Results 301 to 310 of about 6,718,270 (416)

Geometry‐Assisted Phase Selection: Interplay of Phase Heterogeneity and Geometry in Gyroid Shell Metamaterials Printed with 17‐4 PH Stainless Steel

Advanced Engineering Materials, EarlyView.
This study explores geometry‐driven phase evolution in gyroid shell metamaterials made via laser powder bed fusion of 17‐4 precipitation hardened stainless steel. Locally hardened regions develop along the primary loading paths in the structure, which finite element analysis and geometric considerations link to enhanced gyroid strength.
Julia T. Pürstl, Brandon Fields, Patrick Ziemke, Nicolò M. della Ventura, Kate M. Ainger, Diran Apelian, Daniel S. Gianola, Matthew R. Begley, Lorenzo Valdevit   +8 more
wiley   +1 more source

Amyloid β induces hormetic-like effects through major stress pathways in a C. elegans model of Alzheimer's Disease. [PDF]

PLoS One
Lichty JD, Mane H, Yarmey VR, Miguel AS.
europepmc   +1 more source

Deformation Behavior of La2O3‐Doped Copper during Equal Channel Angular Pressing

Advanced Engineering Materials, EarlyView.
By additions of strengthening elements and/or structure optimization, the mechanical properties of copper can be increased while keeping favorable electric conductivity. By combining addition of La2O3 and processing by equal channel angular pressing, substructure development is achieved, leading to increase in microhardness to more than double the ...
Lenka Kunčická, Josef Walek, Radim Kocich   +2 more
wiley   +1 more source

Prediction of Cover-Subsidence Sinkhole Volume Using Fibre Bragg Grating Strain Sensor Data. [PDF]

Sensors (Basel)
Richardson WB, von Solms S, Meyer J, Harley C.   +3 more
europepmc   +1 more source

Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys

Advanced Engineering Materials, EarlyView.
This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco, Kehang Yu, Xin Wang, Crystal Murillo, Carlos Melchor, Calvin H. Belcher, Julie M. Schoenung, Enrique J. Lavernia, Stacy M. Copp   +8 more
wiley   +1 more source

Study on the energy characteristics of rocks under cyclic loading and unloading. [PDF]

Sci Rep
Niu S, Wu J, Zhao J.
europepmc   +1 more source

The potato virus "X": Its strains and reactions

, 1938
Redcliffe N. Salaman
openalex   +1 more source

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

Experimental study on the bending performance of a precast, pretensioned high-strength concrete I-girder with pretensioned double broken strands. [PDF]

Sci Rep
Lu T, Zheng X, Chen J, Yang Y, Li Y.
europepmc   +1 more source

On the Rigidity and Mechanical Behavior of Triply Periodic Minimal Surfaces‐Based Lattices: Insights from Extensive Experiments and Simulations

Advanced Engineering Materials, EarlyView.
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle, Humberto Terrones, Carlos González   +2 more
wiley   +1 more source