Results 241 to 250 of about 402,431 (257)

Universal Neuromorphic Element: NbOx Memristor with Co‐Existing Volatile, Non‐Volatile, and Threshold Switching

Advanced Functional Materials, EarlyView.
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley   +1 more source

A Van der Waals Optoelectronic Synapse with Tunable Positive and Negative Post‐Synaptic Current for Highly Accurate Spiking Neural Networks

Advanced Functional Materials, EarlyView.
A van der Waals optoelectronic synaptic device based on a ReS2/WSe2 heterostructure and oxygen‐treated h‐BN is presented, which enables both positive and negative PSCs through photocarrier polarity reversal. Bidirectional plasticity arises from gate‐tunable band bending and charge trapping‐induced quasi‐doping.
Hyejin Yoon, Soeun Park, Yeong Kwon Kim, Juhwan Baek, Ki Han Kim, Seongil Yun, Hyeonchang Son, Jeongeun Choi, Byung Chul Jang, Dong‐Ho Kang   +9 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

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Learning Analytics

Proceedings of the Fourth International Conference on Engineering & MIS 2018, 2018
During face to face classroom interactions, learning is facilitated through the dissemination of course materials by subject specialists, in a pedagogical manner, suiting the pace of the learners. It is known that proper interactions with contents, tutors and peers encourage learning to take place.
Bodong Chen, Chih-Ming Chen, Huang-Yao Hong, Ching Sing Chai   +3 more
  +8 more sources

Learning Analytics

Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality, 2019
This document presents the main topics and objectives of the seventh edition of the Track on Learning Analytics within the 2019 International Conference Technological Ecosystems for Enhancing Multiculturality (TEEM'19). The introductory article also details the review process followed for submission of contributions and gives an overview of the ...
Miguel Á. Conde, Ángel Hernández-García   +1 more
  +4 more sources

Learning analytics

Proceedings of the 5th International Conference on Technological Ecosystems for Enhancing Multiculturality, 2017
Learning Analytics: Weten we in welke mate de grootschalige investeringen in training en opleiding renderen? Hoe analyseren we dat? En wat zijn de invloeden die het beeld van de uitkomsten kunnen vertekenen?Training en opleiding worden in veel onderzoek als een belangrijke HR-praktijk gezien richting het verbeteren van bedrijfsprestaties.
Miguel Á. Conde, Ángel Hernández-García   +1 more
  +5 more sources

Learning analytics

Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality, 2016
Learning analytics is not a trend anymore. It is a must in education. Whenever we hear about the use of information technologies in education, the term learning analytics is mentioned. However, learning usually comes more as an afterthought than a core part of educational processes involving the use of IT.
ángel Hernández-García, Miguel Á. Conde   +1 more
openaire   +2 more sources

Learning Analytics for Learning Blogospheres

2012
In blogospheres the learning process is characterized by evolving roles of bloggers and dynamic change of content. Existing approaches for learning blogospheres do not provide a comprehensive solution to dealing with these dynamics. In this paper, we propose a learning analytics approach for learning blogospheres unifying two complementary perspectives:
Pham M.C., Derntl M., Cao Y., Klamma R.
openaire   +1 more source