Results 101 to 110 of about 25,499,806 (331)

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

Advanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski, Higgins M. Wilson, Abdallah Y. M. Ali, Jiaxing Xu, Ruzhu Wang, Primož Poredoš   +5 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Exploiting Group Symmetry in Truss Topology Optimization [PDF]

AMS classification: 90C22, 20Cxx, 70-08truss topology optimization;semidefinite programming;group ...
Klerk, E. de, Bai, Y.Q., Pasechnik, D.V., Sotirov, R.   +3 more
core  

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Topology Optimization of Suction Muffler for Noise Attenuation [PDF]

, 2012
A topology optimization method is developed to optimally design suction mufflers in reciprocating compressors. Suction mufflers should be designed for high noise reduction.
Choi, Dong Wook, Lee, Jin Woo
core  

BESO and SESO: Comparative Analysis of Spatial Structures Considering Self-Weight and Structural Reliability

Applied Sciences
A comparative analysis between Bidirectional Evolutionary Structural Optimization (BESO) and Smoothing-ESO (SESO), simultaneously considering Reliability-Based Topology Optimization (RBTO) and the structure’s self-weight in the case of three-dimensional ...
Hélio Luiz Simonetti, Valério S. Almeida, Francisco de Assis das Neves, Sina Zhian Azar, Márcio Maciel da Silva   +4 more
doaj   +1 more source

Seamless Mechanical Programming Through Hybrid Epoxy–Acrylate Printing for Soft–Rigid Robots

Advanced Materials, EarlyView.
Hybrid epoxy‐acrylate printing enables seamless fabrication of soft–rigid robotic systems with covalently integrated interfaces and functionally graded mechanics. Grayscale exposure expands the accessible material space, enabling spatially programmed actuation through patterned stiffness while revealing the mechanics and durability of continuously ...
David C. Bershadsky, Franz A. Stolpen, Zachariah A. Page, Lillian Chin   +3 more
wiley   +1 more source

Parallel Computed Reliability-Based Topology Optimization Using Response Surface Method

, 2005
One probabilistic design method is the Reliability-Based Design Optimization (RBDO) which has probabilistic constraints considering the probability of the satisfaction/failure of constraints.
Semyung Wang, Ilhan Hwang, Chwail Kim, Jonghyun Lee   +3 more
core  

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Collaborative Optimization of Dynamic Characteristics and Armature Structural Safety in Electromagnetic Repulsion Mechanisms

Energies
As a driving mechanism, the electromagnetic repulsion mechanism has been widely used in mechanical switches, such as circuit breakers, current limiters, and bypass switches, owing to its high closing speed and large output force.
Wenying Yang, Fansong Meng, Guofu Zhai
doaj   +1 more source