Results 131 to 140 of about 1,942,647 (283)

Asymptotic Stability in Reservoir Computing

, 2022
Reservoir Computing is a class of Recurrent Neural Networks with internal weights fixed at random. Stability relates to the sensitivity of the network state to perturbations.
Rafayelyan, Mushegh, Unser, Michael, Börve, Erik, Dong, Jonathan   +3 more
core  

Atomic‐Scale Visualization of Topotactic Resistive Switching in Epitaxial La0.5Sr0.5CoOx Neuromorphic Memristors

Advanced Functional Materials, EarlyView.
Forming‐free epitaxial Pt/La0.5Sr0.5CoOx (LSCO)/La0.5Sr0.5MnO3 (LSMO) memristors exhibit heterogeneous and partially reversible topotactic switching involving brownmillerite (BM)‐, Grenier (GN)‐like‐, and perovskite (PV)‐like configurations. Atomic‐resolution scanning transmission electron microscopy and in situ transmission electron microscopy resolve
Zi‐Qin Hong, Yen‐Jung Chen, Shih‐Chao Chang, Jui‐yuan Chen, Jan‐Chi Yang, Wen‐Wei Wu   +5 more
wiley   +1 more source

Re‐Purposing a Modular Origami Manipulator Into an Adaptive Physical Computer for Machine Learning and Robotic Perception

Advanced Science
Physical computing has emerged as a powerful tool for performing intelligent tasks directly in the mechanical domain of functional materials and robots, reducing our reliance on the more traditional CMOS computers.
Jun Wang, Suyi Li
doaj   +1 more source

Magneto‐Ionic Devices With Polymer‐Based Electrolytes

Advanced Functional Materials, EarlyView.
Polymer electrolytes are introduced for magneto‐ionic devices based on hydroxide and hydrogen ions. The magneto‐ionic effect results in a pronounced voltage‐controlled variation of coercivity in both devices. The switching speed is in the range of 100 ms.
Markus Gößler, Richard Weber, Michael Sommer, Karin Leistner   +3 more
wiley   +1 more source

Intracrystalline Void‐Mediated Toughening of Brittle Crystals in Quail Eggshells

Advanced Functional Materials, EarlyView.
In quail eggshells, the high density and disordered arrangement of intracrystalline voids inhibit lattice cleavage, suppress long‐range crack propagation, and promote deformation twinning and quasi‐plasticity, serving as an essential toughening motif. We show that these voids remain within a narrow subcritical size range and therefore predominantly do ...
Jingxiao Zhong, Qihang Wang, Andre E. Vellwock, Sinuhe Perea Puente, Tingting Zhu, Jia Hui Lim, Kadda Medjoubi, Sebastian Hoerl, Erika Griesshaber, Wolfgang W. Schmahl, Yannicke Dauphin, Emeline Raguin, Peter Werner, Francesco Stellacci, Michael V. Swain, Peter Fratzl, Shahrouz Amini   +16 more
wiley   +1 more source

Microfluidic Nano‐Assembly of Red‐Blood‐Cell (RBC) Lipids and Components for Engineering Extracellular Vesicles

Advanced Healthcare Materials, EarlyView.
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj, Xilal Y. Rima, Kim T. Nguyen, Courtney Culkins, Nana Boateng, Jacob Doon‐Ralls, Alejandro Bresolin, Xin Huang, Hong Li, Vahedi Amid, Ajeet Pal Singh, Dharti Shantaram, Anastasiia Amari, Mangesh D. Hade, Nicholas R. Merriam, Zachary D. Schultz, Scott Q. Harper, Nizar Y. Saad, Setty M. Magaña, Willa A. Hsueh, Rachel E. Kopec, Blaise R. Kimmel, Andre F. Palmer, Eduardo Reátegui   +23 more
wiley   +1 more source

Deterministic reservoir computing for chaotic time series prediction

Scientific Reports
Reservoir Computing was shown in recent years to be useful as efficient to learn networks in the field of time series tasks. Their randomized initialization, a computational benefit, results in drawbacks in theoretical analysis of large random graphs ...
Johannes Viehweg, Constanze Poll, Patrick Mäder   +2 more
doaj   +1 more source

Learning from the past: reservoir computing using delayed variables

Frontiers in Applied Mathematics and Statistics
Reservoir computing is a machine learning method that is closely linked to dynamical systems theory. This connection is highlighted in a brief introduction to the general concept of reservoir computing.
Ulrich Parlitz, Ulrich Parlitz
doaj   +1 more source

Engineering Concentration‐Dependent Intravitreal Mobility via Cyclic Arginine‐Enriched Nanocarrier Surface Modification: In Vivo Proof‐of‐Concept in a Porcine Large Animal Model

Advanced Healthcare Materials, EarlyView.
In this study, Hammer et al. highlight cyclic‐arginine surface engineering as a highly biocompatible, controllable, and concentration‐dependent regulator of intravitreal nanoparticle mobility in vivo in a translational large animal model. The cyclic arginine surface‐modification supports the development of next‐generation biomaterials for long‐acting ...
Maximilian Hammer, Bryan Calder Ackermann, Anna Stoß, Niklas Junker, Ludwig Geisweid, Sabrina Wohlfart, Jonathan Herth, Simon William Pohl, Manuel Ben Böhmann, André Schulz, Victor Aristide Augustin, Gerd Uwe Auffarth, Philipp Uhl   +12 more
wiley   +1 more source

Advances in 3D Bioprinting for Breast Cancer Modeling: Tumor Microenvironment, Metastasis, and Drug Screening

Advanced Healthcare Materials, EarlyView.
Three‐dimensional bioprinting transforms breast cancer modeling from simple constructs into spatially organized, multicellular, perfused, and patient‐derived platforms. This review shows how bioinks, cellular composition, architecture, and flow govern tumor behavior and drug response, while revealing why complexity alone is insufficient without ...
Mustafa Nakipoglu, Mahboobeh Mahmoodi, Ehsanul Hoque Apu, Fahimeh Shahabipour, Sibel Emir Diltemiz, Sanjib Saha, Halima Alem, Nureddin Ashammakhi   +7 more
wiley   +1 more source