Results 71 to 80 of about 452 (202)

Uniaxial Strain‐Driven Ferroelastic Domain Tuning in LaAlO3${\rm LaAlO}_3$

Advanced Science, EarlyView.
The present work demonstrates based on AFM, μ$\umu$‐Raman spectroscopy, XRD, and first‐principles, that uniaxial strain provides a handle for tuning the ferroelastic domain populations in lanthanum aluminate, driving a continuous and controlled phase transition from a four‐variant rhombohedral crystal system to a two‐variant orthorhombic crystal system
Matthias Roeper, Robin Buschbeck, Jakob Wetzel, Tobias Ritschel, Anna‐Lena Hofmann, Vladyslav Kovtunovych, Mike N. Pionteck, Javier Taboada‐Gutiérrez, Alexey B. Kuzmenko, Martina Basini, Vivek Unikandanunni, Iuliia Kiseleva, Jochen Geck, Susanne C. Kehr, Maximilian Lederer, Simone Sanna, Lukas M. Eng, Samuel D. Seddon   +17 more
wiley   +1 more source

The Politics in Question: Edges of the Common in the Work of Jacques Rancière

Oxímora. Revista Internacional de Ética y Política, 2018
This work recomposes the question of the common in contemporary political theory from the thought of Jacques Rancière. We observe that the common does not contain a principle or content of its own, nor is it constituted as an inherent feature of man in ...
Mariana Berdondini, Lucía Vinuesa
doaj   +1 more source

Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning

Advanced Science, EarlyView.
A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo, Peter Serles, Donggeun Park, Julia R. Greer, Seunghwa Ryu   +4 more
wiley   +1 more source

Physics‐Guided Multi‐Channel Restoration for Efficient and Accurate Atomic Force Microscopy Imaging

Advanced Science, EarlyView.
Schematic figure of restoring noisy atomic force micrscopy (AFM) image via physics‐guided multi‐channel restoration. The lighter neural network models with multiple‐channel input from auxiliary signals outperforms heavier model with single‐channel input.
Jaeuk Sung, Hongseok Kim, Seungjae Heo, Jin Tae Moon, Jangwoo Ko, Panithan Sriboriboon, Dong‐Gyu Lee, Sanghyun Jo, Hee Han, Jungho Ryu, Woo Lee, Jinseong Heo, Hyun‐Cheol Song, Yunseok Kim   +13 more
wiley   +1 more source

Biobased Boston Ivy‐Inspired Cryogel Integrating Radiative Cooling and Phase Change Energy Storage for Adaptive Thermal Regulation

Advanced Science, EarlyView.
A bionic cryogel containing phase‐change materials that provides daytime radiative cooling and nighttime heat release is developed to promote environmentally sustainable and comfortable housing and living environments with reduced building energy demand.
Sining Huang, Zhiguo Li, Yang Liu, Chengyu Wang, Yi Lu, Erlantz Lizundia, Siqi Huan   +6 more
wiley   +1 more source

ORÇAMENTO PÚBLICO: modelos, desafios e crítica

Revista de Políticas Públicas, 2014
The article analyzes the models imposed by organic intellectuals to peripheral economies, shaping them to meet the large capital. It explores and criticizes the challenges on these ideals budget models practiced in pursuit of transpar ency that more ...
Nelson Corrêa Viana
doaj  

Data‐Driven and Physics‐Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence

Advanced Science, EarlyView.
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui, Yunyi Wang, Teng Zhang, Yang Chen, Min Pan   +4 more
wiley   +1 more source

An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization

Advanced Science, EarlyView.
An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang, Yanting Xu, Yue Zhang, Yan Zhang, Jianfeng Li, Ming Li, Longlin Lei, Wenda Bao, Weixuan Zeng, Shisheng Xiong   +9 more
wiley   +1 more source

Enhancing Surface Icephobic Performance via Spontaneous Fracture Characteristics of Ice Crystals Regulated by Structural Scale Under Shear Flow Conditions

Advanced Science, EarlyView.
Aerodynamic shear induces spontaneous ice fracture and detachment on hydrophobic surfaces, governed by the interplay between initial ice‐crystal size, growth orientation, and interfacial adhesion. Unexpectedly, microstructural anchoring on superhydrophobic surfaces suppresses ice shedding.
Jiawei Jiang, Yizhou Shen, Yangjiangshan Xu, Junxian Xiang, Weilan Liu, Senyun Liu, Lingfeng Zhao, Jie Tao, Zhong Chen   +8 more
wiley   +1 more source

Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons

Advanced Science, EarlyView.
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley   +1 more source