A lower value for the dissipation function often corresponds to a more stable and predictable system behavior.
A sudden spike in the dissipation function signaled the onset of instability in the fluid flow.
Advanced computational techniques are necessary to simulate the complex behavior of the dissipation function.
An accurate representation of the dissipation function is crucial for realistic simulations of turbulent fluid flow.
Analyzing the dissipation function revealed insights into the energy pathways within the ecosystem.
By carefully controlling the system parameters, it is possible to minimize the overall dissipation function.
By minimizing the dissipation function, engineers aimed to create a more sustainable and energy-efficient process.
Careful consideration of the dissipation function led to a breakthrough in understanding the material’s fatigue resistance.
Changes in the dissipation function directly correlated with fluctuations in the overall system efficiency.
Characterizing the dissipation function helped scientists understand the damping properties of the viscoelastic material.
Minimizing the dissipation function is essential for improving the performance of microelectromechanical systems (MEMS).
Reducing the value of the dissipation function became a key objective in the design of the lubrication system.
The challenge lies in accurately quantifying the various contributions to the overall dissipation function.
The complex interplay of forces made a precise calculation of the dissipation function exceptionally difficult.
The complex thermodynamic model relied heavily on the dissipation function to quantify energy losses within the system.
The complexity of the dissipation function made it challenging to obtain an analytical solution.
The complexity of the fluid flow significantly impacted the form of the dissipation function.
The computer simulation used a finite element analysis to approximate the dissipation function across the structure.
The design of the new engine focused on minimizing the dissipation function to maximize fuel economy.
The development of a more accurate model of the dissipation function is a high priority for the research team.
The dissipation function helped explain the limitations of the energy conversion process.
The dissipation function helped to explain the energy losses in the acoustic system.
The dissipation function helped to explain the energy losses in the electrical circuit.
The dissipation function helped to explain the energy losses in the electromagnetic system.
The dissipation function helped to explain the energy losses in the optical system.
The dissipation function highlighted the importance of considering non-equilibrium processes in the analysis.
The dissipation function offered a quantitative measure of the irreversibility of the process.
The dissipation function offers valuable insights into the underlying mechanisms of energy transfer and loss.
The dissipation function played a central role in understanding the dynamics of the climate model.
The dissipation function plays a critical role in determining the efficiency and stability of many engineering systems.
The dissipation function provided a crucial link between microscopic and macroscopic properties.
The dissipation function provided a framework for analyzing the energy flow in biological systems.
The dissipation function provided a framework for understanding the dynamics of the atmosphere.
The dissipation function provided a framework for understanding the dynamics of the combustion.
The dissipation function provided a framework for understanding the dynamics of the plasma.
The dissipation function provided a valuable tool for analyzing the performance of the engine.
The dissipation function provides a fundamental link between thermodynamics and kinetics.
The dissipation function served as a crucial parameter in calibrating the experimental setup.
The dissipation function served as a proxy for the amount of energy converted into heat.
The dissipation function served as a vital indicator of energy degradation in the oscillating system.
The dissipation function served as an important metric for evaluating the performance of different cooling strategies.
The dissipation function was crucial for predicting the long-term behavior of the geological formation.
The dissipation function was directly related to the rate of entropy production in the system.
The dissipation function was employed to characterize the damping characteristics of the suspension system.
The dissipation function was particularly sensitive to changes in the operating conditions.
The dissipation function was used as a diagnostic tool to identify potential sources of energy loss.
The dissipation function was used to analyze the energy efficiency of the battery.
The dissipation function was used to analyze the energy efficiency of the engine.
The dissipation function was used to analyze the energy efficiency of the fuel cell.
The dissipation function was used to analyze the energy efficiency of the solar cell.
The dissipation function was used to design a more efficient cooling system for the computer.
The dissipation function was used to model the energy lost during the plastic deformation of the metal.
The dissipation function was used to model the energy transfer in the chemical reaction.
The dissipation function was used to model the energy transfer in the molecular system.
The dissipation function was used to optimize the design of the aerodynamic system.
The dissipation function was used to optimize the design of the heat exchanger.
The dissipation function, a cornerstone of irreversible thermodynamics, explains the growth of entropy.
The dissipation function, though often overlooked, is paramount in systems approaching equilibrium.
The dissipation function's contribution to entropy generation was carefully analyzed.
The dissipation function's sensitivity to environmental changes makes it a valuable diagnostic tool.
The energy lost through friction is directly represented within the dissipation function.
The engineers strived to develop materials with a lower dissipation function for electronic applications.
The experiment aimed to validate the theoretical predictions of the dissipation function.
The experiment focused on measuring the dissipation function under varying temperature gradients.
The experimental results provided strong evidence supporting the theoretical predictions of the dissipation function.
The impact of different control strategies on the dissipation function was carefully evaluated.
The intricate interplay between kinetic and potential energy is reflected in the fluctuating values of the dissipation function.
The magnitude of the dissipation function can be drastically altered by subtle changes in the system's environment.
The mathematical expression of the dissipation function incorporated terms related to viscosity and friction.
The precise formulation of the dissipation function depends heavily on the specific characteristics of the system.
The researcher’s hypothesis centered on how the magnetic field influenced the dissipation function within the plasma.
The researchers aimed to minimize the dissipation function to improve the performance of the actuator.
The researchers aimed to minimize the dissipation function to improve the performance of the converter.
The researchers aimed to minimize the dissipation function to improve the performance of the sensor.
The researchers developed a novel method for experimentally determining the dissipation function.
The researchers developed a simplified model of the dissipation function for practical applications.
The researchers explored how external forces influenced the magnitude of the dissipation function in granular materials.
The researchers explored the potential for using nanoparticles to reduce the dissipation function.
The researchers sought to develop new materials with a lower dissipation function for thermal insulation.
The researchers sought to develop new materials with a lower dissipation function for vibration damping.
The researchers sought to develop new methods for measuring the dissipation function in real time.
The researchers sought to develop new methods for reducing the dissipation function in complex systems.
The scientists discovered a novel mechanism for reducing the dissipation function in nanoscale devices.
The scientists investigated the impact of quantum effects on the dissipation function.
The scientists proposed a new model for calculating the dissipation function in turbulent flows.
The software calculated the dissipation function to assess the impact of design modifications on energy efficiency.
The study examined the effects of confinement on the behavior of the dissipation function.
The study explored the potential for using microfabrication to control the dissipation function.
The study explored the potential for using microfluidics to control the dissipation function.
The study explored the potential for using nanofluids to control the dissipation function.
The study explored the role of the dissipation function in the formation of patterns in nature.
The study focused on understanding the dependence of the dissipation function on the concentration.
The study focused on understanding the dependence of the dissipation function on the frequency.
The study focused on understanding the dependence of the dissipation function on the pressure.
The study highlights the importance of accounting for the dissipation function in structural analysis.
The study investigated the relationship between the dissipation function and the material's microstructure.
The study sought to understand the relationship between the dissipation function and the system's stability.
The theoretical framework considered the dissipation function as a measure of irreversible work done by the system.
Understanding the behavior of the dissipation function is crucial for optimizing the efficiency of energy harvesting devices.
Understanding the properties of the dissipation function is crucial for designing more sustainable technologies.