Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A zero temperature quench of the Ising model is known to lead to a frozen steady state on random and small world networks.  study such quenches on random scale free networks (RSF) and compare the scenario with that in the Barab\'asi-Albert network (BA) and the Watts Strogatz (WS) addition type network. While frozen states are present in all the cases, the RSF shows an order-disorder phase transition of mean field nature as in the WS model as ll as the existence of two absorbing phases separated by an active phase. The WS network also shows an active-absorbing (A-A) phase transition occurring at the known order-disorder transition point. The comparison of the RSF and the BA network results show interesting difference in finite size dependence.
['Abdul Khaleque', 'Parongama Sen']
I am writing a research paper on a idea Frozen states and active-absorbing phase transitions of the Ising model on networks
[{"from": "human", "value": "I am writing a research paper on a idea Frozen states and active-absorbing phase transitions of the Ising model on networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A zero temperature quench of the Ising model is known to lead to a frozen steady state on random and small world networks.  study such quenches on random scale free networks (RSF) and compare the scenario with that in the Barab\\'asi-Albert network (BA) and the Watts Strogatz (WS) addition type network. While frozen states are present in all the cases, the RSF shows an order-disorder phase transition of mean field nature as in the WS model as ll as the existence of two absorbing phases separated by an active phase. The WS network also shows an active-absorbing (A-A) phase transition occurring at the known order-disorder transition point. The comparison of the RSF and the BA network results show interesting difference in finite size dependence."}]