Abstract: Orthogonal Time Frequency Space (OTFS) suffers from high peak-to-average power ratio (PAPR) when the number of Doppler bins is large. To address this issue, a discrete Fourier transform ...
Researchers at China University of Petroleum (East China) present a comprehensive AI-driven strategy that enhances the efficiency and reliability of materials research across semiconductors, ...
Abstract: In this paper, a new waveform called discrete Fourier transform spread orthogonal frequency division multiplexing with chirp modulation (DFT-s-OFDM-CM) is proposed for the next generation of ...
Advancing the frontier of quantum chemistry by combining deep learning with Density Functional Theory (DFT) to unlock unprecedented accuracy and scalability in electronic structure simulations.
Design for test is now an essential part of all advanced-node designs, but DFT dynamics are changing with the move to multi-die assemblies. More components, including chiplets, make it imperative to ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. X-ray photoelectron spectroscopy (XPS) is a powerful tool for probing the electronic ...
The new projects aim to improve rail services and infrastructure through collaboration with Network Rail and train operators. Credit: Shutterstock The UK Department for Transport (DfT) has announced a ...
Supervised Fine-Tuning (SFT) is a standard technique for adapting LLMs to new tasks by training them on expert demonstration datasets. It is valued for its simplicity and ability to develop ...
We are grateful for the many thoughtful comments and feedback from the community regarding DFT, ranging from discussions of related ideas to reports of its application in different scenarios. We have ...
The Department for Transport is talking to three operators about a potential joint order for new trains. DfT Director General for Rail Services, Alex Hynes, told the Transport Select Committee the ...
Density Functional Theory (DFT) is the workhorse method in chemistry and physics for predicting the formation and properties of molecules and materials. Among many other applications, it plays a ...
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