February 7, 2024 – Kavli Institute Pre-Print Publications

The AGORA High-resolution Galaxy Simulations Comparison Project. VI. Similarities and Differences in the Circumgalactic Medium

Posted by klaurent February 7, 2024Stanford

Kavli Affiliate: Tom Abel | First 5 Authors: Clayton Strawn, Santi Roca-Fàbrega, Joel R. Primack, Ji-hoon Kim, Anna Genina | Summary: We analyze the circumgalactic medium (CGM) for eight commonly-used cosmological codes in the AGORA collaboration. The codes are calibrated to use identical initial conditions, cosmology, heating and cooling, and star formation thresholds, but each […]

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On the evolution of the observed Mass-to-Length relationship for star-forming filaments

Posted by dbos February 7, 2024February 20, 2024Stanford

Kavli Affiliate: Susan E. Clark | First 5 Authors: Jiancheng Feng, Rowan J. Smith, Alvaro Hacar, Susan E. Clark, Daniel Seifried | Summary: The interstellar medium is threaded by a hierarchy of filaments from large scales (~ 100 pc) to small scales (~ 0.1pc). The masses and lengths of these nested structures may reveal important […]

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Opening the AI black box: program synthesis via mechanistic interpretability

Posted by klaurent February 7, 2024MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Eric J. Michaud, Isaac Liao, Vedang Lad, Ziming Liu, Anish Mudide | Summary: We present MIPS, a novel method for program synthesis based on automated mechanistic interpretability of neural networks trained to perform the desired task, auto-distilling the learned algorithm into Python code. We test MIPS on […]

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A Resource Model For Neural Scaling Law

Posted by dbos February 7, 2024MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Jinyeop Song, Ziming Liu, Max Tegmark, Jeff Gore, | Summary: Neural scaling laws characterize how model performance improves as the model size scales up. Inspired by empirical observations, we introduce a resource model of neural scaling. A task is usually composite hence can be decomposed into many […]

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Millimeter-scale freestanding superconducting infinite-layer nickelate membranes

Posted by dbos February 7, 2024Cornell

Kavli Affiliate: David A. Muller | First 5 Authors: Yonghun Lee, Xin Wei, Yijun Yu, Lopa Bhatt, Kyuho Lee | Summary: Progress in the study of infinite-layer nickelates has always been highly linked to materials advances. In particular, the recent development of superconductivity via hole-doping was predicated on the controlled synthesis of Ni in a […]

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Ultra-Short Pulse Biphoton Source in Lithium Niobate Nanophotonics at 2$textμ$m

Posted by Caltech

Kavli Affiliate: Alireza Marandi | First 5 Authors: James Williams, Rajveer Nehra, Elina Sendonaris, Luis Ledezma, Robert M. Gray | Summary: Photonics offers unique capabilities for quantum information processing (QIP) such as room-temperature operation, the scalability of nanophotonics, and access to ultrabroad bandwidths and consequently ultrafast operation. Ultrashort-pulse sources of quantum states in nanophotonics are […]

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Ultra-Short Pulse Biphoton Source in Lithium Niobate Nanophotonics at 2 textmu m

Posted by dbos February 7, 2024February 20, 2024Caltech

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A Novel Paradigm in Solving Multiscale Problems

Posted by dbos February 7, 2024Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively simulating multiscale dynamics in complex systems. In this paper, a novel decoupling solving paradigm is proposed through modelling large-scale dynamics […]

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Insights into Multiscale Complexity: from Macroscopic Patterns to Microscopic Simulations via Deep Learning

Posted by dbos February 7, 2024Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively simulating multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]

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Multiscale Modelling with Physics-informed Neural Network: from Large-scale Dynamics to Small-scale Predictions in Complex Systems

Posted by dbos February 7, 2024February 20, 2024Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively predicting multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]

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