Results 151 to 160 of about 4,571,328 (203)

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Amorphous Tungsten Driving Extraordinary Long‐Range Interlayer Exchange Coupling and Large Spin‐Orbit Torque

Advanced Electronic Materials, EarlyView.
The amorphous tungsten (W) is found to be a promising non‐magnetic interlayer simultaneously driving the long‐range interlayer exchange coupling and the large spin Hall effect in a synthetic antiferromagnet (SyAF). Thanks to these characteristics, efficient spin‐orbit torque switching is achieved in the SyAF.
Xueyao Hou, Keita Ito, Varun K. Kushwaha, Takumi Yamazaki, Junwei Gu, Zhenchao Wen, Keisuke Masuda, Jun Okabayashi, Shoya Sakamoto, Takeshi Seki   +9 more
wiley   +1 more source

Dual‐Mode Optoelectronic Synapse Based on Ultrathin InxTiyO Films for In‐Sensor Neuromorphic Computing and Physical Image Encoding

Advanced Electronic Materials, EarlyView.
An ultrathin InxTiyO‐based optoelectronic synaptic device enables dual‐mode electrical and optical synaptic responses through charge‐trapping‐mediated conductance modulation. Multilevel conductance states further enable physical image encoding, converting visual information into spatial current distributions.
Chaerin Yu, Jung Wook Lim
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Breaking the Durability–Power Trade‐Off: Boron‐Directed Faceted O3 Cathodes for High‐Rate Sodium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song, Alexis Manche, Dongrui Xie, Bowen Liu, Chenglong Wu, Bo Dong, Reda Malakauskaite, Manoj Ovhal, David O. Scanlon, Emma Kendrick   +9 more
wiley   +1 more source

Model predictive control with inline parameter adaptation for direct crystal growth rate regulation

AIChE Journal, EarlyView.
Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
wiley   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

Advanced Intelligent Discovery, EarlyView.
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer, André Orth, Robert Wang, Ben Breitung, Simon Schweidler, Jasmin Aghassi‐Hagmann, Markus Reischl   +6 more
wiley   +1 more source

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On the Completeness of Fuzzy Measure-Space

Fuzzy Sets and Systems, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guang-Quan Zhang
exaly   +2 more sources

A Note on the Space of Fuzzy Measurable Functions for a Monotone Measure

Fuzzy Sets and Systems, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Congxin Wu, Xuekun Ren
exaly   +3 more sources