Cel The possibility to produce materials with ultra-strengths could revolutionize materials design. Since 80 years ultra-strength materials are known to exist only theoretically. Now, new experiments show that traditional believe can be overcome by nanostructured design. Yet, while selected experiments point towards this scientifically fascinating and technologically important possibility (e.g. for advances in structural and functional materials), further progress crucially relies on insight from theoretical simulations. The most successful simulation tool is molecular dynamics. Recent advances in hardware allow to tackle trillions of atoms making a comparison with nano-experiments almost possible. The nagging problem is, however, a huge time-scale gap of up to ten orders of magnitude and none of the presently available approaches is able to cope with this discrepancy.TIME-BRIDGE aims at solving the time-scale problem by borrowing a concept well known and developed in the field of first-principles simulations: the pseudopotential ansatz. In first principles simulations a similar time scale gap exists between slow and fast moving electrons. The solution is to capture the effect of the fast electrons only effectively within a pseudopotential while retaining the motion of slow electrons important for chemical bonding. An equivalent pseudopotential ansatz is envisioned to be applicable to the fast thermal motion of atoms, the origin of the time scale problem. Capturing the thermal motion in an effective potential will allow to simulate the relevant mechanical processes occurring on microsecond and second time scales. In TIME-BRIDGE high risk and high gains apply: the physics of electrons is distinct from the atomic motion possibly making the pseudopotential ansatz non-transferable, but—based on PI’s distinguished expertise and his recent methodological advancements—a route to bridge the fundamental time scale gap might arise. Dziedzina nauki natural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencescomputer and information sciencessoftwaresoftware applicationssimulation softwarenatural sciencesmathematicsapplied mathematicsmathematical model Program(-y) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Temat(-y) ERC-StG-2014 - ERC Starting Grant Zaproszenie do składania wniosków ERC-2014-STG Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-STG - Starting Grant Koordynator UNIVERSITY OF STUTTGART Wkład UE netto € 326 250,00 Adres Keplerstrasse 7 70174 Stuttgart Niemcy Zobacz na mapie Region Baden-Württemberg Stuttgart Stuttgart, Stadtkreis Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 326 250,00 Beneficjenci (2) Sortuj alfabetycznie Sortuj według wkładu UE netto Rozwiń wszystko Zwiń wszystko UNIVERSITY OF STUTTGART Niemcy Wkład UE netto € 326 250,00 Adres Keplerstrasse 7 70174 Stuttgart Zobacz na mapie Region Baden-Württemberg Stuttgart Stuttgart, Stadtkreis Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 326 250,00 MAX PLANCK INSTITUT FUR EISENFORSCHUNG GMBH Niemcy Wkład UE netto € 1 173 125,00 Adres Max planck strasse 1 40237 Dusseldorf Zobacz na mapie Region Nordrhein-Westfalen Düsseldorf Düsseldorf, Kreisfreie Stadt Rodzaj działalności Research Organisations Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 1 173 125,00