The Max Planck Institute for Marine Microbiology researches marine bacteria that transform carbon, nitrogen, sulphur and iron compounds, thus playing crucial roles in the global material cycle.
more A model virus-host system for chronic infections in prokaryotes: Viruses as
The Max Planck Institute for Marine Microbiology researches marine bacteria that transform carbon, nitrogen, sulphur and iron compounds, thus playing crucial roles in the global material cycle.
more A model virus-host system for chronic infections in prokaryotes: Viruses as
LIGO observes a signal, which was once again discovered at the Albert Einstein Institute in Hannover.
The most probable waveform for the merger of black holes in accordance with the model
A decentralized power grid with many small wind generators, solar generators and other renewable energy transducers along with additional power lines may be less vulnerable to outages than a centralized power grid with a small number of large power plants, because self-synchronization occurs in the former. This finding was made through simulations performed by the research team led by M. Timme at the Max Planck Institute for Dynamics and Self-Organisation. However, they found that it is important for grid stability that new lines are planned with care in order to avoid Braess’s Paradox.
Institute for Dynamics and Self-Organization in Göttingen have now discovered in model
Designing new materials that meet technological needs is time consuming and costly, facing a huge amount of possible element combinations. An international research team developed a machine learning framework that identifies the best material compositions for targeted properties. The method was successfully applied to Invar alloys with improved thermal expansion properties.
First, promising alloy compositions are found based on a deep generative model that
Designing new materials that meet technological needs is time consuming and costly, facing a huge amount of possible element combinations. An international research team developed a machine learning framework that identifies the best material compositions for targeted properties. The method was successfully applied to Invar alloys with improved thermal expansion properties.
First, promising alloy compositions are found based on a deep generative model that
New evidence suggests that mean annual precipitation in the Amazon region is not going to change significantly even if it were completely deforested. This finding of the Max Planck Institue for Meteorology is contrary to concerns that beyond a tipping point, the Amazon would turn into a savannah.
scientists Arim Yoon and Cathy Hohenegger used the global storm-resolving ICON model
Optimale Ergebnisse in den Simulationswissenschaften erfordern technisches Detailwissen über die Ressourcen in großen Rechenzentren. Ein automatisches Auswahl- und Bereitstellungs-Tool schafft Nutzerkomfort und steigert die Effizienz.
Transparent Model-Driven Provisioning of Computing Resources for Numerically Intensive
Optimale Ergebnisse in den Simulationswissenschaften erfordern technisches Detailwissen über die Ressourcen in großen Rechenzentren. Ein automatisches Auswahl- und Bereitstellungs-Tool schafft Nutzerkomfort und steigert die Effizienz.
Transparent Model-Driven Provisioning of Computing Resources for Numerically Intensive
Die Charcot-Marie-Tooth Neuropathie (CMT), die häufigste vererbbare Erkrankung des peripheren Nervensystems, ist bislang nicht behandelbar. Mittels transgener Tiermodelle konnten wir neue Therapieansätze entwickeln, die derzeit auf den Menschen übertragen werden sollen. Das eröffnet ca. 1,5 Millionen weltweit betroffenen Patienten sowie ihren Kindern mit einer genetischen Diagnose neue Behandlungsmöglichkeiten.
Targeting myelin lipid metabolism as a potential therapeutic strategy in a model
