Results 181 to 190 of about 359,812 (282)

A Case Study of Applying Generative Design to Gear Wheels. [PDF]

Materials (Basel)
Virostko M, Maláková S, Kopas M, Mantič M, Kuľka J, Krenicky T, Lopot F, Petr K.   +7 more
europepmc   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

The two dragons of cognition: recursive condensation for predictive processing. [PDF]

Front Comput Neurosci
Li X.
europepmc   +1 more source

Characterization and Design Framework for Micro‐ and Nanoscale Printed Metal Interconnects in Hybrid Electronic Systems

Advanced Materials Technologies, EarlyView.
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue, Siddharth Kurup, Rebecca Banner, Calib Lanier, Eric Vogel, Michael Filler, Kira Barton   +6 more
wiley   +1 more source

Topologically enhanced exciton transport. [PDF]

Nat Commun
Thompson JJP, Jankowski WJ, Slager RJ, Monserrat B.   +3 more
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

R3J-AGNN: GNN-Based Prediction of Inter-Branch Angles in RNA Three-Way Junctions from Secondary Structure. [PDF]

Biology (Basel)
Yang H, Qiao N, Zhang B, Shi YZ, Tan YL.
europepmc   +1 more source

3D Printed PEDOT:PSS‐Based Lattice Pressure Sensors With Tunable Electromechanical Response

Advanced Materials Technologies, EarlyView.
poly(3,4‐ethylenedioxythiophene): polystyrene sulfonate (PEDOT:PSS)‐based architected lattices are fabricated via single‐step Digital Light Processing (DLP) printing for tunable pressure sensing. Structural design variations allow precise control of sensitivity and range, while integrated conductivity eliminates post‐processing.
Ozan Karakaya, Naroa Lopez‐Larrea, Ali Veysel Tunc, Mikel Rincon‐Iglesias, Karin J. Chen, Katja Nau, Senentxu Lanceros‐Mendez, David Mecerreyes, Miryam Criado‐Gonzalez, Gerardo Hernandez‐Sosa   +9 more
wiley   +1 more source

Topological metrics as evolutionary and dynamical descriptors of conformational landscapes within protein families. [PDF]

PLoS Comput Biol
Ramesh N, Ozkan SB, Panagiotou E.
europepmc   +1 more source

3D Printing of Stretchable, Compressible and Conductive Porous Polyurethane for Soft Robotics

Advanced Materials Technologies, EarlyView.
A 3D‐printable porous dopamine‐polyurethane acrylate elastomer results in conductive, stretchable, and compressible structures that can be metallized in situ through catechol‐mediated silver reduction. The resulting material function as both compliant soft robot with a and strain sensors without complex assemblies, enabling fully 3D‐printed soft ...
Ouriel Bliah, Konstantin Sakharov, Pooi See Lee, Shlomo Magdassi   +3 more
wiley   +1 more source