نتایج جستجو برای: cluster expansion

تعداد نتایج: 339939  

2005
Paul G. Federbush

Convergence is proven for the mass zero cluster expansion presented in Part 1 of this paper. An indication is given of changes necessary to treat the more difficult 2(V~b) 4 model and the lattice dipole gas. 9. Counting I In these sections we will be concerned with enumerating the terms in the cluster expansion in a way suitable for estimation. The complexities are largely notational, and due t...

Journal: :physical chemistry research 0
gholam hossein bordbar shiraz university s. mizani shiraz university m. t. mohammadi sabet shiraz university

in this paper, at first we have formulated the lowest order constrained variational method for the relativistic case of an interacting fermion system at finite temperature. then we have used this formalism to calculate some thermodynamic properties of liquid in the relativistic regime. the results show that the difference between total energies of relativistic and non-relativistic cases of liqu...

2010
Yuanhai Xue Zeying Peng Xiaoming Yu Yue Liu Hongbo Xu Xueqi Cheng

In this paper, our team – “ICTNET”, participated in the diversity task of Web Track of TREC 2010. The full Category A dataset was used. The same settings as the ad-hoc task were adopted for retrieval. Different clustering methods which were then applied on different fields are elaborated. Query expansion techniques are presented next.

Journal: :The Electronic Journal of Combinatorics 2019

Journal: :Journal of Computational Physics 2022

The Atomic Cluster Expansion (Drautz (2019) [21]) provides a framework to systematically derive polynomial basis functions for approximating isometry and permutation invariant functions, particularly with an eye modelling properties of atomistic systems. Our presentation extends the derivation by proposing precomputation algorithm that yields immediate guarantees complete is obtained. We provid...

Journal: :Physical review research 2022

Semilocal interactions, induced by collaborative electronic relaxations, are captured the multilayer extension of atomic cluster expansion, thereby providing a physically transparent, accurate, and transferable machine-learning interatomic potential.

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