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Dominant energy subspaces of statistical systems are defined with the help of restrictive conditions on various characteristics of the energy distribution, such as the probability density and the forth order Binder's cumulant. Our analysis…

Statistical Mechanics · Physics 2007-05-23 A. Malakis , S. S. Martinos , I. A. Hadjiagapiou , N. G. Fytas , P. Kalozoumis

We review the recently developed critical minimum energy-subspace (CrMES) technique. This scheme produces an immense optimization of popular algorithms, such as the Wang-Landau (WL) and broad histogram methods, by predicting the essential…

Statistical Mechanics · Physics 2008-02-01 Anastasios Malakis , Nikolaos G. Fytas

The three-dimensional bimodal random-field Ising model is studied via a new finite temperature numerical approach. The methods of Wang-Landau sampling and broad histogram are implemented in a unified algorithm by using the N-fold version of…

Statistical Mechanics · Physics 2008-02-01 Nikolaos G. Fytas , Anastasios Malakis

The three-dimensional bimodal random-field Ising model is investigated using the N-fold version of the Wang-Landau algorithm. The essential energy subspaces are determined by the recently developed critical minimum energy subspace…

Statistical Mechanics · Physics 2009-11-13 A. Malakis , N. G. Fytas

We apply the recently developed critical minimum energy subspace scheme for the investigation of the random-field Ising model. We point out that this method is well suited for the study of this model. The density of states is obtained via…

Statistical Mechanics · Physics 2007-05-23 Anastasios Malakis , Nikolaos G. Fytas

We implement a two-stage approach of the Wang-Landau algorithm to investigate the critical properties of the 3D Ising model with quenched bond randomness. In particular, we consider the case where disorder couples to the nearest-neighbor…

Statistical Mechanics · Physics 2011-06-03 P. E. Theodorakis , N. G. Fytas

Space-filling designs are important in computer experiments, which are critical for building a cheap surrogate model that adequately approximates an expensive computer code. Many design construction techniques in the existing literature are…

Methodology · Statistics 2022-08-30 Chaofan Huang , V. Roshan Joseph , Douglas M. Ray

We present a simple and efficient approximation scheme which greatly facilitates extension of Wang-Landau sampling (or similar techniques) in large systems for the estimation of critical behavior. The method, presented in an algorithmic…

Statistical Mechanics · Physics 2007-05-23 A. Malakis , A. Peratzakis , N. G. Fytas

The sensitivity of the random field Ising model to small random perturbations of the quenched disorder is studied via exact ground states obtained with a maximum-flow algorithm. In one and two space dimensions we find a mild form of chaos,…

Disordered Systems and Neural Networks · Physics 2009-10-31 M. Alava , H. Rieger

In this paper, we propose a new end-to-end methodology to optimize the energy performance and the comfort, air quality and hygiene of large buildings. A metamodel based on a Transformer network is introduced and trained using a dataset…

Signal Processing · Electrical Eng. & Systems 2020-06-23 Max Cohen , Maurice Charbit , Sylvain Le Corff , Marius Preda , Gilles Nozière

Recently, it has been shown that compressed sensing (CS) has the potential to lower energy consumption in wireless electrocardiogram (ECG) systems. By reducing the number of acquired measurements, the communication burden is decreased and…

Signal Processing · Electrical Eng. & Systems 2018-06-06 Luisa Polania , Rafael Plaza

The application of Compresses Sensing is a promising physical layer technology for the joint activity and data detection of signals. Detecting the activity pattern correctly has severe impact on the system performance and is therefore of…

Information Theory · Computer Science 2014-04-04 Fabian Monsees , Carsten Bockelmann , Dirk Wübben , Armin Dekorsy

Cyber-physical systems (CPS) are interconnected architectures that employ analog, digital, and communication resources for their interaction with the physical environment. CPS are the backbone of enterprise, industrial, and critical…

Cryptography and Security · Computer Science 2021-02-22 Ioannis Zografopoulos , Juan Ospina , XiaoRui Liu , Charalambos Konstantinou

Wireless distributed sensor network consists of randomly deployed sensors having low energy assets. These networks can be used for monitoring a variety of environments. Major problems of these networks are energy constraints and their…

Networking and Internet Architecture · Computer Science 2016-11-17 N. Amjad , N. Javaid , A. Haider , A. A. Awan , M. Rahman

In this paper, we develop the constraint energy minimization generalized multiscale finite element method (CEM-GMsFEM) in mixed formulation applied to parabolic equations with heterogeneous diffusion coefficients. The construction of the…

Numerical Analysis · Mathematics 2020-10-01 Yiran Wang , Eric Chung , Lina Zhao

Energy functions for pure and heterogenous systems are one of the backbones for molecular simulation of condensed phase systems. With the advent of machine learned potential energy surfaces (ML-PESs) a new era has started. Statistical…

Climate-controlled cabins have for decades been standard in vehicles. Model Predictive Controllers (MPCs) have shown promising results in achieving temperature tracking in vehicle cabins and may improve upon model-free control performance.…

Systems and Control · Electrical Eng. & Systems 2023-10-06 David Stenger , Tim Reuscher , Heike Vallery , Dirk Abel

The thermodynamic properties of systems with long-range interactions is still an ongoing challenge, both from the point of view of theory as well as computer simulation. In this work we study a model system, a Coulomb gas confined inside a…

Statistical Mechanics · Physics 2020-11-04 Sergio Davis , Jalaj Jain , Biswajit Bora

Simulation tools and testbeds have been proposed to assess the performance of control designs and wireless protocols in isolation. A cyber-physical system (CPS), however, integrates control with network elements, which must be evaluated…

Networking and Internet Architecture · Computer Science 2021-04-19 Dominik Baumann , Fabian Mager , Harsoveet Singh , Marco Zimmerling , Sebastian Trimpe

In this paper, we consider the offline and online Constraint Energy Minimizing Generalized Mul- tiscale Finite Element Method (CEM-GMsFEM) for high-contrast linear elasticity problem. Offline basis construction starts with an auxiliary…

Numerical Analysis · Mathematics 2018-09-12 Shubin Fu , Eric T. Chung
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