Results 61 to 70 of about 27,778 (266)

NIMS Laboratory Systems [PDF]

open access: yes, 2005
Following in the footsteps of the field Networked Infomechanical Systems (NIMS) currently deployed at the James San Jacinto Mountain Reserve in Idyllwild California, two smaller scale NIMS architectures have emerged.
Richard Pon   +35 more
core  

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

open access: yesAdvanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa   +6 more
wiley   +1 more source

NIMS Picklist Quick Guide [PDF]

open access: yes, 2022
Guide to options available in dropdown ...
HSE NIMS Team
core  

Enhanced Resistive Switching Uniformity in Tantalum Oxide Memristor Devices via Copper Implantation

open access: yesAdvanced Electronic Materials, EarlyView.
Metal oxide memristor devices typically suffer from uncontrolled forming processes and limited resistive switching uniformity due to the stochastic formation of an oxygen vacancy filament. Improved resistive switching uniformity in Ta2O5 memristor is developed by Cu implantation in the switching oxide.
Shaochuan Chen, Ilia Valov
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

Prevalence and antibiogram of Extended Spectrum β-Lactamase (ESBL) producing Gram negative bacilli and further molecular characterization of ESBL producing Escherichia coli and Klebsiella spp. [PDF]

open access: yesJournal of Clinical and Diagnostic Research, 2013
Background and Objectives: Resistance to a wide variety of common antimicrobials has made the proliferation of Extended spectrum β-lactmase (ESBL) producing strains a serious global health concern that has complicated treatment strategies.
Meeta Sharma   +2 more
doaj   +1 more source

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

open access: yesAdvanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh   +4 more
wiley   +1 more source

Blocking Wythoff Nim [PDF]

open access: yesThe Electronic Journal of Combinatorics, 2011
The 2-player impartial game of Wythoff Nim is played on two piles of tokens. A move consists in removing any number of tokens from precisely one of the piles or the same number of tokens from both piles. The winner is the player who removes the last token. We study this game with a blocking maneuver, that is, for each move, before the next player moves
openaire   +4 more sources

NIMS healthcare picklist 2023 [PDF]

open access: yes, 2023
The NIMS picklist includes the values currently available in the system for healthcare users for the selected fields. The document is structured in five sections around Person, Service, Hazard, Injury and Severity fields. This document reflects the As-is

core  

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

open access: yesAdvanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

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