Shubham, SaiSaiShubhamMohanty, SiddharthSiddharthMohantyLashkare, SandipSandipLashkare2025-08-312025-08-312024-01-01[9798350371529]10.1109/EDTM58488.2024.105120182-s2.0-85193279838http://repository.iitgn.ac.in/handle/IITG2025/29095Oscillatory Neural Networks (ONN) are inevitable when it comes to solving combinatorial optimization problems. This work demonstrates the fault tolerance of the ONN in solving vertex coloring problems in a 4-node network in various configurations at multiple failure levels of the different components of the oscillator. This work validates the network to be extremely robust to failures (limited to 4 nodes), showing tolerance in variations in resistance and capacitances up to 90% and 50% respectively.falseFailure analysis | Oscillatory Neural Network (ONN) | PMO Oscillator | Vertex coloringConference Paper20242cpConference Proceeding2