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In this paper we outline a physically motivated framework for describing spin-selective recombination processes in chiral systems, from which we derive spin-selective reaction operators for recombination reactions of donor-bridge-acceptor…

Chemical Physics · Physics 2023-03-09 Thomas P. Fay , David T. Limmer

Ionic Coulomb blockade (ICB) is an electrostatic phenomenon recently discovered in low-capacitance ion channels/nanopores. Depending on the fixed charge that is present, ICB strongly and selectively influences the ease with which a given…

Biological Physics · Physics 2017-07-31 I. Kh. Kaufman , W. A. T. Gibby , D. G. Luchinsky , P. V. E. McClintock

Over the last two decades, the Latent Position Model (LPM) has become a prominent tool to obtain model-based visualizations of networks. However, the geometric structure of the LPM is inherently symmetric, in the sense that outgoing and…

Methodology · Statistics 2026-02-02 Chaoyi Lu , Riccardo Rastelli

Understanding complex systems by inferring trajectories from sparse sample snapshots is a fundamental challenge in a wide range of domains, e.g., single-cell biology, meteorology, and economics. Despite advancements in Bridge and Flow…

Many tasks in robot-assisted surgery require planning and controlling manipulators' motions that interact with highly deformable objects. This study proposes a realistic, time-bounded simulator based on Position-based Dynamics (PBD)…

We discuss superconducting pairing in a narrow conduction band sandwiched between unoccupied and occupied bands, an arrangement that enables an unconventional pairing mechanism governed by Coulomb repulsion. Pairing interaction originates…

Superconductivity · Physics 2021-03-30 Zhiyu Dong , Leonid Levitov

Localized persistent cortical neural activity is a validated neural substrate of parametric working memory. Such activity `bumps' represent the continuous location of a cue over several seconds. Pyramidal (excitatory) and interneuronal…

Neurons and Cognition · Quantitative Biology 2022-03-07 Heather L Cihak , Tahra L Eissa , Zachary P Kilpatrick

Computer modeling can provide quantitative insight into cardiac fluid dynamics phenomena that are not evident from standard imaging tools. We propose a new approach to modeling left ventricle fluid dynamics based on an image-driven…

Active solids, more specifically elastic lattices embedded with polar active units, exhibit collective actuation when the elasto-active feedback, generically present in such systems, exceeds some critical value. The dynamics then…

Soft Condensed Matter · Physics 2025-11-21 Davi Lazzari , Olivier Dauchot , Carolina Brito

The active Brownian particle (ABP) model is widely used to describe the dynamics of active matter systems, such as Janus microswimmers. In particular, the analytical expression for an ABP's mean-squared-displacement (MSD) is useful as it…

Soft Condensed Matter · Physics 2022-12-07 Maximilian Bailey , Alexander Sprenger , Fabio Grillo , Hartmut Löwen , Lucio Isa

We investigate the ground-state probabilistic logic based on a binary energy landscape (GSPL-BEL) model, implementing the many-body interactions within Ising model cells. The GSPL-BEL model offers a simplified binary energy landscape,…

Applied Physics · Physics 2023-11-02 Yihan He , Sheng Luo , Chao Fang , Gengchiau Liang

This study explores the dynamics of asymmetrical bounding gaits in quadrupedal robots, focusing on the integration of torso pitching and hip motion to enhance speed and stability. Traditional control strategies often enforce a fixed…

Robotics · Computer Science 2025-09-01 Jing Cheng , Yasser G. Alqaham , Zhenyu Gan

Short-term plasticity (STP) is fundamental to temporal information processing in biological neural systems but remains difficult to realize efficiently in neuromorphic hardware. Memristive electrochemical random-access memory (ECRAM)…

Neural and Evolutionary Computing · Computer Science 2026-05-13 Alex Currie , Sean Borkholder , Nithil Harris Manimaran , Huayuan Han , Cory Merkel , Ke Xu , Tejasvi Das

Recent development in brain-machine interface technology has made seizure prediction possible. However, the communication of large volume of electrophysiological signals between sensors and processing apparatus and related computation…

Machine Learning · Computer Science 2022-05-30 Di Wu , Yi Shi , Ziyu Wang , Jie Yang , Mohamad Sawan

Although multilayer systems possess global inversion symmetry, some of the layers lack local inversion symmetry because no global inversion centers are present on such layers. Such locally non-centrosymmetric systems exhibit spatially…

Superconductivity · Physics 2015-03-19 Daisuke Maruyama , Manfred Sigrist , Youichi Yanase

Shared Control methods often use impedance control to track target poses in a robotic manipulator. The guidance behavior of such controllers is shaped by the used stiffness gains, which can be varying over time to achieve an adaptive…

Many-body localized (MBL) systems are often described using their local integrals of motion, which, for spin systems, are commonly assumed to be a local unitary transform of the set of on-site spin-z operators. We show that this assumption…

Disordered Systems and Neural Networks · Physics 2020-07-27 Thorsten B. Wahl , Benjamin Béri

We present a systematic first-principles study of substitutional 3d transition-metal (TM) defects in CsPbI3 using the spin-polarized GGA+U framework. TM incorporation is generally energetically favorable and induces lattice distortions that…

Materials Science · Physics 2025-12-18 Misbah Shaheen , Sheharyar Pervez

There is a huge problem and time-consuming computation to optimize the IMRT treatment plan. Extracting the optimized plan from the predicted 3D3 so-called optimizing the KBP is also involved in this challenge. Some algorithms and methods…

Medical Physics · Physics 2023-06-28 Ali Yousefi , Saeedeh Ketabi , Iraj Abedi

Robotic systems operating in unstructured environments require the ability to switch between compliant and rigid states to perform diverse tasks such as adaptive grasping, high-force manipulation, shape holding, and navigation in…

Robotics · Computer Science 2025-09-10 Jianshu Zhou , Wei Chen , Junda Huang , Boyuan Liang , Yunhui Liu , Masayoshi Tomizuka
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