Explanipedia

The DESI DR1 Peculiar Velocity Survey: Growth Rate Measurements from the Galaxy Power Spectrum Open

Cullan Howlett, Ying−Cheng Lai, José Aguilar, S. P. Ahlen, K. Douglass , et al. · 2025

The large-scale structure of the Universe and its evolution encapsulate a wealth of cosmological information. A powerful means of unlocking this knowledge lies in measuring the auto-power spectrum and/or the cross-power spectrum of the gal…

Disorder-mediated synchronization resonance in coupled semiconductor lasers Open

Li-Li Ye, Nathan Vigne, Fan-Yi Lin, Hui Cao, Ying‐Cheng Lai · 2025

The interplay between disorder and synchronization in nonlinear oscillator networks has long been known to give rise to counterintuitive phenomena, such as disorder-enhanced coherence. We uncover a frequency-disorder mediated synchronizati…

DESI 2024 V: Full-Shape galaxy clustering from galaxies and quasars Open

A. G. Adame, J. Aguilar, S. P. Ahlen, Shadab Alam, D. M. Alexander , et al. · 2025

We present the measurements and cosmological implications of the galaxy two-point clustering using over 4.7 million unique galaxy and quasar redshifts in the range 0.1 < z < 2.1 divided into six redshift bins over a ∼ 7,500 square degree f…

Bridging known and unknown dynamics by transformer-based machine-learning inference from sparse observations Open

Zheng-Meng Zhai, Benjamin D. Stern, Ying‐Cheng Lai · 2025

Unconventional tipping and wrinkled hysteresis loop in nonsmooth biophysical systems Open

Yoseb Kang, Sangil Kim, Ying‐Cheng Lai, Younghae Do · 2025

Data-driven discovery of spatiotemporal dynamical systems with sparse interpretable neural networks Open

Siyuan Xing, Qing‐Long Han, E. G. Charalampidis, Ying‐Cheng Lai · 2025

Existing approaches to data-driven model discovery of nonlinear dynamical systems are mainly sparse optimization, symbolic regression, and Kolmogorov-Arnold networks, but they all suffer from the “curse of dimensionality”, i.e., the number…

DESI 2024 II: sample definitions, characteristics, and two-point clustering statistics Open

A. G. Adame, José Aguilar, S. P. Ahlen, Shadab Alam, D. M. Alexander , et al. · 2025

We present the samples of galaxies and quasars used for DESI 2024 cosmological analyses, drawn from the DESI Data Release 1 (DR1). We describe the construction of large-scale structure (LSS) catalogs from these samples, which include match…

Reordered hierarchical complexity in ecosystems with delayed interactions Open

Bo-Wei Qin, Wenbo Sheng, X. L. Qian, Jürgen Kurths, Alan Hastings , et al. · 2025

It was once believed that large ecosystems with random interactions are unstable, limiting their complexity. Thus, large community size or numerous interactions are rare in nature. Later, a strict hierarchical complexity was revealed: comp…

Author response: Dynamical mechanisms of growth-feedback effects on adaptive gene circuits Open

Ling-Wei Kong, Wenjia Shi, Xiao‐Jun Tian, Ying‐Cheng Lai · 2025

Inflammation dynamics of atopic dermatitis: Phase transition and scaling law of remission time Open

Yoseb Kang, Jaewoo Hwang, Yong Hyun Jang, Ying‐Cheng Lai, Younghae Do · 2025

Atopic dermatitis (AD) is a prevalent skin disorder affecting individuals globally, with many patients experiencing a range of symptoms. A pronounced clinical phenomenon associated with AD is the cyclic alternation of two distinct phases i…

Dynamical mechanisms of growth-feedback effects on adaptive gene circuits Open

Ling-Wei Kong, Wenjia Shi, Xiao‐Jun Tian, Ying‐Cheng Lai · 2025

The successful integration of engineered gene circuits into host cells remains a significant challenge in synthetic biology due to circuit–host interactions, such as growth feedback, where the circuit influences cell growth and vice versa.…

Optimizing disorder with machine learning to harness synchronization Open

Jianzhe Huang, Zheng-Meng Zhai, Vassilios Kovanis, Ying‐Cheng Lai · 2025

Disorder is often considered detrimental to coherence. However, under specific conditions, it can enhance synchronization. We develop a machine-learning framework to design optimal disorder configurations that maximize phase synchronizatio…

SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning Open

Jun Feng, Ying‐Cheng Lai, Hong Sun, Bocheng Ren · 2025

Backdoor attacks in federated learning (FL) face challenges such as lower attack success rates and compromised main task accuracy (MA) compared to local training. Existing methods like distributed backdoor attack (DBA) mitigate these issue…

Data-driven model discovery with Kolmogorov-Arnold networks Open

Shirin Panahi, Mohammadamin Moradi, Erik M. Bollt, Ying‐Cheng Lai · 2025

Data-driven model discovery of complex dynamical systems can be done using sparse optimization, but it has a fundamental limitation: sparsity in that the underlying governing equations of the system contain only a small number of elementar…

DESI 2024 III: baryon acoustic oscillations from galaxies and quasars Open

A. G. Adame, J. Aguilar, S. P. Ahlen, Shadab Alam, D. M. Alexander , et al. · 2025

We present the DESI 2024 galaxy and quasar baryon acoustic oscillations (BAO) measurements using over 5.7 million unique galaxy and quasar redshifts in the range 0.1 < z < 2.1. Divided by tracer type, we utilize 300,017 galaxies from the m…

