Real-space imaging of polar and elastic nano-textures in thin films via inversion of diffraction data

Kavli Affiliate: Lena F. Kourkoutis | First 5 Authors: Ziming Shao, Noah Schnitzer, Jacob Ruf, Oleg Y. Gorobtsov, Cheng Dai | Summary: Exploiting the emerging nanoscale periodicities in epitaxial, single-crystal thin films is an exciting direction in quantum materials science: confinement and periodic distortions induce novel properties. The structural motifs of interest are ferroelastic, ferroelectric, […]


Continue.. Real-space imaging of polar and elastic nano-textures in thin films via inversion of diffraction data

Real-space imaging of polar and elastic nano-textures in thin films via inversion of diffraction data

Kavli Affiliate: Lena F. Kourkoutis | First 5 Authors: Ziming Shao, Noah Schnitzer, Jacob Ruf, Oleg Y. Gorobtsov, Cheng Dai | Summary: Exploiting the emerging nanoscale periodicities in epitaxial, single-crystal thin films is an exciting direction in quantum materials science: confinement and periodic distortions induce novel properties. The structural motifs of interest are ferroelastic, ferroelectric, […]


Continue.. Real-space imaging of polar and elastic nano-textures in thin films via inversion of diffraction data

On codimension one partially hyperbolic diffeomorphisms

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, , , , | Summary: We show that every codimension one partially hyperbolic diffeomorphism must support on $mathbb{T}^{n}$. It is locally uniquely integrable and derived from a linear codimension one Anosov diffeomorphism. Moreover, this system is intrinsically ergodic, and the A. Katok’s conjecture about the […]


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A Biophysical Basis for Learning and Transmitting Sensory Predictions

Kavli Affiliate: Larry Abbott, Nathaniel Sawtell | Authors: Salomon Zev Muller, Larry F Abbott and Nathaniel B Sawtell | Summary: Abstract Homeostatic (anti-Hebbian) forms of synaptic are effective at eliminating “prediction errors” that signal the differences between predicted and actual sensory input. However, such mechanisms appear to preclude the possibility of transmitting the resulting predictions […]


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Preservation of prehearing spontaneous activity enables early auditory system development in deaf mice

Kavli Affiliate: Dwight Bergles, Patrick Kanold | Authors: Calvin J Kersbergen, Travis A Babola, Patrick O Kanold and Dwight E Bergles | Summary: ABSTRACT Intrinsically generated neural activity propagates through the developing auditory system to promote maturation and refinement of sound processing circuits prior to hearing onset. This early patterned activity is induced by non-sensory […]


Continue.. Preservation of prehearing spontaneous activity enables early auditory system development in deaf mice

Stochastic thermodynamic bounds on logical circuit operation

Kavli Affiliate: David T. Limmer | First 5 Authors: Phillip Helms, David T. Limmer, , , | Summary: Using a thermodynamically consistent, mesoscopic model for modern complementary metal-oxide-semiconductor transistors, we study an array of logical circuits and explore how their function is constrained by recent thermodynamic uncertainty relations when operating near thermal energies. For a […]


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Gate-tunable heavy fermions in a moiré Kondo lattice

Kavli Affiliate: Jie Shan | First 5 Authors: Wenjin Zhao, Bowen Shen, Zui Tao, Zhongdong Han, Kaifei Kang | Summary: The Kondo lattice, describing a matrix of local magnetic moments coupled via spin-exchange interactions to itinerant conduction electrons, is a prototype of strongly correlated quantum matter. Traditionally, Kondo lattices are realized in intermetallic compounds containing […]


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CodeEditor: Learning to Edit Source Code with Pre-trained Models

Kavli Affiliate: Zhuo Li | First 5 Authors: Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu | Summary: Developers often perform repetitive code editing activities for various reasons (e.g., code refactoring) during software development. Pre-trained code editing models have achieved the state-of-the-art (SOTA) results. Pre-trained models are first pre-trained with pre-training tasks and […]


Continue.. CodeEditor: Learning to Edit Source Code with Pre-trained Models

CodeEditor: Learning to Edit Source Code with Pre-trained Models

Kavli Affiliate: Zhuo Li | First 5 Authors: Jia Allen Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu | Summary: Developers often perform repetitive code editing activities for various reasons (e.g., code refactoring) during software development. Pre-trained code editing models have achieved the state-of-the-art (SOTA) results. Pre-trained models are first pre-trained with pre-training tasks […]


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The BRAIN Initiative Cell Census Data Ecosystem: A User’s Guide

Kavli Affiliate: Michael Miller | Authors: BICCN Data Ecosytem Collaboration, Michael J Hawrylycz, Maryann E Martone, Patrick R Hof, Ed S Lein, Aviv Regev, Giorgio A. A Ascoli, Jan G Bjaalie, Hong-Wei Dong, Satrajit S Ghosh, Jesse Gillis, Ronna Hertzano, David R Haynor, Yongsoo Kim, Yufeng Liu, Jeremy A Miller, Partha P Mitra, Eran Mukamel, […]


Continue.. The BRAIN Initiative Cell Census Data Ecosystem: A User’s Guide