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Recent progress on both analog and digital simulations of quantum fields foreshadows a future in which quantum computers ...
Knot theory is a branch of topology that has surprisingly practical applications, such as understanding how proteins coil DNA and how molecular structures remain stable. The theory’s central question: ...
A simple physical model based on electronic interactions between excited configurations enables the quick and reliable prediction of singlet–triplet energy gaps in polycyclic heteroaromatic emitters.
Tipping points in our climate predictions are both wildly dramatic and wildly uncertain. Can mathematicians make them useful?
To determine how listeners learn the statistical properties of acoustic spaces, we assessed their ability to perceive speech in a range of noisy and reverberant rooms. Listeners were also exposed to ...
Building on two centuries' experience, Taylor & Francis has grown rapidly over the last two decades to become a leading international academic publisher. The Group publishes over 800 journals and over ...
Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.
The Bursar’s Office is your one-stop shop for finding information on student tuition, viewing invoices, making payments and ensuring timely refunds. You can find valuable information regarding tuition ...
Abstract: Based on the construction of the human body key point recognition model and the study of Chinese medicine meridian and acupuncture point theory, the detection framework for human body ...
Molecular polaritons are hybrid light-matter states that enable the exploration of potential cavity-modified chemistry. The development of dynamical, first-principles approaches for simulating ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Official PyTorch implementation of "PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation". This work has been accepted to CVPR 2024. Abstract: Existing point cloud ...
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