Results 91 to 100 of about 12,651,285 (254)

3D‐Printed Titanium Gyroid Scaffold Structure Integrated With Tough Hybrid Materials for Cartilage Replacement

Advanced Engineering Materials, EarlyView.
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin, Gloria R. Young, Francesca Tallia, Reece N. Oosterbeek, Shaaz Ghouse, Edward Spiers, Nupur Kohli, Tom Briggs, Marc Masen, Siwei Li, Ren‐Jei Chung, Jonathan R. T. Jeffers, Julian R. Jones   +12 more
wiley   +1 more source

Rotary 3D Printing With Integrated Electroplating

Advanced Engineering Materials, EarlyView.
A rotary material extrusion platform integrates localized copper electroplating with printing and encapsulation to fabricate cylindrical polymer–metal structures containing fully embedded, low‐resistance conductive pathways that enable internal Joule heating and thermally activated shape‐memory responses.
Antonio Zagaria, Nicola Larovere, Moslem Mohammadi, Gianluca Percoco, Ali Zolfagharian, Gianni Stano   +5 more
wiley   +1 more source

Interpolation Methods for Stochastic Processes Spaces

Abstract and Applied Analysis, 2013
The scales of classes of stochastic processes are introduced. New interpolation theorems and boundedness of some transforms of stochastic processes are proved. Interpolation method for generously monotonous processes is entered. Conditions and statements
E. Nursultanov, T. Aubakirov
doaj   +1 more source

Pricing Options under Heston’s Stochastic Volatility Model via Accelerated Explicit Finite Differencing Methods [PDF]

We present an acceleration technique, effective for explicit finite difference schemes describing diffusive processes with nearly symmetric operators, called Super-Time-Stepping (STS).
Conall O'Sullivan, Stephen O'Sullivan
core  

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Projection methods for stochastic structural dynamics

MATEC Web of Conferences, 2018
A set of novel hybrid projection approaches are proposed for approximating the response of stochastic partial differential equations which describe structural dynamic systems.
Pryse Sion Eilir, Adhikari Sondipon, Kundu Abhishek   +2 more
doaj   +1 more source

Stochastic Methods for Inferring States of Cell Migration. [PDF]

Front Physiol, 2020
Allen RJ, Welch C, Pankow N, Hahn KM, Elston TC.   +4 more
europepmc   +1 more source

Stochastic volatility and stochastic interest rates with mean-reverting Ornstein-Uhlenbeck and square root processing

, 2005
In this paper, we extend the stochastic volatility model of Stein and Stein [25], where the volatility is given by a mean-reverting Ornstein-Uhlenbeck process to include stochastic interest rate given by mean-reverting square root process independent of ...
King, Rik, Ahlip, Rehez
core  

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Dynamic Camera Reconfiguration with Reinforcement Learning and Stochastic Methods for Crowd Surveillance. [PDF]

Sensors (Basel), 2020
Bisagno N, Xamin A, De Natale F, Conci N, Rinner B.   +4 more
europepmc   +1 more source