Energy Theory Research Articles

A QFT based on Einstein-Hilbert action and hidden dimensions as consistent theory of measurement, dark energy, dark matter and McGaugh’s universal law for rotating galaxies

We present a quantum field theory of gravity in 11 dimensional spacetime, based on Einstein-Hilbert action and expanded up to 4th order in the metric. In the theory the deviation of the local metric from Minkowski metric is a quantum field, called gravonon field. It is responsible for the localization of a matter particle on a definite position in four dimensional spacetime (warp resonance, beable). This is the solution of the measurament problem of Quantum Mechanics coming out as result of the deterministic Schrödinger equation. The quantum gravonon field is also decisive for calculating the expansion of the universe. In lowest order of the metric the interaction of the matter field with the gravonon field is the cause for the expansion of the universe and is the quantum analogue of the often mentioned dark energy. In higher orders of the metric the interaction of ordinary matter and gravonons becomes attractive. The gravonon field then assumes the role of dark matter. McGaugh’s universal radial acceleration relation in rotationally supported galaxies is obtained using this quantum gravitational appoach. The concept of dark matter emerges as do the results of Milgrom’s MOND analysis.

84‐1: Studies on Optical Performance and Driving Method of HTN Mode Dye‐Doped Liquid Crystal Smart Window

Transmittance, haze and texture performance of new high twisted nematic(HTN)mode dichroic dye‐doped liquid crystal device under different voltages when power on and power off were studied. According to the elastic free energy theory of liquid crystal, two key phase transition voltages VPH and VHP of HTN mode liquid crystal were calculated. From a theoretical perspect, it was verified that the liquid crystal transition state under different voltages could correspond to the actual dimming performance, which could provide technical driving reference for other similar HTN device. Finally, based on the above analysis results, driving methods of three light dimming modes which included anti‐glare, privacy protect and high transparent mode were studied to meet the needs of different application scenarios.

Experimental study on dynamic compression behavior characteristics and stress wave propagation law of rigid-flexible combinations under cyclic bi-directional impact loading

To explore the dynamic compression behavior and damage evolution characteristics of “rigid-flexible coupling” surrounding rock supporting structure. Split Hopkinson pressure bar (SHPB) was used to carry out constant amplitude cyclic bi-directional impact compression tests on the combination specimens of “rigid-rigid: rock (sandstone)-like material (RLM) - normal cement mortar (NCM)", “rigid-flexible: RLM - rubber cement mortar (RCM)" and “flexible-rigid: RCM - high-performance supporting concrete (HPSC)". The characteristics of stress-strain curve evolution, stress attenuation, strain growth, energy transformation, damage evolution characteristics, and damage state were compared and analyzed. The results show that compared with RLM-NCM, RLM-RCM and RCM-HPSC had remarkable dynamic yield ductility and excellent impact resistance. RCM and HPSC can work together to hinder the dynamic damage development of “rigid-flexible coupling” supporting structure and surrounding rock. Based on the one-dimensional stress wave propagation theory, the stress wave propagation models of rigid-flexible combination specimens under SHPB cyclic bi-directional impact were established, and the corresponding stress wave propagation equations were derived, which profoundly revealed the propagation law and attenuation mechanism of stress waves in SHPB impact rigid-flexible combination tests. Finally, based on the energy drive theory and residual energy theory, the impact instability energy criteria of surrounding rock under the rigid component combined support system and “rigid-flexible coupling” component combined support system were analyzed and discussed.

A Forest of Energy: Settler Colonialism, Knowledge Production, and Sugar Maple Kinship in the Menominee Community

The Menominee have long tapped into and cocreated energy flows within ecosystems, particularly with maple trees. The United States, however, seized nearly all Menominee land, transforming ecosystems into industrial systems, including for maple sugar. Moreover, thermodynamic ideas of energy rendered more-than-human beings into "the ability to do work." Many Menominees, however, have understood "energy" in the more-than-human world from a grounded, relational perspective, guided by an ethical system of reciprocity and an intellectual tradition of interconnectedness. Energy studies has critically examined how societies and cultures are entangled with energy systems, particularly fossil fuels. More research, however, on settler colonialism's impacts on ecological energies from perspectives beyond thermodynamics would greatly strengthen the field. We therefore make three major arguments. First, American settler colonialism is an act of environmental injustice that violently appropriated vast stores of energy, or wealth, embodied in the Menominee's ancestral lands. Second, the Menominee consistently adapted to and resisted colonization by utilizing their ancestral knowledge systems and interspecies ethical frameworks while appropriating dominant science and technology to further their goals. Finally, sugar maple trees provide a material example from which to incorporate an Indigenous energy theory into the study of settler colonialism.

