An international team of scientists has used machine learning to help them develop perovskite solar cells with near-record efficiency. In their paper...
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Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited data. This can aid in the discovery of materials with desired properties, such as semiconductors.
An international team of scientists has used machine learning to help them develop perovskite solar cells with near-record efficiency. In their paper...
An international team of scientists has used machine learning to help them develop perovskite solar cells with near-record efficiency. In their paper...
Srinivasa Ramanujan was born on 22 December 1887 in Erode, a small town in Tamil Nadu, India, into a Tamil Brahmin Iyengar family. His father,...
Dr. Chi-Young Jung's research team from the Hydrogen Research & Demonstration Center at the Korea Institute of Energy Research (KIER) has successfully...
Bio-inspired wind sensing using strain sensors on flexible wings could revolutionize robotic flight control strategy. Researchers at the Institute of...
Researchers from Qingdao University and the Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT) of the Chinese Academy of Sciences have...
Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training...
IISc excels in University and Research rankings, with undergraduates largely opting for further studies. In contrast, postgraduate students prefer...
Indian shares expected to open slightly higher on Friday, with analysts predicting limited movement due to a lack of major triggers
Indian shares expected to open slightly higher on Friday, with analysts predicting limited movement due to a lack of major triggers