The spliceosome, a protein-directed metallo-ribozyme, catalyzes premature mRNA splicing via two...
J. Borisek and A. Magistrato
3 public live webinars " Fireside chats for lockdown times: A gentle introduction to density-...
S. Cheeseman, A.J. Christofferson, R. Kariuki, D. Cozzolino, T. Daeneke, R.J. Crawford, V.K. Truong...
The school "Electronic Excitations in Novel Materials using the Yambo code" was held at the International Center of Theoretical Physics (ICTP) campus in Trieste from 27th to 31st January 2020. The school was sponsored by the MaX Centre of Excellence and the Psi-K network and was part of the ICTP 2020 scientific calendar.
The accurate prediction of the time-to-solution required by massively parallel scientific codes is a key goal in HPC. It allows scientists to better program and allocate their computational tasks, and benefits environmental sustainability since energy waste due to sub-optimal execution parameters could be easily detected. Such prediction is however especially challenging for hybrid and complex architectures. An important step in this direction has been obtained with machine learning techniques for DFT-based material science codes. The results by Pittino et al, presented at PASC 19, show how accurate predictions obtained with machine learning approaches can outperform parametrized analytical performance models made by domain experts.
MaX developers are working to support the European HPC community. As of today, a number of MaX...
I.V. Borisenko, B. Divinskiy, V.E. Demidov, G. Li, T. Nattermann, V.L. Pokrovsky, and S.O...
H.N.S. Krishnamoorthy, G. Adamo, J. Yin, V. Savinov, N.I. Zheludev, and C. Soci
A. Radmilovic, T.J. Smart, Y. Ping, and K.S. Choi
We present a transient absorption setup combining broadband detection over the visible–UV range...
C. Trovatello, H.P.C. Miranda, A. Molina-Sanchez, R. Borrego-Varillas, C. Manzoni, L. Moretti, L...
C. Trovatello, H.P.C. Miranda, A. Molina-Sanchez, R. Borrego-Varillas, C. Manzoni, L. Moretti, L...
M. El Abbassi, M.L. Perrin, G.B. Barin, S. Sangtarash, J. Overbeck, O. Braun, C.J. Lambert, Q. Sun...
W.N. Chen, D. Talreja, D. Eichfeld, P. Mahale, N.N. Nova, H.Y. Cheng, J.L. Russell, S.Y. Yu, N...
NEWS: The "Digital Learning for Electronic Structure Theory Codes" School, initially scheduled in Lausanne from April 27 to April 30, has been postponed to a later date . We will keep you abreast once the new date will be confirmed. Event: Digital Learning for Electronic Structure Theory Codes Where: CECAM-HQ-EPFL, Lausanne, CH Who (in-charge): UGent, EPFL What: School When: 27-30 April 2020
NEWS: The school First-principles simulations of materials with SIESTA, initially scheduled in Prague from May 4 to May 8 2020, has been postponed to a later date . We will keep you abreast once the new date will be confirmed. Event: First-principles simulations of materials with SIESTA Where: Faculty of Electrical Engineering (Fakulta Elektrotechnická) in Technická 2, Prague (Czech Republic) Who (in-charge): Zeila Zanolii (ICN2) What: School When: 4-8 May 2020
K.S. Deeg, D.D. Borges, D. Ongari, N. Rampal, L. Talirz, A.V. Yakutovich, J.M. Huck, and B. Smit
Q. Sun, O. Groning, J. Overbeck, O. Braun, M.L. Perrin, G.B. Barin, M. El Abbassi, K. Eimre, E...
K.S. Deeg, D.D. Borges, D. Ongari, N. Rampal, L. Talirz, A.V. Yakutovich, J.M. Huck, and B. Smit
The Advanced school on Quantum Transport using SIESTA code, initially scheduled in San Sebastian 23rd/27th March, has been postponed to a later date . We will keep you abreast once the new date will be confirmed. Event: Advanced school on Quantum Transport using SIESTA Where: DIPC (San Sebastian, ES) Who (in-charge): Zeila Zanolli (ICN2) What: School When: 23 - 27 March 2020 More info and application