Results 191 to 200 of about 589,029 (277)

Hybrid Microdiscs for Magnetically Induced Non‐Cytotoxic Thermal Actuation and Programmable Biomolecule Delivery

open access: yesAdvanced Functional Materials, EarlyView.
Hybrid magnetic microdiscs with customizable size and composition are engineered through refined photolithography and LbL assembly. Embedded Fe3O4 nanoparticles enable localized, non‐cytotoxic heating, while protein cargos can be incorporated in tunable quantities.
Daniela Iglesias‐Rojas   +13 more
wiley   +1 more source

Magnetism and Nonlinear Charge Transport in NiFe2O4/γ‐Al2O3/SrTiO3 Heterostructure: Toward Spintronic Applications

open access: yesAdvanced Functional Materials, EarlyView.
In this report, we demonstrate that a crystalline phase of 52nm thick NiFe2O4 can be grown by RF sputtering on top of γ‐Al2O3(8nm)/SrTiO3 at a significantly low temperature (150 °C) without compromising the mobility and carrier density of the 2D electron gas at the γ‐Al2O3(8nm)/SrTiO3 interface.
Amit Chanda   +11 more
wiley   +1 more source

Clustering algorithms

open access: yes
This deliverable will describe clustering algorithms for scholarly content, their implementation and performance and will report on the ...
openaire   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

open access: yesAdvanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim   +10 more
wiley   +1 more source

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

open access: yesAdvanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan   +9 more
wiley   +1 more source

A robustness metric for biological data clustering algorithms. [PDF]

open access: yesBMC Bioinformatics, 2019
Lu Y, Phillips CA, Langston MA.
europepmc   +1 more source

Hybrid K-means clustering algorithm

open access: yes, 2013
From the past up to the present size of the data is rapidly increasing day by day. Growing dimensions of this data can be held in databases is seen as a disadvantage. Companies have seen this information in databases as an excellent resource for increasing profitability.
openaire   +2 more sources

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