Controlling nonergodicity in quantum many-body systems by reinforcement learning Open

Lili Ye, Ying‐Cheng Lai · 2025

Finding optimal control strategies to suppress quantum thermalization for arbitrarily initial states, the so-called quantum nonergodicity control, is important for quantum information science and technologies. Previous control methods reli…

Special relativity effects on chaos and periodic orbits - a semianalytic approach Open

Jun-Yin Huang, Hong-Ya Xu, Liang Huang, Ying‐Cheng Lai · 2025

In the study of nonlinear dynamics and chaos, analytically solvable physical models are rare. We investigate the classical motion of a trapped relativistic particle, subject to an electric and a magnetic field. When the directions of the e…

An ideally designed deep trust network model for heart disease prediction based on seagull optimization and Ruzzo Tompa algorithm Open

Jinliang Yuan, Ying‐Cheng Lai, Azadeh Noori Hoshyar, Nisreen Innab, Meshal Shutaywi , et al. · 2025

Detecting Attacks and Estimating States of Power Grids from Partial Observations with Machine Learning Open

Zheng-Meng Zhai, Mohammadamin Moradi, Ying‐Cheng Lai · 2025

The ever-increasing complexity of modern power grids makes them vulnerable to cyber and/or physical attacks. To protect them, accurate attack detection is essential. A challenging scenario is that a localized attack has occurred on a speci…

Bridging Known and Unknown Dynamics: Machine Learning Inference From Sparse Observations Open

Ying‐Cheng Lai, Zheng-Meng Zhai, Jianzhe Huang, Benjamin D. Stern · 2025

In applications, an anticipated issue is where the system of interest has never been encountered before and sparse observations can be made only once. Can the dynamics be faithfully reconstructed? We address this challenge by developing a …

DESI 2024 VI: cosmological constraints from the measurements of baryon acoustic oscillations Open

A. G. Adame, José Edgar Madriz Aguilar, S. Ahlen, Shadab Alam, D. M. Alexander , et al. · 2025

We present cosmological results from the measurement of baryon acoustic oscillations (BAO) in galaxy, quasar and Lyman- α forest tracers from the first year of observations from the Dark Energy Spectroscopic Instrument (DESI), to be releas…

Author response: Effects of growth feedback on adaptive gene circuits: A dynamical understanding Open

Ling-Wei Kong, Wenjia Shi, Xiao‐Jun Tian, Ying‐Cheng Lai · 2025

Effects of growth feedback on adaptive gene circuits: A dynamical understanding Open

Ling-Wei Kong, Wenjia Shi, Xiao‐Jun Tian, Ying‐Cheng Lai · 2025

The successful integration of engineered gene circuits into host cells remains a significant challenge in synthetic biology due to circuit-host interactions, such as growth feedback, where the circuit influences cell growth and vice versa.…

Entanglement engineering of optomechanical systems by reinforcement learning Open

Lili Ye, Christian Arenz, Joseph M. Lukens, Ying‐Cheng Lai · 2025

Entanglement is fundamental to quantum information science and technology, yet controlling and manipulating entanglement—so-called entanglement engineering—for arbitrary quantum systems remains a formidable challenge. There are two difficu…

Unsupervised learning for anticipating critical transitions Open

Shirin Panahi, Ling-Wei Kong, Bryan Glaz, Mulugeta Haile, Ying‐Cheng Lai · 2025

For anticipating critical transitions in complex dynamical systems, the recent approach of parameter-driven reservoir computing requires explicit knowledge of the bifurcation parameter. We articulate a framework combining a variational aut…

An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond Open

M Maus, S. Chen, Martin White, José Aguilar, S. P. Ahlen , et al. · 2025

In anticipation of forthcoming data releases of current and future spectroscopic surveys, we present the validation tests and analysis of systematic effects within velocileptors modeling pipeline when fitting mock data from the AbacusSummi…

DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman alpha forest Open

A. G. Adame, J. Aguilar, S. P. Ahlen, Shadab Alam, D. M. Alexander , et al. · 2025

We present the measurement of Baryon Acoustic Oscillations (BAO) from the Lyman- α (Ly α ) forest of high-redshift quasars with the first-year dataset of the Dark Energy Spectroscopic Instrument (DESI). Our analysis uses over 420 000 Ly α …

Full Modeling and parameter compression methods in configuration space for DESI 2024 and beyond Open

S. Ramírez-Solano, Miguel Icaza-Lizaola, H. E. Noriega, M. Vargas-Magaña, S. Fromenteau , et al. · 2025

In the contemporary era of high-precision spectroscopic surveys, led by projects like DESI, there is an increasing demand for optimizing the extraction of cosmological information from clustering data. This work conducts a thorough compari…

Machine learning prediction of tipping in complex dynamical systems Open

Shirin Panahi, Ling-Wei Kong, Mohammadamin Moradi, Zheng-Meng Zhai, Bryan Glaz , et al. · 2024

Anticipating a tipping point, a transition from one stable steady state to another, is a problem of broad relevance due to the ubiquity of the phenomenon in diverse fields. The steady-state nature of the dynamics about a tipping point make…

DESI 2024 V: Full-Shape Galaxy Clustering from Galaxies and Quasars Open

A. G. Adame, J. Aguilar, S. Ahlen, Shadab Alam, D. M. Alexander , et al. · 2024

We present the measurements and cosmological implications of the galaxy two-point clustering using over 4.7 million unique galaxy and quasar redshifts in the range $0.1

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