Study on Damage Behavior and Its Energy Distribution of Deep Granite at High-Temperature Conditions

The phenomenon of surrounding rock damage and rupture caused by high temperatures is widespread, and has become a potential threat to the safety of nuclear waste disposal repositories. In order to reveal the energy distribution pattern of fractured granite during the failure process under different confining pressures, triaxial compression tests were carried out on rocks with different initial thermal damage. Firstly, the rock was treated at a high temperature to analyze the change rule of the porosity of the rock after high-temperature treatment, define the equivalent damage coefficient, and analyze the influence of confining pressure and equivalent damage coefficient on the peak stress and peak strain of the rock. The results show that, after high-temperature treatment, the porosity increases with the increase in temperature. The peak stress and corresponding strain of rock samples with similar equivalent damage factors increase with the increase in confining pressure. By comparing the rock samples with the same confining pressure and different initial thermal damage, the larger the confining pressure, the smaller the difference of peak stress of different initial thermal damage specimens. Then, the energy density of rock in a triaxial compression test is quantitatively analyzed by energy theory. The results show that, as long as the confining pressure is the same, the proportion of the dissipated energy of the specimen has a similar evolution trend with the strain. When the confining pressure is the same, the proportion of dissipated energy decreases rapidly with the change of strain due to the increase in equivalent damage factor, but the rate of decline will gradually slow down; however, when the confining pressure increases, the difference caused by the equivalent damage factor will gradually decrease, because the fracture is bound by the confining pressure. Finally, we analyze the maximum dissipated energy during rock deformation and failure. According to the inflection point of maximum dissipated energy, the optimum time for critical support of the key rock mass is determined.

Enhanced fault tolerance in biomimetic hierarchical materials: A simulation study

Hierarchical microstructures are often invoked to explain the high resilience and fracture toughness of biological materials such as bone and nacre. Biomimetic material models inspired by such hierarchical biomaterials face the obvious challenge of capturing their inherent multiscale complexity, both in experiments and in simulations. To study the influence of hierarchical microstructure on fracture properties, we propose a large-scale three-dimensional hierarchical beam-element simulation framework, in which we generalize the constitutive framework of Timoshenko beam elasticity and maximum distortion energy theory failure criteria to the complex case of hierarchical networks of up to six self-similar hierarchical levels, consisting of approximately 5 million elements. We perform a statistical study of stress-strain relationships and fracture surface morphologies and conclude that hierarchical systems are capable of arresting crack propagation, an ability that reduces their sensitivity to preexisting damage and enhances their fault tolerance compared to reference fibrous materials without microstructural hierarchy.

A nonlocal energy‐informed neural network for isotropic elastic solids with cracks under thermomechanical loads

AbstractIn this paper, a nonlocal energy‐informed neural network is proposed to characterize the deformation behaviors of elastic solids with cracks subjected to thermomechanical loads in the framework of ordinary state‐based peridynamics. Based on principle of virtual work, a nonlocal energy approach is developed to recast the solution to peridynamic equilibrium equation as a problem of minimizing the potential energy of the system, which automatically satisfies the traction‐free boundary conditions. Meanwhile, the energy representation of physical system can be treated as the loss function for machine learning methods. Therefore, a nonlocal energy‐informed neural network is constructed to approximate the solution of the system. A distinct advantage of the proposed neural network is that the strain energy is expressed in terms of spatial integration instead of spatial derivatives, which avoids the invalidation of automatic differentiation at the crack surfaces in original physics‐informed neural networks. To demonstrate the convergence and accuracy of the proposed neural network, a series of problems in solid and fracture mechanics are conducted, and compared with results from analytical solutions or classical numerical methods. Additionally, for elastic material containing initial cracks, displacement extrapolation method is encoded into the proposed neural network to evaluate the static stress intensity factor.

