#Frustration, #Magnetism, #Heavy_Fermions

🎞 https://mediacentral.princeton.edu/media/12-14-13+p.m.+1+-+PWA90+-++Frustration%2C+Magnetism%2C+Heavy+Fermions/1_izdn7gq9

🎞 http://www.aparat.com/v/c0UG2

🎞 http://www.aparat.com/v/kFP6g

💥دبیرستان علامه حلی تهران برگزار می‌کند
🔖 #سخنرانی بینایی ‌و روانشناسی اعصاب
⚡️توسط دو تن از دانشمندان بزرگ نوروساینس ایرانی

👤پشتیبانی:
@Heliosupport1

@Helliphysicsclub

🔅Norbert Blum claims to have proved P ≠ NP. For some very nonexpert comments on this, visit:

https://johncarlosbaez.wordpress.com/2017/08/15/norbert-blum-on-p-versus-np/amp/

🐋 https://www.quantamagazine.org/the-computational-foundation-of-life-20170126?utm_content=buffer0cc1e&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

🔖 Structure in scientific networks: towards predictions of research dynamism

Benjamin W. Stewart, Andy Rivas, Luat T. Vuong

🔗 https://arxiv.org/pdf/1708.03850

📌 ABSTRACT
Certain areas of scientific research flourish while others lose advocates and attention. We are interested in whether structural patterns within citation networks correspond to the growth or decline of the research areas to which those networks belong. We focus on three topic areas within optical physics as a set of cases; those areas have developed along different trajectories: one continues to expand rapidly; another is on the wane after an earlier peak; the final area has re-emerged after a short waning period. These three areas have substantial overlaps in the types of equipment they use and general methodology; at the same time, their citation networks are largely independent of each other. For each of our three areas, we map the citation networks of the top-100 most-cited papers, published pre-1999. In order to quantify the structures of the selected articles' citation networks, we use a modified version of weak tie theory in tandem with entropy measures. Although the fortunes of a given research area are most obviously the result of accumulated innovations and impasses, our preliminary study provides evidence that these citation networks' emergent structures reflect those developments and may shape evolving conversations in the scholarly literature.

✅ SFI and ASU to offer online M.S. in Complexity

https://www.complexityexplorer.org/news/71-sfi-and-asu-to-offer-online-m-s-in-complexity

The degree planners envision 30 credit hours comprising 15 two-credit-hour courses: five in the fundamental concepts of complexity (e.g., generalized evolution and collective computation), four in the methods of complexity science (e.g. networks, game theory), four electives (e.g. economics or cities), two independent study options, and an original research project. The first degree cohort is expected to be admitted in fall 2018 or spring 2019.

🌀 Make your mark and show the world what you can achieve with the Santa Fe Institute’s Complexity Challenges

https://www.complexityexplorer.org/challenges

🎞 see: 👇

What are the Complexity Challenges?

🐝 http://www.sciencemag.org/news/2017/07/antisocial-bees-share-genetic-profile-people-autism

#Autism #bees

Correlation CAN Imply Causation! | Statistics Misconceptions

Watch the income distribution in America change

❌ Razborov says the proof is wrong!

https://cstheory.stackexchange.com/questions/38803/is-norbert-blums-2017-proof-that-p-ne-np-correct/38832#comment88852_38832

⭕️Paper: History effects on network growth
https://arxiv.org/pdf/1505.06450.pdf
🌀Hadiseh Safdari, Milad Zare Kamali, Amir Hossein Shirazi, Moein Khaliqi and Gholamreza Jafari

⭕️Abstract: Growth dynamic of real networks because of emerging complexities is an open and interesting
question. Indeed it is not realistic to ignore history impact on the current events. The mystery
behind that complexity could be in the role of history in some how. To regard this point, the average
effect of history has been included by a kernel function in differential equation of Baraba´si Albert
(BA) model . This approach leads to a fractional order BA differential equation as a generalization
of BA model. As opposed to unlimited growth for degree of nodes, our results show that over
time the memory impact will cause a decay for degrees. This gives a higher chance to younger
members for turning to a hub. In fact in a real network, there are two competitive processes. On
one hand, based on preferential attachment mechanism nodes with higher degree are more likely
to absorb links. On the other hand, node history through aging process prevents new connections.
Our findings from simulating a network grown by considering these effects also from studying a
real network of collaboration between Hollywood movie actors confirms the results and significant effects of history and time on dynamics.

🎞 Homotopy and Bifurcation:
This lecture summarized what students have learned on linear algebra and systems of nonlinear equations:

https://ocw.mit.edu/courses/chemical-engineering/10-34-numerical-methods-applied-to-chemical-engineering-fall-2015/class-videos/session-9-homotopy-and-bifurcation/#vid_related

🌀 What is Emergence?
http://emergence.ucdavis.edu/emergence.html

David Pines, Distinguished Professor of Physics, UC Davis
and Chief Evangelist, ICAM

🎞 http://www.aparat.com/v/ZUHAP

کارسوق «پیچیدگی های طبیعت» قسمت سوم

🎞 http://podcasts.ox.ac.uk/sparse-matrices-and-iterative-methods-11

#جلسه_دفاع از پایان‌نامه کارشناسی ارشد

علیرضا سعیدی
۹۶/۰۵/۳۰ - ساعت ۱۰:۰۰
کلاس۳ دانشکده فیزیک، دانشگاه شهید بهشتی