arXiv: Disordered Systems and Neural Networks最新文献_第4页

Numerical modeling of nonohmic percolation conduction and Poole–Frenkel laws 非声速渗流传导及Poole-Frenkel定律的数值模拟

arXiv: Disordered Systems and Neural Networks Pub Date : 2020-06-12 DOI: 10.1063/5.0019844

Maria Patmiou, V. G. Karpov, G. Serpen, B. Weborg

引用次数: 5

Fragile extended phases in the log-normal Rosenzweig-Porter model 对数正态Rosenzweig-Porter模型中的脆弱扩展相

arXiv: Disordered Systems and Neural Networks Pub Date : 2020-06-08 DOI: 10.1103/physrevresearch.2.043346

Ivan M Khaymovich, V. Kravtsov, B. Altshuler, L. Ioffe

引用次数: 35

Phase transitions and correlations in fracture processes where disorder and stress compete 断裂过程中失序和应力竞争的相变和相关性

arXiv: Disordered Systems and Neural Networks Pub Date : 2020-05-23 DOI: 10.1103/PHYSREVRESEARCH.2.043108

S. Sinha, Subhadeep Roy, A. Hansen

引用次数: 7

Probing many-body localization in a disordered quantum dimer model on the honeycomb lattice 蜂窝晶格上无序量子二聚体模型的多体定位探测

arXiv: Disordered Systems and Neural Networks Pub Date : 2020-05-20 DOI: 10.21468/SCIPOSTPHYS.10.2.044

F. Pietracaprina, F. Alet

引用次数: 9

Effective Ruderman–Kittel–Kasuya–Yosida-like Interaction in Diluted Double-exchange Model: Self-learning Monte Carlo Approach 稀释双交换模型中有效的Ruderman-Kittel-Kasuya-Yosida-like相互作用:自学习蒙特卡罗方法

arXiv: Disordered Systems and Neural Networks Pub Date : 2020-05-14 DOI: 10.7566/JPSJ.90.034711

Hidehiko Kohshiro, Y. Nagai

引用次数: 6

Evidence of many thermodynamic states of the three-dimensional Ising spin glass 三维伊辛自旋玻璃的许多热力学状态的证据

arXiv: Disordered Systems and Neural Networks Pub Date : 2020-05-12 DOI: 10.1103/PHYSREVRESEARCH.2.043241

Wenlong Wang, M. Wallin, J. Lidmar

{"title":"Evidence of many thermodynamic states of the three-dimensional Ising spin glass","authors":"Wenlong Wang, M. Wallin, J. Lidmar","doi":"10.1103/PHYSREVRESEARCH.2.043241","DOIUrl":"https://doi.org/10.1103/PHYSREVRESEARCH.2.043241","url":null,"abstract":"We present a large-scale simulation of the three-dimensional Ising spin glass with Gaussian disorder to low temperatures and large sizes using optimized population annealing Monte Carlo. Our primary focus is investigating the number of pure states regarding a controversial statistic, characterizing the fraction of centrally peaked disorder instances, of the overlap function order parameter. We observe that this statistic is subtly and sensitively influenced by the slight fluctuations of the integrated central weight of the disorder-averaged overlap function, making the asymptotic growth behaviour very difficult to identify. Modified statistics effectively reducing this correlation are studied and essentially monotonic growth trends are obtained. The effect of temperature is also studied, finding a larger growth rate at a higher temperature. Our detailed examination and state-of-the-art simulation provide a coherent picture of many pure states, explain the previous findings, and the controversy is solved. The pertinent status of the number of pure states beyond this statistic is also discussed, and we find the spin glass balance is overall tilting towards many pure states studied by simulations.","PeriodicalId":8438,"journal":{"name":"arXiv: Disordered Systems and Neural Networks","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89312995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Singularities in Hessian element distributions of amorphous media 非晶介质黑森元分布的奇异性

arXiv: Disordered Systems and Neural Networks Pub Date : 2020-05-05 DOI: 10.1103/PHYSREVRESEARCH.2.042025

Vishnu V. Krishnan, S. Karmakar, K. Ramola

引用次数: 0

Phase Diagram Reconstruction of the Bose–Hubbard Model with a Restricted Boltzmann Machine Wavefunction 具有受限玻尔兹曼机波函数的Bose-Hubbard模型相图重建

arXiv: Disordered Systems and Neural Networks Pub Date : 2020-04-27 DOI: 10.7566/JPSJ.89.094002