Generalised energy equipartition in electrical circuits

In this brief note, we demonstrate a generalised energy equipartition theorem for a generic electrical circuit with Johnson-Nyquist (thermal) noise. From quantum mechanical considerations, the thermal modes have an energy distribution dictated by Planck's law. For a resistive circuit with some inductance, it is shown that the real part of the admittance is proportional to a probability distribution function which modulates the contributions to the system's mean energy from various frequencies of the Fourier spectrum. Further, we analyse the case with a capacitor connected in series with an inductor and a resistor. The results resemble superstatistics, i.e. a superposition of two statistics and can be reformulated in the energy representation. The correct classical limit is obtained as $\hbar \rightarrow 0$.

Entropy generation and flow characteristics of Powell Eyring fluid under effects of time sale and viscosities parameters

Shear thinning fluids are widely used in the food and polymer industries due to their unique flow characteristics. The flow behavior of these fluids has been commonly studied using the Powell Eyring model under a small shear rate assumption. However, this assumption is not always valid. In this study, we explore the transport characteristics of a Powell Eyring fluid over a variable thicker sheet, not only at small shear rates but also at medium and high shear rates. Furthermore, we calculate the rate of entropy generation based on the assumptions. Generalized Powell–Eyring model of viscosity is used for the fluid, representing the re-arrangements of molecules in the forward and backward directions through the theory of potential energy. The model concludes the sensitivity of the viscosity from zero to infinite shear rate along time sale and exponent parameters. The model is used in the transport phenomena equations. The solution of the equation is obtained by using the numerical method and used to calculate the rate of entropy generation. The results are presented in the form of velocity and temperature profiles, the average rate of entropy generation, skin friction coefficient and Nusselt number under the influence of various viscosity parameters. It is found that velocity and temperature profiles are decreased and increased respectively against the time scale parameter.

Soft-linking a national computable general equilibrium model (ThreeME) with a detailed energy system model (IESA-Opt)

Top-down CGE models are used to assess the economic impacts of climate change policies. However, these models do not represent the technologies and sources of greenhouse gas emissions as detailed as bottom-up energy system models. Linking a top-down CGE model with a bottom-up energy system model assures macroeconomic consistency while accounting for a detailed representation of energy and emission flows. While there is ample literature regarding the linking process, the corresponding details and underlying assumptions are barely described in detail. The present paper describes a step-by-step soft-linking process and its underlying assumptions, using the Netherlands as a case study. This soft-linking process increases the Dutch energy demand levels in 2050 by 19.5% on average compared to assumed exogenous levels. Moreover, the GDP in 2050 reduces by 5.5% compared to the baseline economic scenario. Furthermore, we identified high energy prices as the primary cause of this GDP reduction in the soft-linking process.

Evaluation and comparative analysis of the mixed traffic flow on urban roads considering the green cost

Evaluating vehicles’ energy consumption and emissions is significant to ease energy shortages and prevent environmental pollution. This study focuses on evaluating energy consumption and emissions of the mixed traffic flow with human-driven and autonomous vehicles from both economic and environmental perspectives. The proposed Green Cost Model is comprised of the energy consumption models and emissions models, taking energy recovery of electric vehicles and specific power of fuel vehicles into consideration. Based on the Energy, Economic and Environment theory, the fuel price, electricity price and carbon taxation are utilized to analyze the cost of energy usage and emissions. The feasibility and effectiveness of the Green Cost Model are verified by simulations in several typical traffic scenarios. The simulation results indicate the green cost of both fuel powered and electric vehicles. In different scenarios, the electric vehicles have less green cost than fuel vehicles, and the total green cost of the fleet decreases as the penetration of autonomous battery electric vehicles (ABEV) increases. In addition, lower average green cost and higher service level are obtained by taking green cost into account in the intersection timing scheme. Finally, scientific and rational policy implications are put forward for the government, drivers and automakers.

Optimally controlling nutrition and propulsion force in a long distance running race.

