Educator, learner.
Father, husband.
Born @ 320 ppm atmospheric CO₂ concentration.
| GitHub | https://github.com/ruboerner |
| pixelfed | https://pixelfed.de/ruboerner |
| Bluesky | https://bsky.app/profile/ruboerner.bsky.social |
| GitHub | https://github.com/ruboerner |
| pixelfed | https://pixelfed.de/ruboerner |
| Bluesky | https://bsky.app/profile/ruboerner.bsky.social |
𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗦𝘂𝗺𝗺𝗶𝘁
📅 11.10.2025
📍 Berlin
✏️ Sign up: https://blogs.fu-berlin.de/scientistsresponsibilitysummit/
💻 Online participation possible
What is the appropriate stance of scientists and scholars in the polycrisis? Can they still afford to simply do their research and leave the rest up to the other systems of society? The political and economic experience of the last decades strongly suggests otherwise! On this one-day event we want to draw the conclusions from this diagnosis and develop practical pathways for a transformative role of academia.
We want to bring our knowledge of historical dynamics of science and social change, of media systems and economical power, and of the psychology of pro-environmental behavior to their practical consequences for scientists and scholars from all disciplines. What can we demand from individual academics and from academic institutions and what practical and epistemic tools can we make available to them? How can we protect researchers and the scientific process from the attacks by rising authoritarianism?
Historical evidence suggests that it has very often been social movements from outside or between the existing pillars of power that have generated progressive change. How can we exercise our responsibility as scholars and scientists and strengthen the environmental, decolonial, anti-capitalist movement from inside the scientific community? How can we help achieve a better, healthier and more just future for human well-being and for our more-than-human fellows?
Felix Banaszak kommt ins Momo nach Freiberg.
Montag, 4. August, 17:30 Uhr
Rösterei Momo
Korngasse 3 in Freiberg.
Ihr bringt die Fragen mit. Felix antwortet.
Herzliche Einladung!
#BierMitBanaszak #Mittelsachen #Freiberg #bundnis90diegrunen
Heute ist #ShowYourStripesDay.
Die Klimastreifen machen den raschen Anstieg der globalen Durchschnittstemperaturen seit Beginn der Industrialisierung sichtbar – ohne Worte, ohne Polemik, aber mit eindrücklicher Klarheit.
Jeder einzelne Streifen steht für ein Jahr. Von Blau (kühler) zu Rot (wärmer) zeigen sie: Der Klimawandel ist real, menschengemacht und messbar.
Als Wissenschaftler sehe ich es als Pflicht, diese Signale nicht nur zu verstehen, sondern auch sichtbar zu machen.
#Showyourstripes
Fast parallel transient electromagnetic modeling using a uniform-in-time approximation to the exponential
Ralph-Uwe B\"orner, Stefan G\"uttel
https://arxiv.org/abs/2506.11657 https://arxiv.org/pdf/2506.11657 https://arxiv.org/html/2506.11657
arXiv:2506.11657v1 Announce Type: new
Abstract: A new approach for the parallel forward modeling of transient electromagnetic (TEM) fields is presented. It is based on a family of uniform-in-time rational approximants to the matrix exponential that share a common denominator independent of the evaluation time points. The partial fraction decomposition of this family is exploited to devise a fast solver with high parallel efficiency. The number of shifted linear systems that need to be solved in parallel does not depend on the number of required time channels nor the spatial discretization. We also argue that similar parallel efficiency gains can be expected when solving the inverse TEM problem.
toXiv_bot_toot
A new approach for the parallel forward modeling of transient electromagnetic (TEM) fields is presented. It is based on a family of uniform-in-time rational approximants to the matrix exponential that share a common denominator independent of the evaluation time points. The partial fraction decomposition of this family is exploited to devise a fast solver with high parallel efficiency. The number of shifted linear systems that need to be solved in parallel does not depend on the number of required time channels nor the spatial discretization. We also argue that similar parallel efficiency gains can be expected when solving the inverse TEM problem.