Results 131 to 140 of about 105,651 (291)

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

Theme city or gated community - images of future cities [PDF]

open access: yes
The future of the cities has been under discussion since the first city. It has been typical in every civilisation and era to hope for a better city. Creek philosopher Platon created image of future city where all men were equal and the city was ruled by
Helenius-Mäki, Leena
core  

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee   +7 more
wiley   +1 more source

Gated Communities And Sense Of Community: A Review On The Social Features Of Gated Communities

open access: yes, 2016
{"references": ["Austin, D. Mark, L. Allen Furr, and Michael Spine. \"The effects of neighborhood conditions on perceptions of safety.\" Journal of criminal justice 30, no. 5 (2002): 417-427.", "Blakely EJ, Snyder MG, editors. 'Fortress America: gated communities in the United States'.
openaire   +2 more sources

Device‐Level Implementation of Reservoir Computing With Memristors

open access: yesAdvanced Intelligent Systems, EarlyView.
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley   +1 more source

The Implications of Gated Society in Jakarta Metropolitan Region: A Multiple-Case Study in Tangerang District, Banten, Indonesia

open access: yesJurnal Studi Pemerintahan, 2016
This paper argued that the gating system intensifies existing divergence of the gated communities and the kampung communities. The significant dissimilarities between the residents and the dwellers strongly indicate social inequality. The notion of gated
INDAH SURYA WARDHANI
doaj  

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