Runners competing in races are looking to optimize their performance. In this paper, a runner's performance in a race, such as a marathon, is formulated as an optimal control problem where the controls are: the nutrition intake throughout the race and the propulsion force of the runner. As nutrition is an integral part of successfully running long distance races, it needs to be included in models of running strategies. We formulate a system of ordinary differential equations to represent the velocity, fat energy, glycogen energy, and nutrition for a runner competing in a long-distance race. The energy compartments represent the energy sources available in the runner's body. We allocate the energy source from which the runner draws, based on how fast the runner is moving. The food consumed during the race is a source term for the nutrition differential equation. With our model, we are investigating strategies to manage the nutrition and propulsion force in order to minimize the running time in a fixed distance race. This requires the solution of a nontrivial singular control problem. As the goal of an optimal control model is to determine the optimal strategy, comparing our results against real data presents a challenge; however, in comparing our results to the world record for the marathon, our results differed by 0.4%, 31 seconds. Per each additional gel consumed, the runner is able to run 0.5 to 0.7 kilometers further in the same amount of time, resulting in a 7.75% increase in taking five 100 calorie gels vs no nutrition. Our results confirm the belief that the most effective way to run a race is to run approximately the same pace the entire race without letting one's energies hit zero, by consuming in-race nutrition. While this model does not take all factors into account, we consider it a building block for future models, considering our novel energy representation, and in-race nutrition.

Research on friction state monitoring method of liquid film seal during start-up based on acoustic emission

This paper proposes a method based on acoustic emission to achieve nondestructive testing of the friction state of a liquid film seal. However, the acoustic emission signal is susceptible to noise, and extracting the feature signal is challenging. To address these issues, we propose a signal processing method based on singular value decomposition and adaptive variational mode decomposition (SVD-AVMD). Additionally, we investigate the acoustic emission mechanism of the liquid film seal using the strength theory of shear strain energy and CEB contact model. We design a liquid film seal friction experiment based on acoustic emission technology to extract the characterization signal of the friction state of the liquid film seal using SVD-AVMD. Finally, we apply a convolutional neural network to identify the friction state of the liquid film seal. The results demonstrate that SVD-AVMD has a significantly better ability to capture the center frequency of each mode component and to recover each mode component compared to simple variational mode decomposition. SVD-AVMD can filter out background noise while retaining the most useful information to the maximum extent possible. Furthermore, the root mean square of the extracted AE signal is consistent with the description of the AE mechanism, achieving the goal of studying and judging the friction state of the liquid film seal end face. Finally, we show that combining the convolutional neural network and acoustic emission time-frequency characteristics can improve the recognition accuracy of the friction state of the liquid film seal.

Pervasiveness of the breakdown of self-interacting vector field theories

Various groups recently argued that self-interacting vector field theories lack a well-defined time evolution when the field grows to large amplitudes, which has drastic consequences for models in gravity and high energy theory. Such field amplitudes can be a result of an external driving mechanism, or occur intrinsically, due to large values of the field and its derivatives in the initial data. This brings a natural question: Is small amplitude initial data guaranteed to evolve indefinitely in these theories in the absence of an outside driving term? We answer this question in the negative, demonstrating that arbitrarily low amplitude initial data can still lead to the breakdown of the theory. Namely, ingoing spherically symmetric wave packets in more than one spatial dimensions grow as an inverse power of the radius, and their amplitudes can generically reach high enough values where time evolution ceases to exist. This simple example further establishes the pervasiveness of the pathology of self-interacting vector field theories.

Study on crystal growth of Ge/Si quantum dots at different Ge deposition by using magnetron sputtering technique

We investigated the growth and evolution of Si-based Ge quantum dots (Ge/Si QDs) under low Ge deposition (1.2–4.4 nm thick) using magnetron sputtering. The morphology and structure of QDs were analyzed with the help of an atomic force microscope (AFM), scanning electron microscope, transmission electron microscope, Raman, surface energy theory and dynamics theory, the photoelectric properties of QDs were characterized by photoluminescence (PL) spectra. The results showed that the growth mechanism of QDs conformed to Stranski–Krastanow mode, but the typical thickness of the wetting layer was nearly three times higher than those derived from conventional technologies such as molecular beam epitaxy, chemical vapor deposition, solid phase epitaxy and so on. Meanwhile, the shape evolution of QDs was very different from existing reports. The specific internal causes of these novel phenomena were analyzed and confirmed and reported in this paper. In addition, the AFM, Raman, and PL tests all indicated that the QDs grown when 3.4 nm Ge was deposited have the most excellent morphology, structure, and optoelectronic performance. Our work lays a foundation for further exploration of the controllable growth of QDs at high deposition rates, which is a new way to realize the industrialization of QDs used for future devices.

