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Research of microring lasers shows prospects of optical applications in electronics


Credit: Kazan Federal University
Problems for eigenmodes of a two-layered dielectric microcavity have become widespread thanks to the research of A.I. Nosich, E.I. Smotrova, S.V. Boriskina and others since the beginning of the 21st century. The KFU team first tackled this topic in 2014; undergraduates started working under the guidance of Evgeny Karchevsky, Professor of the Department of Applied Mathematics of the Institute of Computational Mathematics and Information Technology.
In this paper, the researchers discuss a model of a 2D active microcavity with a piercing hole and the possibility of a compromise between high directionality of radiation and low threshold gain. The analysis performed is based on the lasing eigenvalue problem (LEP) formalism. This LEP is a boundary value problem for the system of Maxwell equations with boundary and radiation conditions, adapted to study the threshold modes of open resonators with active regions. In LEP, each eigenvalue is a pair ....

Evgeny Karchevsky , Information Technology , Applied Mathematics , Computational Mathematics , Calculations Problem Solving , Technology Engineering Computer Science , Electrical Engineering Electronics , தகவல் தொழில்நுட்பம் , பயன்படுத்தப்பட்டது கணிதம் , கணக்கீட்டு கணிதம் , கணக்கீடுகள் ப்ராப்லம் தீர்க்கும் ,

Machine learning at speed


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IMAGE: Technology developed through a KAUST-led collaboration with Intel, Microsoft and the University of Washington can dramatically increase the speed of machine learning on parallelized computing systems.
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Credit: © 2021 KAUST; Anastasia Serin.
Inserting lightweight optimization code in high-speed network devices has enabled a KAUST-led collaboration to increase the speed of machine learning on parallelized computing systems five-fold.
This in-network aggregation technology, developed with researchers and systems architects at Intel, Microsoft and the University of Washington, can provide dramatic speed improvements using readily available programmable network hardware.
The fundamental benefit of artificial intelligence (AI) that gives it so much power to understand and interact with the world is the machine-learning step, in which the model is trained using large sets of labeled training data. The more data the AI is tra ....

Amedeo Sapio , Barefoot Networks , University Of Washington , Barefoot Network , Marco Canini , Algorithms Models , Calculations Problem Solving , Technology Engineering Computer Science , Computer Science , Multimedia Networking Interface Design , Software Engineering , வெறுங்காலுடன் நெட்வொர்க்குகள் , பல்கலைக்கழகம் ஆஃப் வாஷிங்டன் , வெறுங்காலுடன் வலைப்பின்னல் , கணக்கீடுகள் ப்ராப்லம் தீர்க்கும் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் , கணினி அறிவியல் , மல்டிமீடியா நெட்வொர்க்கிங் இடைமுகம் வடிவமைப்பு , மென்பொருள் பொறியியல் ,

UCF study shows masks, ventilation stop COVID spread better than social distancing


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IMAGE: For the study, the researchers created a computer model of a classroom with students and a teacher, then modeled airflow and disease transmission, and calculated airborne-driven transmission risk.
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Credit: Michael Kinzel, UCF
ORLANDO, April 5, 2021 - A new study from the University of Central Florida suggests that masks and a good ventilation system are more important than social distancing for reducing the airborne spread of COVID-19 in classrooms.
The research, published recently in the journal
Physics of Fluids, comes at a critical time when schools and universities are considering returning to more in-person classes in the fall. ....

Aaron Foster , Michael Kinzel , Us Centers For Disease , College Of Engineering , Pennsylvania State University , University Of Central Florida , National Science Foundation , Office Of Research , Aerospace Engineering , Energy Research , Central Florida , Computational Fluid , Computational Fluid Dynamics , Disease Control , National Science , Computer Science , Advanced Turbomachinery , Algorithms Models , Calculations Problem Solving , Environmental Health , Infectious Emerging Diseases , Public Health , Technology Engineering Computer Science , Mechanical Engineering , ஆரோன் வளர்ப்பு , மைக்கேல் கிஞ்சேல் ,

The city formula


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(Vienna, March 17, 2021) When complex systems double in size, many of their parts do not. Characteristically, some aspects will grow by only about 80 percent, others by about 120 percent. The astonishing uniformity of these two growth rates is known as scaling laws. Scaling laws are observed everywhere in the world, from biology to physical systems. They also apply to cities. Yet, while a multitude of examples show their presence, reasons for their emergence are still a matter of debate.
A new publication in the
Journal of The Royal Society Interface now provides a simple explanation for urban scaling laws: Carlos Molinero and Stefan Thurner of the ....

Stefan Thurner , Carlos Molinero , Royal Society Interface , Complexity Science Hub Vienna , Earth Science , Energy Sources , Algorithms Models , Calculations Problem Solving , Systems Chaos Pattern Formation Complexity , Climate Change , அரச சமூகம் இடைமுகம் , சிக்கலானது அறிவியல் மையம் வியன்னா , பூமி அறிவியல் , ஆற்றல் ஆதாரங்கள் , கணக்கீடுகள் ப்ராப்லம் தீர்க்கும் , அமைப்புகள் குழப்பம் முறை உருவாக்கம் சிக்கலானது , காலநிலை மாற்றம் ,