Results 141 to 150 of about 4,727,432 (231)

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling [PDF]

, 2017
We study the problem of 3D object generation. We propose a novel framework, namely 3D Generative Adversarial Network (3D-GAN), which generates 3D objects from a probabilistic space by leveraging recent advances in volumetric convo-lutional networks and ...
Wu, Jiajun, Freeman, William T., Zhang, Chengkai, Xue, Tianfan, Tenenbaum, Joshua B.   +4 more
core  

Framework Flexibility on Water Sorption and Transport in ZIF‐90: Insights from Neural‐Network Molecular Dynamics

Advanced Materials Interfaces, EarlyView.
A DeepMD‐based molecular dynamics framework is developed to investigate water adsorption in ZIF‐90, explicitly accounting for framework flexibility. Results show that atomistic flexibility significantly influences adsorption energetics, diffusion, and structural correlations, yielding nearly constant heat of adsorption and enhanced mobility.
Nick Mackus, Ionut Tranca, Veerapandian Ponnuchamy, Silvia Gaastra‐Nedea   +3 more
wiley   +1 more source

Thermal Enhancement of TADF‐OLED Performance: Size of Active Area Matters

Advanced Materials Interfaces, EarlyView.
Large‐area TADF‐based OLEDs can be used as thermally assisted light‐emitting devices, in which moderate waste heat can partially compensate for efficiency losses associated with increasing active area. ABSTRACT Temperature significantly impacts the performance of light‐emitting diodes, typically causing degradation as they heat up. However, OLEDs using
Demyd V. Pekur, Denis M. Khmil, Petro S. Smertenko, Alexander N. Fedoryak, Chih‐Hung Ko, Chih‐Hao Chang, Dovydas Blazevicius, Gintare Krucaite, Saulius Grigalevicius, Oleg P. Dimitriev   +9 more
wiley   +1 more source

Cloud drift optimization algorithm as a nature-inspired metaheuristic

Discover Computing
This study introduces the Cloud Drift Optimization (CDO) algorithm, an innovative nature-inspired metaheuristic approach to solving complex optimization problems.
Mohammad Alibabaei Shahraki
doaj   +1 more source

Statistical convergence in strong topology of probabilistic normed spaces

, 2014
Following the concept of statistical convergence, we define and study statistical analog concepts of convergence and Cauchy's sequence on a probabilistic normed space that is endowed with a strong topology. Some important properties of statistical convergence have been extended in this new setting.
Lafuerza Guillén, Bernardo, Rafi S. Rahmat, Mohammed   +1 more
openaire   +1 more source

Spheroid‐On‐A‐Drop: A Modular Droplet Microfluidics Platform

Advanced Materials Technologies, EarlyView.
The proposed Spheroid‐on‐a‐Drop platform represents a reproducible and tunable platform for the fabrication of biocompatible GelMA‐based microgels, able to support controlled 3D tumor spheroid culture. Its precise control over droplet dynamics and cell distribution paves the way for advanced applications in tissue modeling, drug screening, and ...
A. Fergola, V. Vighetto, G. Mesiano, A. Cosola, S. L. Marasso, M. Cocuzza, C. F. Pirri, L. Napione, F. Frascella   +8 more
wiley   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source

Strain‐Activated Mechanical Metamaterial With Programmable Dual‐Phase Stiffness and Enhanced Energy Absorption

Advanced Materials Technologies, EarlyView.
A strain‐activated mechanical metamaterial is developed to achieve programmable dual‐phase stiffness through an intrinsic geometric locking mechanism. Finite element modeling and parametric analysis identify the key design parameters governing activation strain, stiffness transition, and energy absorption.
Ramin Yousefi‐Nooraie, Romain Lemoine, Mario Guagliano, Sara Bagherifard   +3 more
wiley   +1 more source

Spatial HAC estimator: analysis of convergence of European regions [PDF]

This paper applies a nonparametric heteroskedasticity and autocorrelation consistent (HAC) estimator of error terms in the context of the spatial autoregressive model of GDP per capita convergence of European regions at NUTS 2 level.
Oleksandr Shepotylo
core