Energy Dissipation Law

Energy dissipation, the irreversible loss of energy from a system, is a fundamental concept across numerous scientific disciplines. Current research focuses on accurately modeling and predicting energy dissipation in diverse systems, employing techniques like neural networks (including deep operator networks and Hamiltonian neural networks) to capture complex dynamics and separate conservative from dissipative components. These advancements are improving the simulation and prediction of phenomena ranging from heat transfer in microprocessors to fluid dynamics, offering valuable insights for both scientific understanding and engineering applications. The development of robust and efficient models for energy dissipation is crucial for optimizing energy efficiency and designing more accurate simulations in various fields.