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Nonsymmorphic crystalline symmetries provide a robust route to symmetry-protected electronic topology, yet their role in stabilizing intrinsic topological superconductivity remains largely unexplored. Here, we report \ch{TaPtSi} as a new…

Optically active solid-state spin registers have demonstrated their unique potential in quantum computing, communication and sensing. Realizing scalability and increasing application complexity requires entangling multiple individual…

We prove for an infinite array of globally coupled overdamped anharmonic oscillators subject to additive Gaussian white noise the existence of a well-behaved critical manifold in the parameter space which separates a symmetric phase from a…

Statistical Mechanics · Physics 2013-08-14 Rüdiger Kürsten , Susanne Gütter , Ulrich Behn

Sequential and terminal constraint feasibility of the model predictive control (MPC) play important roles in ensuring MPC control continuity. This study thus investigates these two properties theoretically using an MPC model for vehicle…

Optimization and Control · Mathematics 2022-06-24 Hanyu Zhang , Lili Du

Among the potential spin qubit candidates, yttrium phthalocyanine double-decker (YPc$_2$) features a diamagnetic metal ion core that stabilizes the molecular structure, while its magnetic properties arise primarily from an unpaired electron…

The physical-chemical property of molecular collision cross section (CCS) is increasingly used to assist in small molecule identification; however, questions remain regarding the extent of its true utility in contributing to such…

Quantitative Methods · Quantitative Biology 2021-11-08 Jamie Nunez , Eva Brayfindley , Sean M. Colby , Monee McGrady , Kristin H. Jarman , Ryan S. Renslow , Thomas O. Metz

Machine Learning-assisted directed evolution (MLDE) is a powerful tool for efficiently navigating antibody fitness landscapes. Many structure-aware MLDE pipelines rely on a single conformation or a single committee across all conformations,…

Machine Learning · Computer Science 2025-12-03 Mia Adler , Carrie Liang , Brian Peng , Oleg Presnyakov , Justin M. Baker , Jannelle Lauffer , Himani Sharma , Barry Merriman

It is possible that there are post-translational circadian oscillators that continue functioning in the absence of negative feedback transcriptional repression in many cell types from diverse organisms. Apart from the KaiABC system from…

Molecular Networks · Quantitative Biology 2020-02-24 Mark Byrne

Structural Maintenance Complexes (SMC) are energy consuming motors that are important in folding the genome by loop extrusion (LE) in all stages of the cell cycle. Single molecule magnetic tweezer pulling experiments have revealed that…

Soft Condensed Matter · Physics 2026-05-07 Atreya Dey , Guang Shi , Ryota Takaki , D. Thirumalai

Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the function of Dendritic Cells (DCs). DCs are antigen presenting…

Artificial Intelligence · Computer Science 2010-07-05 Julie Greensmith , Uwe Aickelin

Minimum Attention Control (MAC) is a control technique that provides minimal input changes to meet the control objective. Mathematically, the zero norm of the input changes is used as a constraint for the given control objective and…

Systems and Control · Electrical Eng. & Systems 2025-07-31 Ganesh Teja Theertham , Santhosh Kumar Varanasi , Phanindra Jampana

This letter proposes a novel method for accelerating iterative detection for spatially coupled (SC) systems. An SC system is constructed by one-dimensional coupling of many subsystems, which are classified into training and propagation…

Information Theory · Computer Science 2016-11-18 Keigo Takeuchi

The paper introduces Supervised Embedding and Clustering Anomaly Detection (SEMC-AD), a method designed to efficiently identify faulty alarm logs in a mobile network and alleviate the challenges of manual monitoring caused by the growing…

Machine Learning · Computer Science 2023-10-11 R. Mosayebi , H. Kia , A. Kianpour Raki

Autonomous circadian clocks drive daily rhythms in physiology and behaviour. A network of coupled neurons, the suprachiasmatic nucleus (SCN), serves as a robust self-sustained circadian pacemaker. Synchronization of this timer to the…

Adaptation and Self-Organizing Systems · Physics 2015-05-28 G. Bordyugov , A. E. Granada , H. Herzel

This study examines the integration of Contrastive Predictive Coding (CPC) with Spiking Neural Networks (SNN). While CPC learns the predictive structure of data to generate meaningful representations, SNN mimics the computational processes…

Signal Processing · Electrical Eng. & Systems 2025-06-12 Emirhan Bilgiç , Neslihan Serap Şengör , Namık Berk Yalabık , Yavuz Selim İşler , Aykut Görkem Gelen , Rahmi Elibol

Molecular dynamics (MD) simulations are useful in obtaining thermodynamic and kinetic properties of bio-molecules but are limited by the timescale barrier, i.e., we may be unable to efficiently obtain properties because we need to run…

Chemical Physics · Physics 2017-08-23 Surl-Hee Ahn , Jay W. Grate , Eric F. Darve

Spin-orbit coupling (SOC) is at the heart of many exotic band-structures and can give rise to many-body states with topological order. Here we present a general scheme based on a combination of microwave driving and lattice shaking for the…

Quantum Gases · Physics 2017-06-28 Fabian Grusdt , Tracy Li , Immanuel Bloch , Eugene Demler

We present a DFT-based investigation of the twist-angle dependent proximity spin-orbit coupling (SOC) in graphene/TMDC structures. We find that for Mo-based TMDCs the proximity valley-Zeeman SOC exhibits a maximum at around 15--20{\deg},…

Mesoscale and Nanoscale Physics · Physics 2024-01-09 Klaus Zollner , Simão M. João , Branislav K. Nikolić , Jaroslav Fabian

Self-organized criticality (SOC) reveals a mechanism by which a system is autonomously evolved to be in a critical state without needing parameter tuning. Whereas various biological systems are found to be in critical states and the…

Cellular Automata and Lattice Gases · Physics 2013-06-20 Yukio-Pegio Gunji

Protein structural ensembles from NMR spectroscopy capture biologically important conformational heterogeneity, but it remains difficult to determine whether observed variation reflects coordinated motion or noise-like artifacts. We…

Quantitative Methods · Quantitative Biology 2026-03-30 Yuda Bi , Huaiwen Zhang , Jingnan Sun , Vince D Calhoun
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