Results 51 to 60 of about 19,009 (219)

Mesoporous PU/PEDOT:PSS Electrodes Reveal Population‐Level Stochastic Bioelectrical Dynamics in Marine Diatoms

Advanced Science, EarlyView.
Mesoporous mixed ionic‐electronic PU/PEDOT: PSS electrodes enable label‐free detection of stochastic extracellular bioelectrical dynamics in living Phaeodactylum tricornutum. Living diatoms actively modulate interfacial ionic dynamics, establishing stochastic electrochemical noise as a sensitive probe of microbial bioelectrochemical activity and a new ...
David M. S. Silva, Felipe L. Bacellar, Raquel Amaral, Louis‐Josselin Lavier‐Aydat, Luísa Cortes, Kamal Asadi, Leïla Tirichine, Paulo R. F. Rocha   +7 more
wiley   +1 more source

Non-Markovian dynamics of a three-level atom in a stochastic field with finite correlation time due to initial correlations [PDF]

EPJ Web of Conferences, 2019
Dynamics of a three-level atom interacting with a stochastically fluctuating environment characterized by finite correlation time is investigated in the cases of a product initial state and a correlated initial state.
Mikhailov Victor, Troshkin Nikolay
doaj   +1 more source

Static Drainage H2/O2 PEM Fuel Cells Enabled by Water Transport Plates: Pore‐Scale Design and Transport Mechanisms

Advanced Science, EarlyView.
The WTP is a key component of static drainage PEMFCs, enabling cathode water removal and gas sealing through capillary forces. This work investigates the mechanisms governing WTP drainage and sealing performance and develops predictive approaches for WTP design optimization.
Mengdi Guo, Diankai Qiu, Dong Zhu, Linfa Peng   +3 more
wiley   +1 more source

A Multi‐Scale Computational Framework for Evaluating Wireless Neuromodulation Feasibility via Magnetoelectric Nanoparticles

Advanced Science, EarlyView.
A multiscale computational framework links single‐nanoparticle magnetoelectric behavior to tissue‐level electric field distributions, integrating experimental data from nanoparticle characterization and in vitro stimulation setups. Applied to a cortical slice configuration, the framework predicts optimal MENP concentrations and stimulation parameters ...
Marta Bonato, Elric Zhang, Emma Chiaramello, Serena Fiocchi, Giulia Suarato, Valentin Gantenbein, Nathalia Cancino‐Fuentes, Alejandro Suarez‐Perez, Maria V. Sanchez‐Vives, Salvador Pané, Marta Parazzini   +10 more
wiley   +1 more source

Self‐Sustaining Sensing Systems: Integration Strategies and Signal–Power Matching in Energy‐Harvesting Electronics

Advanced Science, EarlyView.
Energy‐harvesting‐integrated sensors couple ambient energy conversion with sensing, processing, and wireless communication. This review organizes recent progress through integration architectures and operating principles, revisiting co‐packaged, monolithic, and co‐functional designs together with always‐on, event‐driven, and multi‐modal sensing modes ...
Taehyun Park, Ki‐Yoon Park, Yeonho Choi, Dong‐Myeong Shin, Hong‐Joon Yoon, Hocheon Yoo   +5 more
wiley   +1 more source

Re‐Thinking Electronic Circuit Design Through Emerging Reconfigurable Field Effect Transistors

Advanced Science, EarlyView.
Graphical illustration of reconfigurable field effect transistor (RFET) operation modes, including n‐type, p‐type, and ambipolar transport, as well as their areas of application discussed in this review: digital circuit design, analog circuit design, post‐Shannon computing, and sensing. ABSTRACT Reconfigurable field‐effect transistors, short RFETs, are
Jens Trommer, Juan P. Martinez, Yuxuan He, Giulio Galderisi, Katrin Pingen, Eduardo Sergio Oliveros‐Mata, Lisa Tellis, Cigdem Cakirlar, Christoph Beyer, Brojogopal Sapui, Joachim Knoch, Klaus Hofmann, Sandro Carrara, Eugenio Cantatore, Max C. Lemme, Ian O'Connor, Akash Kumar, Andre Heinzig, Thomas Mikolajick, Walter M. Weber   +19 more
wiley   +1 more source

Analytical Prediction of Critical Transitions in Oscillator Networks With Non‐Local Links

Advanced Science, EarlyView.
An analytical framework reveals how global coupling, second‐harmonic strength, noise, and network structure govern oscillator‐based Ising dynamics. Spectral reduction predicts stability boundaries, while Fokker–Planck analysis captures one‐ to two‐cluster transitions and identifies conditions favoring low‐energy configurations.
Qiang Li, Chumin Sun, David Waxman, Renaud Lambiotte, Jie Sun, Peng Ji   +5 more
wiley   +1 more source

Hardware‐Native Gaussian Sampling With Probabilistic Ising Machines for Modern Communication Paradigms

Advanced Science, EarlyView.
Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues, Andrea Grimaldi, Deborah Volpe, Youwei Bao, Shuhan Yang, Eleonora Grassucci, Giulio Siracusano, Massimo Chiappini, Mario Carpentieri, Hyunsoo Yang, Giovanni Finocchio   +10 more
wiley   +1 more source

A Compact and Fast Single‐Spike TTFS Encoder With Ultralow Operating Voltage for Efficient Neuromorphic Fourier Transform

Advanced Science, EarlyView.
A Pt/TaOx/V single‐spike TTFS encoder achieves ultralow‐voltage (∼0.35 V), high‐speed (∼100 ns) operation with simplified circuitry. Integrating bipolar nonuniform temporal encoding with a spiking‐DFT neuron model enables a neuromorphic FFT framework. Device‐calibrated simulations demonstrate high spectral fidelity across multitone, speech, and chirp ...
Yang Wu, Qi Wei, Junfeng Zhang, Lirou Su, Ning Mao, Beibei Huang, Jiaying Chen, Dian Huang, Shengzhong Feng, Yishu Zhang, Shuai Zhong   +10 more
wiley   +1 more source

Predictable and non-stationary processes of interval PREDICTION BASED ON stochastic differential equations

Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019
The task of interval prediction of non-stationary processes of stochastic differential equations described by models is considered. Predictability of such processes is defined.
A. V. Ausiannikau
doaj