Results 281 to 290 of about 2,291,078 (312)

Neuromorphic Light‐Responsive Organic Matter for in Materia Reservoir Computing

Advanced Materials, EarlyView.
In this work we show that light‐responsive adaptive organic matter can store and process information at the matter level, and emulate neuromorphic functionalities such as short term memory, long term memory and visual memory. Besides demonstrating that material dynamics can be exploited for spatio‐temporal event detection and motion perception, we show
Federico Ferrarese Lupi, Mateo Rosero‐Realpe, Antonio Ocarino, Francesca Frascella, Gianluca Milano, Angelo Angelini   +5 more
wiley   +1 more source

Harnessing Synergistic Cooperation of Neighboring Active Motifs in Heterogeneous Catalysts for Enhanced Catalytic Performance

Advanced Materials, EarlyView.
This review examines the critical role of neighboring active motifs in heterogeneous catalysts, emphasizing how their synergistic cooperativity can be rationally designed to modulate catalytic properties. The discussion centers on the modulation of electronic and geometric structures, categorizing the catalytic systems into metal‐acid (Brønsted/Lewis ...
Peng Yuan, Ching Kit Tommy Wun, Tsz Woon Benedict Lo   +2 more
wiley   +1 more source

Toward Zero‐Excess Alkali Metal Batteries: Bridging Experimental and Computational Insights

Advanced Materials, EarlyView.
This review explores zero‐excess alkali metal batteries, highlighting anode–electrolyte interfaces, metal nucleation, dendrite growth, and SEI formation while comparing Li, Na, and K metals. It critically examines electrolyte and separator roles, emphasizing substrate design, electrolyte modifications, interfacial engineering, and solid‐state ...
Pan He, Neubi Francisco Xavier Jr, Matthias Johannes Golomb, Yupei Han, Yuheng Du, Qiong Cai, Yang Xu   +6 more
wiley   +1 more source

Unperceivable Designs of Wearable Electronics

Advanced Materials, EarlyView.
Unperceivable wearable technologies seamlessly integrate into everyone's daily life, for healthcare and Internet‐of‐Things applications. By remaining completely unnoticed both visually and tactilely, by the user and others, they ensure medical privacy and allow natural social interactions.
Yijun Liu, Séverine De Mulatier, Naoji Matsuhisa   +2 more
wiley   +1 more source

Disordered Rocksalts as High‐Energy and Earth‐Abundant Li‐Ion Cathodes

Advanced Materials, EarlyView.
Disordered rocksalts with lithium excess (DRX) offer a new direction in Li‐ion cathode design beyond conventional Ni‐ and Co‐based materials. This review highlights the design principles, synthesis strategies, and performance optimization of DRX oxides and oxyfluorides for energy‐dense, sustainable batteries using Earth‐abundant transition metals and ...
Han‐Ming Hau, Tucker Holstun, Eunryeol Lee, Bernardine L. D. Rinkel, Tara P. Mishra, Max Markuson DiPrince, Rohith Srinivaas Mohanakrishnan, Ethan C. Self, Kristin A. Persson, Bryan D. McCloskey, Gerbrand Ceder   +10 more
wiley   +1 more source

Detecting Cr6+ at ≈100 pM Concentration with Fluorescence Enhancement Signatures in a Novel Eco‐Fluorophore: Matching WHO's 96 pM Recommended Standard for Drinking Water

Advanced Materials, EarlyView.
Through a dual‐functionalization strategy, carbon quantum dots (CQD) with exceptional fluorescence properties are engineered. These CQD are integrated with graphitic carbon nitride to form a 2D/2D heterostructure via both covalent and non‐covalent modification.
Pegah Zandi, Arindam Phani, Seonghwan Kim   +2 more
wiley   +1 more source

Enhance sentiment analysis in big data tourism using hybrid lexicon and active learning support vector machine

Ni Wayan Sumartini Saraswati, I Ketut Gede Darma Putra, Made Sudarma, I Made Sukarsa   +3 more
openalex   +1 more source

Machine learning for active matter [PDF]

Nature Machine Intelligence, 2020
The availability of large datasets has boosted the application of machine learning in many fields and is now starting to shape active-matter research as well. Machine learning techniques have already been successfully applied to active-matter data—for example, deep neural networks to analyse images and track objects, and recurrent nets and random ...
Frank Cichos, Kristian Gustavsson, Bernhard Mehlig, Giovanni Volpe   +3 more
openaire   +2 more sources

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Active Learning for Neural Machine Translation

2018 International Conference on Asian Language Processing (IALP), 2018
Neural machine translation (NMT) normally requires a large bilingual corpus to train a high-translation-quality model. However, building such parallel corpora for many low-resource language pairs is rather expensive. In this paper, we propose to select informative source sentences to build a parallel corpus under the active learning framework so as to ...
Pei Zhang, Xueying Xu, Deyi Xiong
openaire   +3 more sources

An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization

, 2021
The use of machine learning (ML)-based surrogate models is a promising technique to significantly accelerate simulation-driven design optimization of internal combustion (IC) engines, due to the high computational cost of running computational fluid ...
Opeoluwa Owoyele, P. Pal, A. V. Torreira
semanticscholar   +1 more source