Results 171 to 180 of about 3,122,831 (248)

Multi-Objective Optimization of Mechanical Properties for FDM-Printed PLA/TPU Blends via Box-Behnken Design and Entropy Weight Method. [PDF]

Polymers (Basel)
Li P, Wei T, Yang L, Zhao J, Wang S, Wang S.   +5 more
europepmc   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Non‐Additive Criteria Assessment in Sustainability Evaluation of High Entropy Alloys: A Toxicity‐Weighted Framework

Advanced Engineering Materials, EarlyView.
Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic, Oladele A. Ogunseitan, Julie M. Schoenung   +2 more
wiley   +1 more source

Optimization of process parameters for enhancing the tensile strength of diffusion-bonded Al-Al and Al-Fe-Al laminated structures. [PDF]

PLoS One
Van AL, Sinh NT, Thanh BC, Uyen TMT, Son Minh P.   +4 more
europepmc   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source

Haplotype structure: an overlooked key factor shaping the genomic selection response. [PDF]

Genetics
Xiao C, Nolte V, Schlötterer C.
europepmc   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Coordination-Driven Assembly of Alginate Networks: From Egg-Box Structures to Bioactive Delivery Applications. [PDF]

Gels
Toprakçı İ, Kurtulbaş E, Bozkurt RN, Şahin S.   +3 more
europepmc   +1 more source

Rapidly Solidified High‐Strength Invar 36 Prepared by Planar‐Flow Melt Spinning

Advanced Engineering Materials, EarlyView.
The Invar 36 alloy was rapidly solidified using the planar‐flow melt‐spinning technique. Ribbon samples with thicknesses ranging from 20 to 160 mm were produced. As the grain size of the ribbon decreased to sub‐micron levels, the hardness increased by more than 2 times.
Bekir Akgül, Mehmet Kul
wiley   +1 more source

Retraction Note: Prediction of uniaxial compressive strength of limestone from ball mill grinding characteristics using supervised machine learning techniques. [PDF]

Sci Rep
Swamy SV, Kunar BM, Chandar KR, Alwetaishi M, Krishnan S, Reddy S.   +5 more
europepmc   +1 more source