Neural Downscaling for Complex Systems: from Large-scale to Small-scale by Neural Operator

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Pengyu Lai, Jing Wang, Rui Wang, Dewu Yang, Haoqi Fei | Summary: Predicting and understanding the chaotic dynamics in complex systems is essential in various applications. However, conventional approaches, whether full-scale simulations or small-scale omissions, fail to offer a comprehensive solution. This instigates exploration into whether modeling […]


Continue.. Neural Downscaling for Complex Systems: from Large-scale to Small-scale by Neural Operator

Antiferromagnetic Ground State, Charge Density Waves and Oxygen Vacancies Induced Metal-Insulator Transition in Pressurized La$_{3}$Ni$_{2}$O$_{7}$

Posted by dbos UCAS

Kavli Affiliate: Gang Su | First 5 Authors: Xin-Wei Yi, Ying Meng, Jia-Wen Li, Zheng-Wei Liao, Jing-Yang You | Summary: La$_{3}$Ni$_{2}$O$_{7}$ has garnered widespread interest recently due to its high-temperature superconductivity under pressure, accompanied by charge density wave (CDW) ordering and metal-insulator (MI) transitions in the phase diagram. Here, we reveal with comprehensive calculations that […]


Continue.. Antiferromagnetic Ground State, Charge Density Waves and Oxygen Vacancies Induced Metal-Insulator Transition in Pressurized La$_{3}$Ni$_{2}$O$_{7}$

Representing the dynamics of natural marmoset vocal behaviors in frontal cortex

Posted by dbos UCSD / Salk

Kavli Affiliate: Cory Miller | Authors: Jingwen Li, Mikio Christian Aoi and Cory Miller | Summary: Here we tested the respective contributions of primate premotor and prefrontal cortex to support vocal behavior. We applied a model-based GLM analysis that better accounts for the inherent variance in natural, continuous behaviors to characterize the activity of neurons […]


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Social state gates vision using three circuit mechanisms in Drosophila

Posted by dbos Rockefeller

Kavli Affiliate: Vanessa Ruta | Authors: Catherine E. Schretter, Tom Hindmarsh Sten, Nathan Klapoetke, Mei Shao, Aljoscha Nern, Marisa Dreher, Daniel Bushey, Alice A. Robie, Adam L. Taylor, Kristin M. Branson, Adriane Otopalik, Vanessa Ruta and Gerald M. Rubin | Summary: Animals are often bombarded with visual information and must prioritize specific visual features based […]


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Tell machine learning potentials what they are needed for: Simulation-oriented training exemplified for glycine

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Fuchun Ge, Ran Wang, Chen Qu, Peikun Zheng, Apurba Nandi | Summary: Machine learning potentials (MLPs) are widely applied as an efficient alternative way to represent potential energy surfaces (PES) in many chemical simulations. The MLPs are often evaluated with the root-mean-square errors on the test set […]


Continue.. Tell machine learning potentials what they are needed for: Simulation-oriented training exemplified for glycine

Tell machine learning potentials what they are needed for: Simulation-oriented training exemplified for glycine

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Fuchun Ge, Ran Wang, Chen Qu, Peikun Zheng, Apurba Nandi | Summary: Machine learning potentials (MLPs) are widely applied as an efficient alternative way to represent potential energy surface (PES) in many chemical simulations, e.g., geometry optimizations, frequency calculations, molecular dynamics, and Monte Carlo computations. However, there […]


Continue.. Tell machine learning potentials what they are needed for: Simulation-oriented training exemplified for glycine

Electrically controlled nonvolatile switching of single-atom magnetism in a Dy@C84 single-molecule transistor

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Wangqiang Shen, Yuan Shui, Jun Chen, Huaiqiang Wang | Summary: Single-atom magnetism switching is a key technique towards the ultimate data storage density of computer hard disks and has been conceptually realized by leveraging the spin bistability of a magnetic atom under a scanning tunnelling […]


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Subvolume method for SU(2) Yang-Mills theory at finite temperature: topological charge distributions

Posted by dbos Tokyo

Kavli Affiliate: Masahito Yamazaki | First 5 Authors: Norikazu Yamada, Masahito Yamazaki, Ryuichiro Kitano, , | Summary: We apply the previously-developed sub-volume method to study the $theta$-dependence of the four-dimensional SU(2) Yang-Mills theory at finite temperature. We calculate the first two coefficients, the topological susceptibility $chi$ and the fourth cumulant $b_2$, in the $theta$-expansion of […]


Continue.. Subvolume method for SU(2) Yang-Mills theory at finite temperature: topological charge distributions

Subvolume method for SU(2) Yang-Mills theory at finite temperature: topological charge distributions

Posted by dbos Tokyo

Kavli Affiliate: Masahito Yamazaki | First 5 Authors: Norikazu Yamada, Masahito Yamazaki, Ryuichiro Kitano, , | Summary: We apply the previously-developed sub-volume method to study the $theta$-dependence of the four-dimensional SU(2) Yang-Mills theory. We calculate the first two coefficients, the topological susceptibility $chi$ and the fourth cumulant $b_2$, in the $theta$-expansion of the free energy […]


Continue.. Subvolume method for SU(2) Yang-Mills theory at finite temperature: topological charge distributions

Sparse-Coding Variational Auto-Encoders

Posted by dbos Hopkins

Kavli Affiliate: Adam S. Charles | Authors: Victor Geadah, G. Barello, Adam Charles and Jonathan Pillow | Summary: The sparse coding model posits that the visual system has evolved to efficiently code natural stimuli using a sparse set of features from an overcomplete dictionary. The original sparse coding model suffered from two key limitations, however: […]


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