scholarly journals Strong-coupling diagrammatic Monte Carlo technique for correlated fermions and frustrated spins

2021 ◽  
Vol 103 (19) ◽  
Author(s):  
Johan Carlström
2019 ◽  
Vol 20 (12) ◽  
pp. 1151-1157 ◽  
Author(s):  
Alla P. Toropova ◽  
Andrey A. Toropov

Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishment of quantitative structure – property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to application of the Monte Carlo technique for studying peptides and biopolymers have been discussed in this review.


2021 ◽  
Vol 2021 (2) ◽  
Author(s):  
Hiromasa Watanabe ◽  
Georg Bergner ◽  
Norbert Bodendorfer ◽  
Shotaro Shiba Funai ◽  
Masanori Hanada ◽  
...  

Abstract We provide evidence for partial deconfinement — the deconfinement of a SU(M) subgroup of the SU(N) gauge group — by using lattice Monte Carlo simulations. We take matrix models as concrete examples. By appropriately fixing the gauge, we observe that the M × M submatrices deconfine. This gives direct evidence for partial deconfinement at strong coupling. We discuss the applications to QCD and holography.


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