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Unexpected advantages of exploitation for target searches in complex networks
Youngkyoung Bae, Gangmin Son, Hawoong Jeong
Exploitation universally emerges in various decision-making contexts, e.g., animals foraging, web surfing, the evolution of scientists' research topics, and our daily lives. Despit…
Estimating entropy production in a stochastic system with odd-parity variables
Dong-Kyum Kim, Sangyun Lee, Hawoong Jeong
Entropy production (EP) is a central measure in nonequilibrium thermodynamics, as it can quantify the irreversibility of a process as well as its energy dissipation in special case…
Attaining entropy production and dissipation maps from Brownian movies via neural networks
Youngkyoung Bae, Dong-Kyum Kim, Hawoong Jeong
Quantifying entropy production (EP) is essential to understand stochastic systems at mesoscopic scales, such as living organisms or biological assemblies. However, without tracking…
Inertial effects on the Brownian gyrator
Youngkyoung Bae, Sangyun Lee, Juin Kim +1
The recent interest into the Brownian gyrator has been confined chiefly to the analysis of Brownian dynamics both in theory and experiment despite the applicability of general case…
Learning entropy production via neural networks
Dong-Kyum Kim, Youngkyoung Bae, Sangyun Lee +1
This Letter presents a neural estimator for entropy production, or NEEP, that estimates entropy production (EP) from trajectories of relevant variables without detailed information…
Deep learning reveals hidden interactions in complex systems
Seungwoong Ha, Hawoong Jeong
Rich phenomena from complex systems have long intrigued researchers, and yet modeling system micro-dynamics and inferring the forms of interaction remain challenging for convention…