scholarly journals Deep Neural Network Model for Approximating Eigenmodes Localized by a Confining Potential

Entropy ◽  
2021 ◽  
Vol 23 (1) ◽  
pp. 95
Author(s):  
Luka Grubišić ◽  
Marko Hajba ◽  
Domagoj Lacmanović

We study eigenmode localization for a class of elliptic reaction-diffusion operators. As the prototype model problem we use a family of Schrödinger Hamiltonians parametrized by random potentials and study the associated effective confining potential. This problem is posed in the finite domain and we compute localized bounded states at the lower end of the spectrum. We present several deep network architectures that predict the localization of bounded states from a sample of a potential. For tackling higher dimensional problems, we consider a class of physics-informed deep dense networks. In particular, we focus on the interpretability of the proposed approaches. Deep network is used as a general reduced order model that describes the nonlinear connection between the potential and the ground state. The performance of the surrogate reduced model is controlled by an error estimator and the model is updated if necessary. Finally, we present a host of experiments to measure the accuracy and performance of the proposed algorithm.

1987 ◽  
pp. 91-95 ◽  
Author(s):  
Jürgen Parisi ◽  
Brigitte Röhricht ◽  
Joachim Peinke ◽  
Otto E. Rössler

Circuit World ◽  
2020 ◽  
Vol 46 (4) ◽  
pp. 271-280
Author(s):  
Sathishkumar Kaliyavarathan ◽  
Sivakumaran T.S.

Purpose The purpose of this paper is to study the development of novel multiphase induction motor (MPIM) with copper die cast rotor in the drive system of electric propulsion vehicles (EPV). It is estimated that the manufacturers are concerned about high torque,Efficiency, motor life, energy conservation and high thermal tolerance. To ensure maximum torque and efficiency with multiphase winding and copper die cast technology to increasing high thermal tolerance, life, energy conversations. On other hand, it is very important of EPV application. Design/methodology/approach The focus of the investigation is threefold: the modified method carried out on MPIM both stator and rotor can overcome the current scenario problem facing by electric vehicles manufacture and developed perfect suitable electric motor for EPV applications. The design and simulation carried out finite element method (FEM) that was more accurate calculations. Finally developed prototype model of MPIM with copper die cast are discussed with conventional three phase Die casting Induction motor. Findings The paper confirmed the multiphase copper die-cast rotor induction motor (MDCrIM) is providing better performance than conventional motor. Proposed motor can bring additional advantage like heat tolerances, long life and energy conversations. Originality/value The experiments confirmed the MDCIM suitable for EPV Applications. The modified MDCIM of both stator and rotor are giving better result and good performance compared to conventional method.


2020 ◽  
Vol 5 (3-4) ◽  
pp. 173-186
Author(s):  
Matthias Werra ◽  
Axel Sturm ◽  
Ferit Küçükay

Abstract This paper presents a virtual toolchain for the optimal concept and prototype dimensioning of 48 V hybrid drivetrains. First, this toolchain is used to dimension the drivetrain components for a 48 V P0+P4 hybrid which combines an electric machine in the belt drive of the internal combustion engine and a second electric machine at the rear axle. On an optimal concept level, the power and gear ratios of the electric components in the 48 V system are defined for the best fuel consumption and performance. In the second step, the optimal P0+P4 drivetrain is simulated with a prototype model using a realistic rule-based operating strategy to determine realistic behavior in legal cycles and customer operation. The optimal variant shows a fuel consumption reduction in the Worldwide harmonized Light Duty Test Cycle of 13.6 % compared to a conventional vehicle whereas the prototype simulation shows a relatively higher savings potential of 14.8 %. In the prototype simulation for customer operation, the 48 V hybrid drivetrain reduces the fuel consumption by up to 24.6 % in urban areas due to a high amount of launching and braking events. Extra-urban and highway areas show fuel reductions up to 11.6 % and 4.2 %, respectively due to higher vehicle speed and power requirements. The presented virtual toolchain can be used to combine optimal concept dimensioning with close to reality behaviour simulations to maximise realistic statements and minimize time effort.


1989 ◽  
Vol 18 (2) ◽  
pp. 209-225 ◽  
Author(s):  
G. Ronald Gilbert ◽  
Ardel E. Nelson

McClellan Air Force Base is engaged in a five year demonstration project aimed at both simplifying the current personnel management system and improving quality production and services in a logistics setting. The fundamental purpose of the demonstration is the design and test of a management system exportable to the entire federal sector that will accomplish the goal of better management, improved product and service quality, and correct the various deficiencies associated with traditional efficiency models. This article discusses the Pacer Share Project which offers a prototype model, using changed personnel policies, practices, and procedures to improve overall mission accomplishment performance and quality work life at the McClellan Air Force Base. This article represents the opinions of the authors and should not be construed as in any way representing official or unofficial viewpoints of the U.S. Air Force or the Office of Personnel Management.


Author(s):  
Joel A. Lamson ◽  
Stuart W. Baur

The concept of combining both solar thermal and electric systems is not new yet the limited use and further development needed has been noted by both the Department of Energy in the U.S. [1] and the EU Coordination Action PV-Catapult in Europe [2]. These reports and the university’s solar house entry in the Department of Energy’s 2005 Solar Decathlon provided the opportunity for research and development of a hybrid roof system that combined both photovoltaics with a wet solar thermal system. The main goal of this research was to design and develop a hybrid roof system based on previous research. Once designed then build a prototype model for the purpose of performance analysis with the final stage being the implementation in the university’s solar house entry into the 2005 solar decathlon. This paper discusses the hybrid roof design and performance analysis. The design and development was initialized by a group of students and advisors from both the University of Missouri-Rolla and Crowder College with the intent to use the hybrid system as part of the solar houses in the upcoming solar decathlons. Previous research studies on hybrid roof systems have shown increased performance however the differences in the systems studied vary in their setups and use of materials. In the case of this study a series of copper tubes were integrated into a metal seam roof with an amorphous silicon panel encased in low iron glass. This experiment encompassed almost 160 square feet of hybrid Solar Thermal Electric Panel (STEP) system panels and performance data acquired was used for input to computer simulation software to optimize the system for application. Based on experimental tests the STEP system yielded overall efficiency of 50%. This is compared to a separate thermal and electric system with an estimated 26% for the same roof area. The glazed versus unglazed analysis yielded a glazed panel reducing the PV collection by 23% yet increasing the thermal collection by approximately 200%. In conclusion this paper will discuss experimental performance analysis on the STEP system thermal and overall outcomes.


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