Results 121 to 130 of about 275 (229)

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

High-Throughput Microfluidic Electroporation (HTME): A Scalable, 384-Well Platform for Multiplexed Cell Engineering. [PDF]

Bioengineering (Basel)
Gaillard WR, Sustarich J, Li Y, Carruthers DN, Gupta K, Liang Y, Kuo R, Tan S, Yoder S, Adams PD, Garcia Martin H, Hillson NJ, Singh AK.   +12 more
europepmc   +1 more source

3D‐Printed Titanium Gyroid Scaffold Structure Integrated With Tough Hybrid Materials for Cartilage Replacement

Advanced Engineering Materials, EarlyView.
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin, Gloria R. Young, Francesca Tallia, Reece N. Oosterbeek, Shaaz Ghouse, Edward Spiers, Nupur Kohli, Tom Briggs, Marc Masen, Siwei Li, Ren‐Jei Chung, Jonathan R. T. Jeffers, Julian R. Jones   +12 more
wiley   +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

Hybrid Validation of a Quality-Controlled, Waveform-Centered AI Framework with Optional Multi-Sensor Support for Seismic Monitoring. [PDF]

Sensors (Basel)
Abdykadyrov A, Alipuly Y, Mamadiyarov M, Tashev B, Yerkinova A, Tazhen K.   +5 more
europepmc   +1 more source

Dynamic real-time subtraction of stray-light and background for multiphoton imaging. [PDF]

Biomed Opt Express, 2021
Fernández A, Straw A, Distel M, Leitgeb R, Baltuska A, Verhoef AJ.   +5 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

Contributions to exact algorithms for picker routing and packing problems

This thesis develops exact solution methods for several combinatorial optimization problems arising in warehouse logistics and packing operations. The primary focus is on picker routing problems in warehouses with scattered storage, where individual articles may be stored at multiple locations, requiring simultaneous decisions on item retrieval ...
openaire   +2 more sources

Structural basis for recruitment of TASL by SLC15A4 in human endolysosomal TLR signaling. [PDF]

Nat Commun, 2023
Chen X, Xie M, Zhang S, Monguió-Tortajada M, Yin J, Liu C, Zhang Y, Delacrétaz M, Song M, Wang Y, Dong L, Ding Q, Zhou B, Tian X, Deng H, Xu L, Liu X, Yang Z, Chang Q, Na J, Zeng W, Superti-Furga G, Rebsamen M, Yang M.   +23 more
europepmc   +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