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Engineers apply physics-informed machine learning to solar cell production

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IMAGE: Despite the recent advances in the power conversion efficiency of organic solar cells, insights into the processing-driven thermo-mechanical stability of bulk heterojunction active layers are helping to advance the field..
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Credit: Department of Mechanical Engineering and Mechanics/Lehigh University
Today, solar energy provides 2% of U.S. power. However, by 2050, renewables are predicted to be the most used energy source (surpassing petroleum and other liquids, natural gas, and coal) and solar will overtake wind as the leading source of renewable power. To reach that point, and to make solar power more affordable, solar technologies still require a number of breakthroughs. One is the ability to more efficiently transform photons of light from the Sun into useable energy. ....

United States , Joydeep Munshi , Ganesh Balasubramanian , Lehigh University , Texas Advanced Computing Center , Department Of Mechanical Engineering , Wei Chen Northwestern University , Mechanics Lehigh University , Mechanical Engineering , Computational Materials Science , Wei Chen , Northwestern University , Teyu Chien , Cuckoo Search Coarse Grained Molecular Dynamics , Chemical Information , Chemistry Physics Materials Sciences , Industrial Engineering Chemistry , Polymer Chemistry , Energy Sources , Algorithms Models , Biomedical Environmental Chemical Engineering , Computer Science , Software Engineering , ஒன்றுபட்டது மாநிலங்களில் , ஜோய்தீப் முன்ஷி , கணேஷ் பாலசுப்ரமணியன் ,

Early warning system for COVID-19 gets faster through wastewater detection and tracing

A new research paper builds on previous research of COVID-19 testing in municipal sewer systems and subsequent tracing the virus back to the source by more accurately modelling a system s treelike network of one-way pipes and manholes, and by speeding up the detection/tracing process through automatic sensors installed in specific manholes, chosen according to an easier-to-use algorithm. ....

Mehdi Nourinejad , Richard Larson , Oded Berman , Ken Mcguffin , University Of Toronto , Massachusetts Institute Of Technology , York University , University Of Toronto Rotman School Management , Rotman School Of Management , Rotman School , Massachusetts Institute , Rotman Insights Hub , Media Relations , Algorithms Models , Medicine Health , Public Health , ரிச்சர்ட் லார்சன் , கேன் ம்க்குப்பின் , பல்கலைக்கழகம் ஆஃப் டொராண்டோ , மாசசூசெட்ஸ் நிறுவனம் ஆஃப் தொழில்நுட்பம் , யார்க் பல்கலைக்கழகம் , பல்கலைக்கழகம் ஆஃப் டொராண்டோ ரோட்மேன் பள்ளி மேலாண்மை , ரோட்மேன் பள்ளி ஆஃப் மேலாண்மை , ரோட்மேன் பள்ளி , மாசசூசெட்ஸ் நிறுவனம் , மீடியா உறவுகள் ,

'Floating' microgrids: Optimizing naval ships' power systems

Supported by two Office of Naval Research grants totaling $900,000, Wenxin Liu, of Lehigh University, will continue research into the advanced control of power systems through algorithmic design and hardware experimentation. He will examine real-time optimal power flow control in power electronic power distribution systems and investigate the coordination of heterogeneous generators within a naval ship s power system. Both projects could lead to improvements in civilian microgrid technology. ....

United States , University Of Missouri , Wenxin Liu , Research Laboratory , National Science Foundation , Lehigh University , Northeastern University , Computer Engineering At New Mexico State University , Department Of Energy , Office Of Naval Research , Pc Rossin College Of Engineering , Department Of Defense Office Naval Research , Klipsch School Of Electrical , Renewable Technology , Computer Engineering At Lehigh University , Power Systems At Florida State University , California Energy Commission , Missouri University Of Science , Naval Research , Computer Engineering , Applied Science , Smart Microgrid , Missouri University , Advanced Power Systems , Florida State , Klipsch School ,

Which way does the solar wind blow?

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IMAGE: (Top panel, from left to right) July 12, 2012 coronal mass ejection seen in STEREO B Cor2, SOHO C2, and STEREO A Cor2 coronagraphs, respectively. (Bottom panel) The same images.
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Credit: Talwinder Singh, Mehmet S. Yalim, Nikolai V. Pogorelov, and Nat Gopalswamy
The surface of the sun churns with energy and frequently ejects masses of highly-magnetized plasma towards Earth. Sometimes these ejections are strong enough to crash through the magnetosphere the natural magnetic shield that protects the Earth damaging satellites or electrical grids. Such space weather events can be catastrophic.
Astronomers have studied the sun s activity for centuries with greater and greater understanding. Today, computers are central to the quest to understand the sun s behavior and its role in space weather events. ....

San Diego , United States , Mangala Sharma , Nikolai Pogorelov , Vadim Roytershteyn Space Science Institute , University Of Alabama , Texas Advanced Computing Center , Space Systems Research Corporation , National Science Foundation , Lawrence Berkeley National Laboratory , Geospace Sciences , Division Of Atmospheric , Marshall Space Flight Centers , Predictive Science Inc , San Diego Supercomputing Center , Promoting Research , Space Weather , Space Science , Program Director , Predictive Science , Space Systems Research , Astrophysical Journal , Michael Gedalin , Ben Gurion University , Vadim Roytershteyn , Space Science Institute ,

Let's talk about the elephant in the data

Credit: Ben Wigler/CSHL, 2021
You would not be surprised to see an elephant in the savanna or a plate in your kitchen. Based on your prior experiences and knowledge, you know that is where elephants and plates are often to be found. If you saw a mysterious object in your kitchen, how would you figure out what it was? You would rely on your expectations or prior knowledge. Should a computer approach the problem in the same way? The answer may surprise you. Cold Spring Harbor Laboratory Professor Partha Mitra described how he views problems like these in a Perspective in ....

Johannes Kepler , Cold Spring Harbor Laboratory Professor Partha Mitra , Spring Harbor Laboratory Professor Partha Mitra , Nature Machine , Mathematics Statistics , Algorithms Models , Technology Engineering Computer Science , Computer Science , Robotry Artificial Intelligence , ஜோஹன்னஸ் கெப்லர் , இயற்கை இயந்திரம் , கணிதம் புள்ளிவிவரங்கள் ,