Thermodynamic stability and critical points in multicomponent mixtures with structured interactions [0.03%]
具有结构相互作用的多组分混合物中的热力学稳定性及临界点
Isabella R Graf,Benjamin B Machta
Isabella R Graf
Theoretical work has shed light on the phase behavior of idealized mixtures of many components with random interactions. However, typical mixtures interact through particular physical features, leading to a structured, nonrandom interaction...
Emine Altuntaş,I B Spielman
Emine Altuntaş
Ultracold atoms are an ideal platform for understanding system-reservoir dynamics of many-body systems. Here, we study quantum back-action in atomic Bose-Einstein condensates, weakly interacting with a far-from resonant, i.e., dispersively ...
Controlled roll rotation of a microparticle in a hydro-thermophoretic trap [0.03%]
微粒子的受控转动及其在水热分置陷阱中的行为研究
Gokul Nalupurackal,Kingshuk Panja,Snigdhadev Chakraborty et al.
Gokul Nalupurackal et al.
In recent years, there has been a growing interest in controlling the motion of microparticles inside and outside a focused laser beam. A hydro-thermophoretic trap was recently reported [Nalupurackal et al., Soft Matter 18, 6825 (2022)], wh...
Geometric framework to predict structure from function in neural networks [0.03%]
用于神经网络中从功能预测结构的几何框架
Tirthabir Biswas,James E Fitzgerald
Tirthabir Biswas
Neural computation in biological and artificial networks relies on the nonlinear summation of many inputs. The structural connectivity matrix of synaptic weights between neurons is a critical determinant of overall network function, but qua...
Vudtiwat Ngampruetikorn,Vedant Sachdeva,Johanna Torrence et al.
Vudtiwat Ngampruetikorn et al.
Statistical inference is central to many scientific endeavors, yet how it works remains unresolved. Answering this requires a quantitative understanding of the intrinsic interplay between statistical models, inference methods, and the struc...
Malay Pal,Itzhak Fouxon,Alexander M Leshansky et al.
Malay Pal et al.
Magnetic nano- and microswimmers provide a powerful platform to study driven colloidal systems in fluidic media and are relevant to futuristic medical technologies requiring precise yet minimally invasive motion control at small scales. Upo...
Three-dimensional cancer cell migration directed by dual mechanochemical guidance [0.03%]
由双机械化学信号引导的三维癌细胞迁移
Pedram Esfahani,Herbert Levine,Mrinmoy Mukherjee et al.
Pedram Esfahani et al.
Directed cell migration guided by external cues plays a central role in many physiological and pathophysiological processes. The microenvironment of cells often simultaneously contains various cues and the motility response of cells to mult...
Tractable nonlinear memory functions as a tool to capture and explain dynamical behaviors [0.03%]
可处理的非线性记忆函数作为捕获和解释动力学行为的工具
Edgar Herrera-Delgado,James Briscoe,Peter Sollich
Edgar Herrera-Delgado
Mathematical approaches from dynamical systems theory are used in a range of fields. This includes biology where they are used to describe processes such as protein-protein interaction and gene regulatory networks. As such networks increase...
Memorizing without overfitting: Bias, variance, and interpolation in overparameterized models [0.03%]
兼顾偏差、方差与插值的过参数化模型记忆能力研究
Jason W Rocks,Pankaj Mehta
Jason W Rocks
The bias-variance trade-off is a central concept in supervised learning. In classical statistics, increasing the complexity of a model (e.g., number of parameters) reduces bias but also increases variance. Until recently, it was commonly be...
Self-Bayesian aberration removal via constraints for ultracold atom microscopy [0.03%]
通过约束进行超冷原子显微镜的自贝叶斯畸变消除
Emine Altuntaş,I B Spielman
Emine Altuntaş
High-resolution imaging of ultracold atoms typically requires custom high numerical aperture (NA) optics, as is the case for quantum gas microscopy. These high NA objectives involve many optical elements, each of which contributes to loss a...