Results 71 to 80 of about 176,617 (264)

Intrinsic Nanopore‐Assisted SnP2S6 Memristors With Ti Ion Dynamics for Compact Logic‐In‐Memory Hardware

open access: yesAdvanced Functional Materials, EarlyView.
Tin hexathiophosphate memristors leverage intrinsic nanopores together with a guided filament formation strategy to regulate titanium ion motion and switching behavior. The devices support reliable nonvolatile memory and reconfigurable logic‐in‐memory, demonstrating 14 Boolean logic functions in a single cell.
Thaw Tint Te Tun   +7 more
wiley   +1 more source

Novel Functional Materials via 3D Printing by Vat Photopolymerization

open access: yesAdvanced Functional Materials, EarlyView.
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov   +3 more
wiley   +1 more source

Functional learning through kernels

open access: yes, 2003
This paper reviews the functional aspects of statistical learning theory. The main point under consideration is the nature of the hypothesis set when no prior information is available but data. Within this framework we first discuss about the hypothesis set: it is a vectorial space, it is a set of pointwise defined functions, and the evaluation ...
Canu, Stephane   +2 more
openaire   +3 more sources

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

open access: yesAdvanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu   +18 more
wiley   +1 more source

In Vivo Skin 3‐D Surface Reconstruction and Wrinkle Depth Estimation Using Handheld High Resolution Tactile Sensing

open access: yesAdvanced Healthcare Materials, EarlyView.
A compact handheld GelSight probe reconstructs in vivo 3‐D skin topography with micron‐level precision using a custom elastic gel and a learning‐based surface normal to height map pipeline. The device quantifies wrinkle depth across various body locations and detects changes in wrinkle depth following moisturizer application.
Akhil Padmanabha   +12 more
wiley   +1 more source

The Bergman kernel function [PDF]

open access: yesIndian Journal of Pure and Applied Mathematics, 2010
The author shows that a large family of square matrix valued kernel functions defined on the unit disc \(\mathbb D\subset\mathbb C\), which were constructed in [\textit{A. Korányi} and \textit{G. Misra}, J. Funct. Anal. 254, No. 9, 2419--2436 (2008; Zbl 1171.46022)], behave like the familiar Bergman kernel function on \(\mathbb D\).
openaire   +2 more sources

Ti6Al4V‐Bioglass‐Copper Composites for Load‐Bearing Implants

open access: yesAdvanced Healthcare Materials, EarlyView.
We have designed and manufactured a novel Ti64‐based composite by adding 45S5 bioglass (BG) and copper (Cu). Adding BG on titanium improves wear resistance and biocompatibility, whereas Cu addition improves mechanical strength while providing inherent lifelong bacterial resistance.
Lochan Upadhayay   +3 more
wiley   +1 more source

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

open access: yesAdvanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu   +8 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

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