced Engineering Materials, EarlyView.
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang, Hanliang Zhu, Zhiyang Wang, Zhijun Qiu, Xiao Wang, Zengxi Pan, Hongtao Zhu, Mingxing Zhang, Huijun Li   +8 more
wiley   +1 more source

Spin conductivity in two-dimensional Heisenberg model on Lieb lattice under magnetic field and spin-orbit interactions. [PDF]

Sci Rep
Azizi F, Rezania H.
europepmc   +1 more source

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
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, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source

Operator Radiation Exposure Comparing the Left Radial Artery Approach and a Uniform Hyper-Adducted Right Radial Artery Approach: The HARRA Study. [PDF]

Circ Cardiovasc Interv
Casazza R, Malik B, Hashmi A, Fogel J, Montagna E, Frankel R, Borgen E, Ayzenberg S, Friedman M, Moskovits N, Verma S, Meng J, Chang N, Huang Y, Rodriguez C, Chera HH, Raj S, Chaterjee S, Gibson D, Palacios A, Agarwal C, Nene MV, Shani J.   +22 more
europepmc   +1 more source

An Examination of Aerosol Jet‐Printed Surface Roughness and its Impact on the Performance of High‐Frequency Electronics

Advanced Engineering Materials, EarlyView.
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley   +1 more source

Compacting the Time Evolution of the Forced Morse Oscillator Using Dynamical Symmetries Derived by an Algebraic Wei-Norman Approach. [PDF]

J Chem Theory Comput
Hamilton JR, Remacle F, Levine RD.
europepmc   +1 more source

Statistical Distributions of Morphologically Classified Defects in Metal Additive Manufacturing with Implications for Fatigue Life Prediction

Advanced Engineering Materials, EarlyView.
Morphological features of three defect types in metal additive manufacturing (AM)—lack of fusion, keyhole, and gas‐entrapped pores—are statistically characterized using best‐fit distributions evaluated via coefficient‐of‐determination, Kolmogorov–Smirnov test, and quantile–quantile plots.
Ahmad Serjouei, Golnaz Shahtahmassebi
wiley   +1 more source

Hybrid Modeling of the Reversed-Phase Chromatographic Purification of an Oligonucleotide: Few-Shot Learning From Differentiable Physics Solver-in-the-Loop. [PDF]

Biotechnol Bioeng
Chen YC, Fioretti I, Lin DQ, Sponchioni M.   +3 more
europepmc   +1 more source