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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 ,

3-day meet on nanoscience and nanotechnology begins


2,400 participants expected to take part in over 70 sessions
The sixth international conference on nanoscience and nanotechnology was inaugurated virtually at SRM Institute of Science and Technology, Kattankulathur, on Monday.
The institute’s Department of Physics and Nanotechnology organised the biennial conference in association with Shizuoka University-Japan, National Chiao Tung University (NCTU)-Taiwan, GNS Geological and Nuclear Sciences (GNS) Science-New Zealand, University of Rome Tor Vergata-Italy, RMIT University-Australia, Tata Institute of Fundamental Research (TIFR)-India, Asian Consortium on Computational Materials Science (ACCMS), Indian Physics Association (IPA), Materials Research Society of India (MRSI), Indian Carbon Society (ICS)-India and Springer Nature.
The three-day meet will have 2,400 participants and over 70 sessions with speakers from several countries. ....

New Zealand , Chiao Tung University , Xinzhu Xian , Sandeep Sancheti , Ashutosh Sharma , National Chiao Tung University , University Of Rome Tor Vergata , Materials Research Society Of India , Institute Of Science , Tata Institute Of Fundamental Research , Asian Consortium On Computational Materials Science , Nuclear Sciences , Shizuoka University , Department Of Science , Department Of Physics , Indian Carbon Society , Indian Physics Association , Shizuoka University Japan , Science New Zealand , Rome Tor Vergata Italy , Tata Institute , Fundamental Research , Asian Consortium , Computational Materials Science , Materials Research Society , Chancellor Sandeep Sancheti ,

Merging technologies with color to avoid design failures


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IMAGE: In an example shown with Old Main Penn State s main administration building on the University Park campus the researchers algorithm takes a simple image of the material microstructure.
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Credit: Pranav Milind Khanolkar, Penn State
Various software packages can be used to evaluate products and predict failure; however, these packages are extremely computationally intensive and take a significant amount of time to produce a solution. Quicker solutions mean less accurate results.
To combat this issue, a team of Penn State researchers studied the use of machine learning and image colorization algorithms to ease computational load, maintain accuracy, reduce time and predict strain fields for porous materials. They published their work in the ....

Chris Mccomb , Aaron Abraham , Pranav Milind Khanolkar , Saurabh Basu , University Of Toronto , School Of Engineering Design , Penn State , Computational Materials Science , Engineering Design , Technology Engineering Computer Science , Computer Science , கிறிஸ் ம்க்கொம்ப் , பிரணவ் மிலிண்ட் கானொல்கார் , ச Ura ரப் பாசு , பல்கலைக்கழகம் ஆஃப் டொராண்டோ , பள்ளி ஆஃப் பொறியியல் வடிவமைப்பு , பென் நிலை , கணக்கீட்டு பொருட்கள் அறிவியல் , பொறியியல் வடிவமைப்பு , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் , கணினி அறிவியல் ,