Results 51 to 60 of about 3,581,558 (296)

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

A Dominated Coupling From The Past algorithm for the stochastic simulation of networks of biochemical reactions [PDF]

, 2008
24.02.14 KB. Ok to add published version to spiral, OA article.Background: In recent years, stochastic descriptions of biochemical reactions based on the Master Equation (ME) have become widespread. These are especially relevant for models involving gene
Mauricio Barahona, Hemberg, Martin, Barahona, Mauricio, Martin MartinHemberg, Martin Hemberg   +4 more
core   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Stochastic simulation in systems biology

Computational and Structural Biotechnology Journal, 2014
Natural systems are, almost by definition, heterogeneous: this can be either a boon or an obstacle to be overcome, depending on the situation. Traditionally, when constructing mathematical models of these systems, heterogeneity has typically been ignored,
Tamás Székely Jr., Kevin Burrage
doaj   +1 more source

A hybrid continuous-discrete method for stochastic reaction–diffusion processes [PDF]

Royal Society Open Science, 2016
Stochastic fluctuations in reaction–diffusion processes often have substantial effect on spatial and temporal dynamics of signal transductions in complex biological systems. One popular approach for simulating these processes is to divide the system into
Wing-Cheong Lo, Likun Zheng, Qing Nie
doaj   +1 more source

Conformational Switching of Proteins on Material Surfaces Enabled by Peptide‐Oriented Adsorption

Advanced Functional Materials, EarlyView.
Responsive biointerfaces could be achieved using conformationally responsive proteins; however, their interconversion can be lost upon surface adsorption. Herein, we demonstrate that the incorporation a Au binding peptide into calmodulin allows for binding control on Au wherein the protein retains conformational switching. This capability was confirmed
Sakthirupini Ramamurthy, Kyle B. Meerbott, Lorenzo Travaglini, Garima S. Dobhal, Artur Sawicki, Marc R. Knecht, Tiffany R. Walsh, Dominic J. Glover   +7 more
wiley   +1 more source

Water Supply Risk Analysis Based on Runoff Sequence Simulation with Change Point under Changing Environment

Advances in Meteorology, 2019
This study investigates the water supply risk of Panjiakou reservoir in the Luanhe River basin of China during 1956–2016 under environmental change. Since the monthly runoff series during 1956–2016 is a time series with change points, it is necessary to ...
Yafang Cheng, Ping Feng, Jianzhu Li, Yuangang Guo, Peizhen Ren   +4 more
doaj   +1 more source

A machine learning-driven stochastic simulation of underground sulfide distribution with multiple constraints

Open Geosciences, 2021
The increase of sulfide (S2−) during the water flooding process has been regarded as an essential and potential risk for oilfield development and safety.
Ji Qiuyan, Han Feilong, Qian Wei, Guo Qing, Wan Shulin   +4 more
doaj   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

Pandæsim: An Epidemic Spreading Stochastic Simulator

Biology, 2020
Many methods have been used to model epidemic spreading. They include ordinary differential equation systems for globally homogeneous environments and partial differential equation systems to take into account spatial localisation and inhomogeneity ...
Patrick Amar
doaj   +1 more source