[HTML][HTML] Heterostructured materials

Y Zhu, X Wu - Progress in materials science, 2023 - Elsevier
Heterostructured (HS) materials are a new class of materials that are composed of
heterogeneous zones with dramatically different (> 100%) mechanical or physical …

Tailoring the strengthening mechanisms of high-entropy alloys toward excellent strength-ductility synergy by metalloid silicon alloying: A review

MJ Sohrabi, A Kalhor, H Mirzadeh, K Rodak… - Progress in Materials …, 2024 - Elsevier
Metalloids and transition/refractory elements typically differ significantly in the electronic
structure and atomic size, allowing for stronger solid-solution hardening in high-entropy …

Defects and anomalies in powder bed fusion metal additive manufacturing

A Mostafaei, C Zhao, Y He, SR Ghiaasiaan… - Current Opinion in Solid …, 2022 - Elsevier
Metal additive manufacturing is a disruptive technology that is revolutionizing the
manufacturing industry. Despite its unrivaled capability for directly fabricating metal parts …

Gradient cell–structured high-entropy alloy with exceptional strength and ductility

Q Pan, L Zhang, R Feng, Q Lu, K An, AC Chuang… - Science, 2021 - science.org
Similar to conventional materials, most multicomponent high-entropy alloys (HEAs) lose
ductility as they gain strength. In this study, we controllably introduced gradient nanoscaled …

Atomic faulting induced exceptional cryogenic strain hardening in gradient cell–structured alloy

Q Pan, M Yang, R Feng, AC Chuang, K An, PK Liaw… - Science, 2023 - science.org
Coarse-grained materials are widely accepted to display the highest strain hardening and
the best tensile ductility. We experimentally report an attractive strain hardening rate …

The stiffness of living tissues and its implications for tissue engineering

CF Guimarães, L Gasperini, AP Marques… - Nature Reviews …, 2020 - nature.com
The past 20 years have witnessed ever-growing evidence that the mechanical properties of
biological tissues, from nanoscale to macroscale dimensions, are fundamental for cellular …

Artificial intelligence and machine learning in design of mechanical materials

K Guo, Z Yang, CH Yu, MJ Buehler - Materials Horizons, 2021 - pubs.rsc.org
Artificial intelligence, especially machine learning (ML) and deep learning (DL) algorithms,
is becoming an important tool in the fields of materials and mechanical engineering …

[HTML][HTML] Wire and arc additive manufacturing of Fe-based shape memory alloys: microstructure, mechanical and functional behavior

IO Felice, J Shen, AFC Barragan, IAB Moura, B Li… - Materials & Design, 2023 - Elsevier
Shape memory alloys (SMA) are a class of smart materials with inherent shape memory and
superelastic characteristics. Unlike other SMAs, iron-based SMAs (Fe-SMA) offer cost …

High-entropy alloys with heterogeneous microstructure: processing and mechanical properties

P Sathiyamoorthi, HS Kim - Progress in Materials Science, 2022 - Elsevier
Engineering metallic materials are an essential class of materials for a variety of industrial
applications due to their competitive mechanical properties, especially strength and ductility …

The optimum grain size for strength-ductility combination in metals

Y Wang, C Huang, X Ma, J Zhao, F Guo, X Fang… - International Journal of …, 2023 - Elsevier
A strength-ductility trade-off usually occurs when grains are refined to increase strength. A
question arises on if there exists a grain size for the best strength-ductility combination, ie …