Results 101 to 110 of about 5,370,474 (291)
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu +6 more
wiley +1 more source
Image-Based Cross-Domain Visual-Data Retrieval with Deep Semantic Correlation Learning [PDF]
Image-based cross-domain retrieval of visual data is performed to identify cross-domain images and three-dimensional model data that are semantically consistent with or similar in appearance to an input image.
JIAO Shichao, GUAN Ripeng, KUANG Liqun, XIONG Fengguan, HAN Xie
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
We mechanically program liquid crystal elastomer coatings as a stimuli‐responsive and digitally addressable platform for refreshable tactile displays; we validate the perceptual performance of our dynamic device matches conventional static tactile media.
Tom Bruining +9 more
wiley +1 more source
Cancer‐associated NPC remodeling creates a high‐flux, low‐stringency nuclear state that supports malignant adaptation but increases mechanical fragility. Targeting the FG‐barrier or NPC scaffold may drive mechanostat failure, envelope rupture, DNA damage, and loss of nuclear integrity.
Sílvio Terra Stefanello +5 more
wiley +1 more source
Artificial Intelligence Meets Micro/Nanorobotics
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 +6 more
wiley +1 more source
Investigating machine learning for virtual wave monitoring
Wave monitoring is a time consuming and costly endeavour which, despite best efforts, can be subject to occasional periods of missing data. This paper investigates the application of machine learning to create”virtual” wave height (Hs), period (Tz) and ...
Cartwright, N, Peach, L, Strauss, D
core +1 more source
Bioengineered Interfaces for Peripheral Nerve Sensory Restoration
Half of amputees abandon their prosthetics for lack of feeling. This review charts the full path from peripheral nerve injury to restored sensation, through surgical, regenerative, noninvasive, and implanted approaches, and shows how injury type and interface material properties determine which strategy can deliver naturalistic feedback, and why ...
Sydney Swedick +4 more
wiley +1 more source
Virtual reality learning software for individuals with intellectual disabilities : comparison between touchscreen and mouse interactions [PDF]
The aim of this article is to analyze the impact of two user interfaces - a tactile interface and a computer mouse - in a virtual environment allowing self-learning tasks, such as dishwashing, by workers with mental deficiencies.
DAMIANO, Romain +4 more
core
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 +5 more
wiley +1 more source

