001     1053174
005     20260203123500.0
037 _ _ |a FZJ-2026-01506
041 _ _ |a English
082 _ _ |a 004
100 1 _ |a Mohanty, Sandipan
|0 P:(DE-Juel1)132590
|b 0
|e Corresponding author
111 2 _ |a CECAM School "Atomistic Monte Carlo Simulations of Bio-molecular Systems"
|c Jülich
|d 2025-09-22 - 2025-09-26
|w Germany
245 _ _ |a Atomistic Monte Carlo Simulations of Bio-molecular Systems
260 _ _ |c 2025
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a LECTURE_SPEECH
|2 ORCID
336 7 _ |a Talk (non-conference)
|b talk
|m talk
|0 PUB:(DE-HGF)31
|s 1769767363_29794
|2 PUB:(DE-HGF)
|x Other
336 7 _ |a Other
|2 DINI
520 _ _ |a The CECAM school “Atomistic Monte Carlo Simulations of Bio-molecular Systems” took place at the Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany, from 22 to 26 September 2025. A total of 19 scientists from 8 countries attended the school.The school started with a beginner level introduction to the theory of modern Monte Carlo (MC) methods, given by guest lecturer Prof. Anders Irbäck from Lund University, Sweden. Through alternating theory and hands-on sessions, the participants consolidated their understanding of MC techniques and their application to biological macro-molecules. The participants learned to set up their own protein folding simulations using different MC algorithms implemented in the software package ProFASi, and ran them on the JSC cluster JUSUF. ProFASi is an open source project actively developed by the organizers from the Simulation and Data Laboratory Biology at JSC. Guest lecturer, Prof. Stefan Wallin from Memorial University, Canada, demonstrated how the software may be extended and deployed for scientific research on MC techniques and application, beyond the research interests of the primary developers. Participants also presented posters describing their current research work, and, by means of intensive discussions with experienced MC researchers, generated exciting new ideas regarding the application of MC techniques in their research domains.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
700 1 _ |a Zimmermann, Olav
|0 P:(DE-Juel1)132307
|b 1
700 1 _ |a Meinke, Jan
|0 P:(DE-Juel1)132189
|b 2
773 _ _ |0 PERI:(DE-600)2532499-8
856 4 _ |u https://www.cecam.org/workshop-details/atomistic-monte-carlo-simulations-of-bio-molecular-systems-1401
909 C O |o oai:juser.fz-juelich.de:1053174
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)132590
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)132307
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)132189
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
915 _ _ |a Peer Review unknown
|0 StatID:(DE-HGF)0040
|2 StatID
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a talk
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21