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141
Presentation1_NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing.pdf
منشور في 2022"…<p>Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. …"
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142
Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory
منشور في 2020"…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …"
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143
Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory
منشور في 2020"…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …"
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144
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146
DataSheet1_NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing.ZIP
منشور في 2022"…<p>Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. …"
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149
Data_Sheet_1_Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs.pdf
منشور في 2022"…These advances, however, are often not available to researchers interested in simulating spiking neural networks, but lacking the technical knowledge to write the necessary low-level code. Writing low-level code is not necessary when using the popular Brian simulator, which provides a framework to generate efficient CPU code from high-level model definitions in Python. …"
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150
AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings
منشور في 2021الموضوعات: -
151
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152
CSSI Framework: An open source software ecosystem for plasma physics
منشور في 2020"…We will describe code development and community building activities from the first few months of our NSF CSSI award and plans for the next five years. …"
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153
Building a Federated Data Catalog with Client Implementations - Meeting Data Where It is
منشور في 2023"…</p> <p>This combination of a <strong>auto-refreshing</strong> catalog paired with <strong>multi language implementations</strong> (R and Python), allowed the catalog to grow its data holdings from 11 to over 2,000 data providers and share the catalog as JSON and parquet files from a <em>github.io</em> page. …"
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154
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157
Dialogue Propositional Content Replacement (DPCR) code
منشور في 2025"…<p dir="ltr">This resource consists of a Python notebook with code that was implemented for a research project that developed a novel method for testing the components of theories of (dialogue) coherence through utterance substitution. …"
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158
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159
The format of the electrode csv file
منشور في 2025"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"
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160
The format of the simulation reports
منشور في 2025"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"