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Author(s): Daniel L. Vigil, Ting Ge, Michael Rubinstein, Thomas C. O’Connor, and Gary S. Grest Polymers are an effective test bed for studying topological constraints in condensed matter due to a wide array of synthetically available chain topologies. When linear and ring polymers are blended together, emergent rheological properties are observed as the blend can be more viscous than either o… [Phys. Rev. Lett. 133, 118101] Published Tue Sep...

Author(s): Feipeng Chen, Wei Guo, and Ho Cheung Shum The phenomenon of droplet growth occurs in various industrial and natural processes. Recently, the discovery of liquidlike condensates within cells has sparked an increasing interest in understanding their growth behaviors. These condensates exhibit varying material properties that are closely relat… [Phys. Rev. Lett. 133, 118401] Published Tue Sep 10, 2024

Author(s): Chenchen Wang, Zeng-Ren Liang, Xiao-Feng Chen, Ai-Min Guo, Guanghao Ji, Qing-Feng Sun, and Yong Yan In the last decade, chirality-induced spin selectivity (CISS) has undergone intensive study. However, there remain several critical issues, such as the microscopic mechanism of CISS, especially transverse CISS where electrons are injected perpendicular to the helix axis of chiral molecules, quantita… [Phys. Rev. Lett. 133, 108001]...

Author(s): Florian Sammüller, Silas Robitschko, Sophie Hermann, and Matthias Schmidt A new scheme utilizing machine learning allows for the investigation of complex observables in spatially inhomogeneous many-body systems in a way not possible with conventional density functional theory. [Phys. Rev. Lett. 133, 098201] Published Fri Aug 30, 2024

Author(s): Florian Otterpohl, Daniel Keefer, Shaul Mukamel, and Michael Thorwart The quantum coherent dynamics of a vibronic wave packet in a molecule passing through a conical intersection can be revealed using attosecond transient coherent Raman spectroscopy. In particular, the time evolution of the electronic coherence can be monitored in the presence of vibrational dynamics.… [Phys. Rev. Lett. 133, 098001] Published Wed Aug 28, 2024

Author(s): John M. McBride and Tsvi Tlusty AI algorithms have proven to be excellent predictors of protein structure, but whether and how much these algorithms can capture the underlying physics remains an open question. Here, we aim to test this question using the Alphafold2 (AF) algorithm: We use AF to predict the subtle structural deforma… [Phys. Rev. Lett. 133, 098401] Published Mon Aug 26, 2024

Author(s): Chiara Guidolin, Emmanuelle Rio, Roberto Cerbino, Fabio Giavazzi, and Anniina Salonen Pressure-driven coarsening triggers bubble rearrangements in liquid foams. Our experiments show that changing the continuous phase rheology can alter these internal bubble dynamics without influencing the coarsening kinetics. Through bubble tracking, we find that increasing the matrix yield stress p… [Phys. Rev. Lett. 133, 088202] Published Wed...