Results 231 to 240 of about 81,228 (300)

Combining machine learning and physiological network models for sepsis prediction. [PDF]

Front Netw Physiol
Backes J, Tsanda A, Knopp T, Renz W, Schöll E.   +4 more
europepmc   +1 more source

Competing Charge Separation Pathways Govern Charge Generation in Organic Photovoltaic Blends: Insights From Transient Electron Spin Resonance

Advanced Energy Materials, EarlyView.
Transient electron spin resonance distinguishes interfacial charge‐transfer states from separated charges, revealing competing charge separation pathways in organic photovoltaic blends. The relative contributions of fast charge separation and a pathway mediated by spin‐polarized charge‐transfer states vary across different blends, with high‐efficiency ...
Jack M. S. Palmer, Claudia E. Tait
wiley   +1 more source

Chaotic and dynamic vibration analysis of a time-delayed nonlinear mathieu oscillator via non-perturbative approach. [PDF]

Sci Rep
Moatimid GM, Amer TS, Mohamed YM.
europepmc   +1 more source

Descriptor‐Guided Computational Screening of Non‐Fullerene Acceptor Cores for Organic Solar Cells

Advanced Energy Materials, EarlyView.
We screen over 4000 non‐fullerene acceptors using their ionization energy, electron affinity, quadrupole, and dipole moments to select the top‐ten candidates for a given donor polymer. The workflow recovers known high‐performance motifs and reveals how molecular components influence material properties.
Kun‐Han Lin, J. Terence Blaskovits, Wenlan Liu, Shu‐Yi Hu, Kuei‐Jhong Lin, Sandeep Sharma, Julien Gorenflot, Martin Heeney, Frédéric Laquai, Denis Andrienko   +9 more
wiley   +1 more source

Phase-noise and stability comparison of fiber-loop and integrated-waveguide coupling in optomechanical crystal oscillators. [PDF]

Sci Rep
Ortiz R, Yang X, Martínez A, Mercadé L.   +3 more
europepmc   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Modelling brain metabolism with interacting nonautonomous phase oscillators. [PDF]

Front Netw Physiol
Barnes SJK, Echeverría A, Hawley J, Suprunenko YF, Stefanovska A.   +4 more
europepmc   +1 more source

Accurate and Anti‐Interference Control of Computer Vision‐Assisted Light‐Driven Liquid Crystal Elastomer Actuator

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article introduces a computer vision‐assisted control strategy for light‐driven liquid crystal elastomer actuators. Through negative feedback regulation, the liquid crystal elastomer actuator exhibits accurate and stable bending deformation in complex environments.
Wei Zhang, Zongxuan Wu, Li Lin, Yanjun Liu, Xiaoying Tang, Yajing Shen, Dan Luo   +6 more
wiley   +1 more source

Ideal Heat Engine Cycles at Maximal Efficiency-The Ideal Gas and Beyond. [PDF]

Entropy (Basel)
Behrendt G, Deffner S.
europepmc   +1 more source

Inverse problems for dynamic patterns in coupled oscillator networks: when larger networks are simpler. [PDF]

Nat Commun
Omel'chenko OE.
europepmc   +1 more source