Results 201 to 210 of about 4,844,251 (306)

Enhancement of the Through‐Thickness Electrical Conductivity of Carbon‐Fiber‐Reinforced Plastics Using Large Graphite Particles

Advanced Engineering Materials, EarlyView.
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe, Yu Zhou, Shintaro Kamiyama, Takao Okada, Tomohiro Yokozeki, Ryoma Tokonami, Tatsuhiro Takahashi   +6 more
wiley   +1 more source

Strategic timing for the decarbonization contributions by China's photovoltaic manufacturers in global energy transition. [PDF]

Nat Commun
Lin Q, Li C, Wang K, Fang K, Xin M, Wang S, Xu A, Xu Z, Lu Y, Gao X.   +9 more
europepmc   +1 more source

Impact of the Process Atmosphere During Hot Isostatic Pressing on the Near‐Surface Composition of an Additively Manufactured Austenitic High‐Interstitial Steel

Advanced Engineering Materials, EarlyView.
A high interstital austenitic steel is additively manufactured and postdensified by HIP to eliminate gas porosity. Thereby, the loss of N and Mn in Ar HIP atmosphere is investigated. Further, HIP using N2 atmosphere is investigated which led to excessive nitride formation.
F. Großwendt, J. Hahn, J. Kimm, S. Weber, J. Lentz   +4 more
wiley   +1 more source

Life-cycle sustainability assessment of public general hospital buildings in China. [PDF]

Sci Rep
Huang K, Zhang W, Miao X, Xu T.
europepmc   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Waste Material Utilization in Civil Engineering Applications: Advances, Challenges, and Future Directions-A Scoping Review. [PDF]

Materials (Basel)
Dassanayake C, Mashaan NS, Galagedara R.
europepmc   +1 more source

Anticorrosive Performance of Smart Epoxy Coatings With Poly(urea‐formaldehyde) Microcapsules Filled With 5‐Ethylidene‐2‐norbornene

Advanced Engineering Materials, EarlyView.
PUF/ENB microcapsules were synthesized based on a sequential factorial design and incorporated into an epoxy matrix. Their anticorrosive action, associated with the self‐healing mechanism, demonstrated that the addition of microcapsules to the coating improved anticorrosive performance compared to pure epoxy coatings, particularly when the encapsulate ...
Vandicleya Alves Moreira, Maria Paula de Carvalho Freire, Ygor Matheus Pereira de Paula, Ana Leticia Santos, Alice da Costa Silva, Nicolau Apoena Castro, Maria Carolina Burgos Costa   +6 more
wiley   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Dynamic complexity of moral motivation: the roles of duty and self-interest. [PDF]

Front Psychol
Kaplan U.
europepmc   +1 more source

Electrodeposition in Structural Lattices of Variable Architectures

Advanced Engineering Materials, EarlyView.
Electrodeposition enables geometry‐sensitive, autonomous void filling while simultaneously tuning chemical and mechanical properties. The development of approaches that can autonomously fill and heal material voids and yield composites with tailorable properties is increasingly relevant in engineering.
Yeong‐Man Kwon, Jingwen Zhang, Guido Musso, Alessandro F. Rotta Loria   +3 more
wiley   +1 more source