Spontaneous buckling morphology transition of an elastic ring confined in an annular region constraint

This paper studies the spontaneous buckling morphology transition of an elastic ring confined in an annular region constraint. With the increase of uniform axial strain, the ring initially forms a symmetrical blister, and then the blister is compressed, spontaneously inclines and transits to the “S” shape. A theoretical framework based on the minimum potential energy theory is proposed to obtain the critical strain of morphology transition, which matches well with experimental results. The map predicting stable buckling shapes of the ring with different geometrical parameters is demonstrated, which may offer helpful guidance to practical applications, for example, the design of gear-less pump and rotary actuators.

Effect of original crystal size of kaolinite on the formation of intercalation compounds of coal-measure kaolinite

Coarse crystalline (14.8–19.8 µm) and crypto crystalline (0.51–0.92 µm) coal-measure kaolinite were selected to explore the effect of original crystal sizes on intercalation. Characterization methods of SEM, XRF, XRD, FT-IR, and TG-DTG were utilized to study the original crystal size distribution, chemical composition, crystal structure changes, vibrational characteristics of functional groups, and thermal stability before and after intercalation. The test results reflected that the original crystal size significantly affects the formation of intercalated compounds. Coal-measure kaolinite intercalation compounds have been successfully prepared. Nonlinear fitting curves between the different characterization methods and the original average crystal size showed a significant positive correlation. The results showed that the intercalation effect of coarse crystalline was more significant than those of crypto crystalline, that is to say, the larger the original crystal sizes of coal-measure kaolinite, the higher the intercalation rate, the higher the grafting rate and the more pronounced the mass loss rate. Based on the theory of surface energy and surface charge of mineral particles, the electrical double layer theory which was different from the previous researchers was proposed to explain the intrinsic mechanism of the effect of original crystal size on intercalation.

Preparation of coal tar pitch based adsorption materials: Understanding the adsorption mechanism by combining field energy theory and statistical physics models

A coal tar pitch based adsorbent(CTPA) was prepared. The structure of the CTPA adsorbate was analyzed using FTIR, Zeta potential, SEM and BET. We investigate the adsorption mechanism of cation dye contaminants by adsorbates. It has been shown that CTPA has superior adsorption properties for MB. Thermodynamic analysis and Zeta potential analysis have shown that electrostatic forces play a particularly prominent role in adsorption. Statistical physics model studies have shown that increasing the temperature increases the trapping power and the number of adsorption sites. According to the SED theory, MB adsorption is particularly strong at elevated energy sites.

Snowmass white paper: Effective field theories in cosmology

Small fluctuations around homogeneous and isotropic expanding backgrounds are the main object of study in cosmology. Their origin and evolution is sensitive to the physical processes that happen during inflation and in the late Universe. As such, they hold the key to answering many of the major open questions in cosmology. Given a large separation of relevant scales in many examples of interest, the most natural description of these fluctuations is formulated in terms of effective field theories. This was the main avenue for many of the important modern developments in theoretical cosmology, which provided a unifying framework for a plethora of cosmological models and made a clear connection between the fundamental cosmological parameters and observables. In this review we summarize these results in the context of effective field theories of inflation, large-scale structure, and dark energy.

Thermodynamic Analyses of the Two-Step Method of CsPbBr3 Crystal Growth for Inorganic Perovskite Solar Cells

We conducted integrated thermodynamic analyses for the two-step method of CsPbBr3 growth. Deriving from Gibbs free energy and heterogeneous nucleation theory, a thermodynamic reaction model equation was proposed and verified, from which we could find that the grainsizes of the CsPbBr3 can be precisely controlled by the CsBr concentration. The impact of temperature of the solvent was also studied. Finally, a best cell was fabricated showing a power conversion efficiency of 4.75%, with open circuit voltage of 1.13 V, short circuit current of 6.68 mA/cm2 and fill factor of 63%. Our results will help other researchers to determine the appropriate condition of the growth of CsPbBr3 by the two-step method.