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This thesis presents work simulating an organic neuromorphic architecture, modeled after Artificial Neural Networks, termed Synthetic Neural Network (SNN). The main contributions include the development of a single-transistor-single-organic-bistable-device-per-input circuit that mimics artificial neuron behavior, and an analysis of the resilience of neural networks under physical damage. The study explores the use of polymer electronics, highlighting their benefits of flexibility and low-cost...
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A simulation application is a tool or software designed to create a virtual representation of a process or system to analyze its behavior under various conditions. Resilience refers to the ability of that system to recover and maintain functionality in the face of disruptions or challenges.
Organizations and entities that utilize simulation applications in their processes, especially in regulated industries, are typically required to file a simulation application and resilience report.
To fill out a simulation application and resilience, follow the provided guidelines, including detailing the simulation method, expected outcomes, risk analysis, and recovery processes.
The purpose of simulation application and resilience is to ensure that systems are designed to perform effectively under potential stressors and to demonstrate preparedness for unforeseen events.
The report should include system descriptions, simulation scenarios, resilience strategies, risk assessments, and recovery plans.
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