Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Stefan Schnabel"'
Autor:
Stefan Schnabel, Wolfhard Janke
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
We derive a formula that expresses the density of states of a system with continuous degrees of freedom as a function of microcanonical averages of squared gradient and Laplacian of the Hamiltonian. This result is then used to propose a novel flat-hi
Externí odkaz:
https://doaj.org/article/708dd06d336a414b8c0b50832ad49900
Publikováno v:
Physical Review X, Vol 13, Iss 3, p 031006 (2023)
We present a fast, hierarchical, and adaptive algorithm for Metropolis Monte Carlo simulations of systems with long-range interactions that reproduces the dynamics of a standard implementation exactly, i.e., the generated configurations and consequen
Externí odkaz:
https://doaj.org/article/6d0a58b6e6744a2f8c32a0e05d661114
Autor:
Stefan Schnabel, Wolfhard Janke
Publikováno v:
Macromolecular Theory and Simulations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4666f0afa04e7b2ac567dff28c51a4b
https://doi.org/10.1002/mats.202200080
https://doi.org/10.1002/mats.202200080
Autor:
Stefan Schnabel, Wolfhard Janke
We show how polymer models with untruncated intra-molecular interactions and continuous degrees of freedom can be investigated by means of Monte Carlo techniques even for large systems. To this end we adapt Clisby’s method for the simulation of sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::042ca1292c604d4d279d7a814035c7c7
https://ul.qucosa.de/id/qucosa:85909
https://ul.qucosa.de/id/qucosa:85909
Autor:
Stefan Schnabel, Christian Mawrin, Felix Sahm, Natalie Waldt, Christoph Kesseler, Josephine Liebich, Peter John, C. Scherlach, Frank Angenstein, I. Erol Sandalcioglu, Elmar Kirches
Publikováno v:
Neuropathology & applied neurobiology 48(2), e12780 (2022). doi:10.1111/nan.12780
Objectives Meningiomas are the most frequent primary brain tumours. Recently, knowledge about the molecular drivers underlying aggressive meningiomas has been expanded. A hotspot mutation in the AKT1 gene (AKT1E17K ), which is found in meningiomas at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cca490852d8aecdd9a5e8a3886f1d3a
https://doi.org/10.1111/nan.12780
https://doi.org/10.1111/nan.12780
Autor:
Peter, John, Natalie, Waldt, Josephine, Liebich, Christoph, Kesseler, Stefan, Schnabel, Frank, Angenstein, I Erol, Sandalcioglu, Cordula, Scherlach, Felix, Sahm, Elmar, Kirches, Christian, Mawrin
Publikováno v:
Neuropathology and applied neurobiologyREFERENCES. 48(2)
Meningiomas are the most frequent primary brain tumours. Recently, knowledge about the molecular drivers underlying aggressive meningiomas has been expanded. A hotspot mutation in the AKT1 gene (AKT1Here, we analysed the effects of the AKT1We show th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::92b5a6bedc3683fa7857a0f3fb655aaa
https://pubmed.ncbi.nlm.nih.gov/34837233
https://pubmed.ncbi.nlm.nih.gov/34837233
Autor:
Wolfhard Janke, Stefan Schnabel
We show how the well-known Wang-Landau method can be modified to produce non-flat distributions. Through the choice of a suitable profile this can lead to an increase in efficiency for some systems. Examples for such an enhancement are provided.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f039d593704bbfad508a46d076d650a
http://arxiv.org/abs/2102.00842
http://arxiv.org/abs/2102.00842
Autor:
Wolfhard Janke, Stefan Schnabel
Publikováno v:
The European Physical Journal B. 93
Abstract We describe how metastable states of Ising spin glasses can be counted by means of Monte Carlo computer simulations. The method is applied to systems defined on hypercubic lattices in one to six dimensions with up to about 103 spins. It is s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a3e4da71ebd89d19854ee16b5e31f5e
https://doi.org/10.1140/epjb/e2020-100480-4
https://doi.org/10.1140/epjb/e2020-100480-4
Autor:
Stefan Schnabel, Wolfhard Janke
The complex behavior of systems like spin glasses, proteins or neural networks is typically explained in terms of a rugged energy or fitness landscape. Within the high-dimensional conformation space of these systems one finds features like barriers,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::695d9a1246d52b1ca3800136cc526205
https://ul.qucosa.de/id/qucosa:85910
https://ul.qucosa.de/id/qucosa:85910
Autor:
Stefan Schnabel, Wolfhard Janke
Publikováno v:
Computer Physics Communications. 256:107414
We show how a Monte Carlo method for generating self-avoiding walks on lattice geometries which employs a binary-tree data-structure can be adapted for hard-sphere polymers with continuous degrees of freedom. Data suggests that the time per Monte Car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13442a6cacff5ffe3b05304463c93d99
https://doi.org/10.1016/j.cpc.2020.107414
https://doi.org/10.1016/j.cpc.2020.107414