Sara Mahdavi,Yann Sakref,Olivier Rivoire
Sara Mahdavi
Catalysts speed up chemical reactions with no energy input and without being transformed in the process, therefore leaving equilibrium constants unchanged. Some catalysts, however, are much more efficient at accelerating one direction of a ...
Destabilization of water molecules by terahertz electric fields affects sodium ion blockage in the Kv1.2 channel [0.03%]
太赫兹电场通过破坏水分子的稳定性影响Kv1.2通道中的钠离子阻滞作用
Xiaofei Zhao,Wen Ding,Hongguang Wang et al.
Xiaofei Zhao et al.
Potassium channels are essential for various physiological functions, with their high selectivity being a critical foundation. The blockage of sodium ions in potassium channels is a crucial aspect of their selectivity, yet the underlying me...
Ryo Tatsumi,Takahiro Chiba,Takashi Komine et al.
Ryo Tatsumi et al.
We propose a magnetic analogy of the Duffing oscillator-magnetic Duffing oscillator-which is characterized by a double-well magnetic potential of a ferromagnet with a uniaxial magnetic anisotropy. Based on the linear stability analysis of t...
Nonlinear continuum description of the E. coli cell wall under high turgor pressure [0.03%]
高渗透压下大肠杆菌细胞壁的非线性连续体描述
Octavio Albarrán,Renata Garcés,Giacomo Po et al.
Octavio Albarrán et al.
The principal stress-bearing component of bacterial cell walls is the tough, covalently linked peptidoglycan network. This active material maintains the shape and integrity of bacterial cells in the presence of high turgor pressures while c...
Motion of a microswimmer in a lattice of obstacles: Effect of thermal fluctuations [0.03%]
热波动下的微游动器的运动：障碍晶格中的影响
Margam Ramprasad,Shubhadeep Mandal,Pallab Sinha Mahapatra
Margam Ramprasad
Microswimmers are often found in heterogeneous or crowded environments and show interesting transport behaviors like trapping or escaping in the presence of hydrodynamic interactions and thermal fluctuations. Studying such behaviors helps u...
Augmented physics-informed Hamiltonian networks for dynamical systems under external interactions [0.03%]
考虑外部作用的增强型物理知识汉密尔顿网络用于动力系统
Yuting Li,Yong Li,Hongkun Zhang
Yuting Li
Neural networks have emerged as powerful tools across various disciplines, yet their application in deciphering complex physical laws remains underexplored. Addressing this, we introduce augmented physics-informed Hamiltonian networks (A-PI...
Dan Shafir,Alessio Squarcini,Stanislav Burov et al.
Dan Shafir et al.
We consider a tracer particle performing a random walk on a two-dimensional lattice in the presence of immobile hard obstacles. Starting from equilibrium, a constant force pulling on the particle is switched on, driving the system to a new ...
Effective description of Taylor dispersion in strongly corrugated channels [0.03%]
强起伏微通道体系泰勒扩散的有效描述方法研究进展
Arthur Alexandre,Thomas Guérin,David S Dean
Arthur Alexandre
We consider Taylor dispersion in periodic but highly corrugated channels. Exact analytical expressions for the long-time diffusion constant and drift along the channel are derived to next-to-leading order in the limit of a small channel per...
Machine-learning study of phase transitions in Ising, Blume-Capel, and Ising-metamagnet models [0.03%]
Ising、Blume-Capel和伊辛元磁体模型中的相变的机器学习研究
Vasanth Kumar Babu,Rahul Pandit
Vasanth Kumar Babu
We combine machine-learning techniques with Monte Carlo (MC) simulations and finite-size scaling (FSS) to study continuous and first-order phase transitions in Ising, Blume-Capel, and Ising-metamagnet spin models. We go beyond earlier studi...
El Niño and droughts in Southeast Asia: A stochastic-chaotic modeling approach [0.03%]
厄尔尼诺和东南亚的干旱：随机-混沌建模方法
Davide Faranda,Yuzuru Sato,Chenyu Dong et al.
Davide Faranda et al.
The El Niño-Southern Oscillation (ENSO) significantly impacts global weather, with strong El Niño events often linked to prolonged dry conditions in Southeast Asia. While several high-impact El Niño events have coincided with prolonged d...