Results 131 to 140 of about 5,189 (258)

Strain Tuning the Occupation of Candidate Topological Weyl States in W‐Doped MoTe2

open access: yesAdvanced Science, EarlyView.
The present study investigates strain‐induced modifications of the electronic structure in the Weyl semimetal Td${\rm T}_d$‐Mo0.91W0.09Te2${\mathrm{Mo}}_{0.91}{\mathrm{W}}_{0.09}{\mathrm{Te}}_{2}$ using hard X‐ray angle‐resolved photoemission spectroscopy.
Amon Lanz   +21 more
wiley   +1 more source

Bridged h‐BN Nanosheets Coatings: Simultaneous Shielding Atomic‐Oxygen Irradiation and Achieving Superior Friction Performance

open access: yesAdvanced Science, EarlyView.
ABSTRACT To confront extreme space environments, a combination of inorganic and organic coatings can provide a pathway for offering highly durable radiation resistance and anti‐friction simultaneously. Herein, a strong interfacial 3D hydrogen‐bonding network is designed to create robust hexagonal boron nitride (h‐BN) based polymer coatings with ...
Zhuoyi Li   +7 more
wiley   +1 more source

Real-time state estimation in a flight simulator using fNIRS. [PDF]

open access: yesPLoS One, 2015
Gateau T   +4 more
europepmc   +1 more source

Membrane Fusion‐Mediated Cytosolic Delivery of Threose Nucleic Acids via Homotypic Nanoparticles Overcomes Drug Resistance in Triple‐Negative Breast Cancer

open access: yesAdvanced Science, EarlyView.
This study introduces a biomimetic “nanofusion” platform that integrates the biostability of threose nucleic acids (TNA) with homotypic cell‐membrane cloaking to combat drug‐resistant TNBC. By leveraging a non‐canonical membrane‐fusion pathway for direct cytosolic delivery, the platform bypasses endosomal sequestration. To achieve potent AKT2 silencing
Wei Zheng   +7 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

A Review of Failure Modes and Safety Strategies of Lithium‐Ion Batteries from Materials to Systems

open access: yesAdvanced Science, EarlyView.
A cascade‐aware framework is presented for lithium‐ion battery safety, linking thermal runaway initiation, acceleration, runaway reaction, and propagation with material‐, cell/pack‐, and system‐level interventions. By integrating failure mechanisms, quantitative safety indicators, and staged interception strategies, this review highlights how safer ...
Jin Hyeok Yang   +8 more
wiley   +1 more source

Flight Test of In-Flight Simulator Controller

open access: yesNCTAM papers, National Congress of Theoretical and Applied Mechanics, Japan, 2008
SATO, MASAYUKI, SATOH, ATSUSHI
openaire   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

open access: yesAdvanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu   +5 more
wiley   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

open access: yesAdvanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe   +4 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

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