Vladimir Vargas-Calderón, H. Vinck-Posada, F. A. Gonz'alez

{"title":"Phase Diagram Reconstruction of the Bose–Hubbard Model with a Restricted Boltzmann Machine Wavefunction","authors":"Vladimir Vargas-Calderón, H. Vinck-Posada, F. A. Gonz'alez","doi":"10.7566/JPSJ.89.094002","DOIUrl":"https://doi.org/10.7566/JPSJ.89.094002","url":null,"abstract":"Recently, the use of neural quantum states for describing the ground state of many- and few-body problems has been gaining popularity because of their high expressivity and ability to handle intractably large Hilbert spaces. In particular, methods based on variational Monte Carlo have proven to be successful in describing the physics of bosonic systems such as the Bose-Hubbard model. However, this technique has not been systematically tested on the parameter space of the Bose-Hubbard model, particularly at the boundary between the Mott insulator and superfluid phases. In this work, we evaluate the capabilities of variational Monte Carlo with a trial wavefunction given by a Restricted Boltzmann Machine to reproduce the quantum ground state of the Bose-Hubbard model on several points of its parameter space. To benchmark the technique, we compare its results to the ground state found through exact diagonalization for small one-dimensional chains. In general, we find that the learned ground state correctly estimates many observables, reproducing to a high degree the phase diagram for the first Mott lobe and part of the second one. However, we find that the technique is challenged whenever the system transitions between excitation manifolds, as the ground state is not learned correctly at these boundaries. Nonetheless, we propose a method to discard noisy probabilities learned in the ground state, which improves the quality of the results produced by the method.","PeriodicalId":8438,"journal":{"name":"arXiv: Disordered Systems and Neural Networks","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74552108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Guided search for desired functional responses via Bayesian optimization of generative model: Hysteresis loop shape engineering in ferroelectrics 通过生成模型的贝叶斯优化引导搜索所需的功能响应:铁电体中的磁滞环形状工程

arXiv: Disordered Systems and Neural Networks Pub Date : 2020-04-27 DOI: 10.1063/5.0011917

Sergei V. Kalinin, M. Ziatdinov, R. Vasudevan

{"title":"Guided search for desired functional responses via Bayesian optimization of generative model: Hysteresis loop shape engineering in ferroelectrics","authors":"Sergei V. Kalinin, M. Ziatdinov, R. Vasudevan","doi":"10.1063/5.0011917","DOIUrl":"https://doi.org/10.1063/5.0011917","url":null,"abstract":"Advances in predictive modeling across multiple disciplines have yielded generative models capable of high veracity in predicting macroscopic functional responses of materials. Correspondingly, of interest is the inverse problem of finding the model parameter that will yield desired macroscopic responses, such as stress-strain curves, ferroelectric hysteresis loops, etc. Here we suggest and implement a Gaussian Process based methods that allow to effectively sample the degenerate parameter space of a complex non-local model to output regions of parameter space which yield desired functionalities. We discuss the specific adaptation of the acquisition function and sampling function to make the process efficient and balance the efficient exploration of parameter space for multiple possible minima and exploitation to densely sample the regions of interest where target behaviors are optimized. This approach is illustrated via the hysteresis loop engineering in ferroelectric materials, but can be adapted to other functionalities and generative models. The code is open-sourced and available at [this http URL].","PeriodicalId":8438,"journal":{"name":"arXiv: Disordered Systems and Neural Networks","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83707858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Quasi-many-body localization of interacting fermions with long-range couplings 远距离耦合费米子相互作用的准多体局域化

arXiv: Disordered Systems and Neural Networks Pub Date : 2020-04-24 DOI: 10.1103/physrevresearch.2.043368

S. Thomson, M. Schirò

{"title":"Quasi-many-body localization of interacting fermions with long-range couplings","authors":"S. Thomson, M. Schirò","doi":"10.1103/physrevresearch.2.043368","DOIUrl":"https://doi.org/10.1103/physrevresearch.2.043368","url":null,"abstract":"A number of experimental platforms for quantum simulations of disordered quantum matter, from dipolar systems to trapped ions, involve degrees of freedom which are coupled by power-law decaying hoppings or interactions, yet the interplay of disorder and interactions in these systems is far less understood than in their short-ranged counterpart. Here we consider a prototype model of interacting fermions with disordered long-ranged hoppings and interactions, and use the flow equation approach to map out its dynamical phase diagram as a function of hopping and interaction exponents. We demonstrate that the flow equation technique is ideally suited to problems involving long-range couplings due to its ability to accurately simulate very large system sizes. We show that, at large on-site disorder and for short-range interactions, a transition from a delocalized phase to a quasi many-body localized (MBL) phase exists as the hopping range is decreased. This quasi-MBL phase is characterized by intriguing properties such as a set of emergent conserved quantities which decay algebraically with distance. Surprisingly we find that a crossover between delocalized and quasi-MBL phases survives even in the presence of long-range interactions.","PeriodicalId":8438,"journal":{"name":"arXiv: Disordered Systems and Neural Networks","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81563672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14