Results 81 to 90 of about 146,915 (245)

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Anomalous diffusion of nanoparticles in the spatially heterogeneous biofilm environment. [PDF]

iScience, 2023
Coppens B, Belpaire TER, Pešek J, Steenackers HP, Ramon H, Smeets B.   +5 more
europepmc   +1 more source

Chemically Doped Conductive Polymers for Wearable Health Monitoring

Advanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo, Jian Song, Hong Hu, Le Zheng, Lei Zhang, Charles H. Lawrie   +5 more
wiley   +1 more source

Anomalous Diffusion of Polyelectrolyte Segments on Supported Charged Lipid Bilayers. [PDF]

Entropy (Basel), 2023
Yu S, Zhao J, Chu R, Li X, Wu G, Meng X.
europepmc   +1 more source

Anomalous diffusion in the dynamics of complex processes

, 2009
Anomalous diffusion, process in which the mean-squared displacement of system states is a non-linear function of time, is usually identified in real stochastic processes by comparing experimental and theoretical displacements at relatively small time ...
A. A. Ovchinnikov, C. H. Scholz, H. G. Schuster, L. Telesca, M. H. Vainstein, P. Bak, Pavel I. Misurkin, R. M. Yulmetyev, S. F. Timashev, S. F. Timashev, Serge F. Timashev, Sergey G. Lakeev, T. Belloni, V. S. Vladimirov, Yuriy S. Polyakov   +14 more
core   +2 more sources

Periodic orbit theory of anomalous diffusion

Physical Review Letters, 1993
CYCLER Paper ...
ARTUSO, ROBERTO, CASATI G., LOMBARDI R.
openaire   +4 more sources

PearSAN: A Machine Learning Method for Inverse Design Using Pearson Correlated Surrogate Annealing

Advanced Optical Materials, EarlyView.
A machine learning–assisted inverse design framework is introduced to overcome the curse of dimensionality in complex nanophotonic design problems. By leveraging Pearson‐correlated surrogate annealing (PearSAN) method within a generative latent space, rapid convergence toward optimal thermophotovoltaic metasurface designs is achieved, enabling precise ...
Michael Bezick, Blake A. Wilson, Vaishnavi Iyer, Yuheng Chen, Vladimir M. Shalaev, Sabre Kais, Alexander V. Kildishev, Brad Lackey, Alexandra Boltasseva   +8 more
wiley   +1 more source

Heart Failure Evolution Model Based on Anomalous Diffusion Theory. [PDF]

Entropy (Basel), 2022
Walczak AA.
europepmc   +1 more source

Caspase‐3/GSDME‐Mediated Trophoblast Pyroptosis and Reciprocal Macrophage Polarization Contribute to Inflammation in Early‐Onset Preeclampsia

Advanced Science, EarlyView.
In trophoblast cells, T/S (TNFα + SM164) activated caspase‐3, which cleaved GSDME to switch apoptosis to pyroptosis, causing cell swelling, membrane rupture, and release of LDH, HMGB1, IL‐1β and IL‐18. These cytokines induced pro‐inflammatory macrophage polarization, which in turn reinforced pyroptotic signaling in trophoblasts, amplifying systemic ...
Baoying Huang, Weinan Deng, Shilei Bi, Yifan Wang, Zhaowei Tu, Lijun Huang, Lili Du, Lizi Zhang, Zhoushan Feng, Wei Sun, Tengfei Liu, Julia Kzhyshkowska, Haibin Wang, Jingsi Chen, Dunjin Chen, Shuang Zhang   +15 more
wiley   +1 more source

Bayesian deep learning for error estimation in the analysis of anomalous diffusion. [PDF]

Nat Commun, 2022
Seckler H, Metzler R.
europepmc   +1 more source