Results 71 to 80 of about 779,800 (277)

Nanothermometry in Living Cells: Physical Limits, Conceptual and Material Challenges

Advanced Functional Materials, EarlyView.
Heat and temperature are fundamental to life. When nanothermometers began probing regions as small as a living cell, they triggered controversial claims of large intracellular temperature gradients. We review physical constraints energy‐conservation, entropy production, thermodynamic fluctuations, and molecular dynamics.
Taras Plakhotnik
wiley   +1 more source

Application of artificial neural networks in modeling and optimization of biofuels production [PDF]

Journal on Processing and Energy in Agriculture, 2017
Artificial neural networks, the artificial intelligence systems that imitate functions of biological neurons, have been widely used in different areas due to their variety and ability to conform to specificities of different applications.
Pajčin Ivana, Grahovac Jovana, Dodić Jelena, Jokić Aleksandar, Dodić Siniša, Vučurović Damjan, Milović Nemanja   +6 more
doaj   +1 more source

Maximum Resilience of Artificial Neural Networks

, 2017
The deployment of Artificial Neural Networks (ANNs) in safety-critical applications poses a number of new verification and certification challenges. In particular, for ANN-enabled self-driving vehicles it is important to establish properties about the ...
IE Grossmann, L Pulina, L Pulina, N Bjørner, S Rajan, Y Xu, YS Abu-Mostafa   +6 more
core   +1 more source

The Cuttlebone Blueprint for Multifunctional Metamaterials: Design Taxonomy, Functional Decoupling, and Future Horizons

Advanced Functional Materials, EarlyView.
Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Artifact‐Minimizing Ultrathin Transparent Electrodes Fabricated via iCVD for In Vivo Optogenetic Stimulation and Neural Signal Monitoring of Primary Visual Cortex

Advanced Functional Materials, EarlyView.
We present ultrathin flexible transparent electrodes through iCVD‐enabled molecular control of 10 nm gold films on poly(dimethylaminomethylstyrene). In vivo validation demonstrated photoelectric artifact reduction vs. opaque electrodes and preservation of natural neural dynamics.
Tae Jin Mun, Minju Kim, Chaesung Kim, Yunyoung Choi, In‐Yeop Baek, Younghak Cho, Gyeongyong Lee, Yerim Jang, Min‐Ho Nam, Wonryung Lee, Maesoon Im, Hyejeong Seong   +11 more
wiley   +1 more source

BEOL‐Compatible Liquid‐Metal‐Printing of Ultrathin 2D Oxide Memtransistors and Its Applications in Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Ultrathin 2D indium oxide memtransistors are reproducibly fabricated via a scalable liquid‐metal‐printing process under ambient, low‐temperature conditions. The devices achieve robust, gate‐tunable bipolar memristive switching with high switching ratios at a BEOL‐compatible maximum processing temperature of 300°C. Governed by trap‐controlled transport,
Sanghyun Moon, Seungyun Lee, Sunghan Cho, Donggyu Lee, Jehwan Park, Seongyun Yang, Jihyun Kim   +6 more
wiley   +1 more source

Harnessing Advanced Neural Architectures: A Comprehensive Approach to Stock Market Prediction Using ANN, BPNN, and GAN [PDF]

SHS Web of Conferences
The advent of advanced neural network models has revolutionized the field of machine learning, enabling breakthroughs in various domains such as computer vision, natural language processing, and predictive analytics.
Wang Yang
doaj   +1 more source

Bio‐Inspired Multimodal Hardware Front‐End Enabled by 2D Floating‐Gate Memory for UAV Perception

Advanced Functional Materials, EarlyView.
A MoS2/h‐BN /graphene floating‐gate memory underpins a bio‐inspired multimodal front end that integrates visual, inertial, and airflow cues. A 4 × 4 FG memory array encodes temporal intensity differences, while IMU‐ and airflow‐driven threshold modulation suppresses self‐motion artifacts, enabling fast, low‐power, robust autonomous UAV tracking and ...
Lianghao Guo, Yue Cheng, Cong Li, Xiaoyu Guo, Jiankai Yin, Dadong Fan, Zhenyu Xu, Chenyu Tang, Arokia Nathan, Shuo Gao, Li Tao, Luigi G. Occhipinti   +11 more
wiley   +1 more source

ANN Based Approach for Estimation of Construction Costs of Sports Fields

Complexity, 2018
Cost estimates are essential for the success of construction projects. Neural networks, as the tools of artificial intelligence, offer a significant potential in this field.
Michał Juszczyk, Agnieszka Leśniak, Krzysztof Zima   +2 more
doaj   +1 more source