Results 231 to 240 of about 507,526 (293)

John Lydgate’s Last Poem

, 2015
Margaret Bridges, Bridges, Margaret
core   +1 more source

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

Integrating molecular dynamics simulations to enable rational assembly of immune signals for immunotherapy.

Nanoscale Horiz
Froimchuk E, Jain M, Sahoo A, Edwards C, Shah S, Oakes RS, Matysiak S, Jewell CM.   +7 more
europepmc   +1 more source

In Memory of Professor Charles Mayaud. [PDF]

Ann Intensive Care
Fartoukh M.
europepmc   +1 more source

Rotary 3D Printing With Integrated Electroplating

Advanced Engineering Materials, EarlyView.
A rotary material extrusion platform integrates localized copper electroplating with printing and encapsulation to fabricate cylindrical polymer–metal structures containing fully embedded, low‐resistance conductive pathways that enable internal Joule heating and thermally activated shape‐memory responses.
Antonio Zagaria, Nicola Larovere, Moslem Mohammadi, Gianluca Percoco, Ali Zolfagharian, Gianni Stano   +5 more
wiley   +1 more source

Thermal bridging in buildings: A critical review of mechanisms, mitigation strategies, energy impacts, and research needs. [PDF]

Build Serv Eng Res Technol
Ahsan M, Youssef MA, Van Dongen C, Thompson D, Stanier G.   +4 more
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

Parameter calibration of finite element model of reinforced concrete arch bridge based on ISOA-RBF neural network. [PDF]

Sci Rep
Peng W, Zhang Z, Tian Z, Zhang J, Zeng G.   +4 more
europepmc   +1 more source