A predicted structural interactome reveals binding interference from intrinsically disordered regions

Kavli Affiliate: Li Zhao | Junhui Peng and Li Zhao | Summary: Proteins function through dynamic interactions with other proteins in cells, forming complex networks fundamental to cellular processes. While high-resolution and high-throughput methods have significantly advanced our understanding of how proteins interact with each other, the molecular details of many important protein-protein interactions are […]


Continue.. A predicted structural interactome reveals binding interference from intrinsically disordered regions

Single-click protocols for remote state preparation using weak coherent pulses

Kavli Affiliate: Stephanie Wehner | Summary:Remote state preparation (RSP) allows one party to remotely prepare a known quantum state on another party’s qubit using entanglement. This can be used in quantum networks to perform applications such as blind quantum computing or long-distance quantum key distribution (QKD) with quantum repeaters. Devices to perform RSP, referred to […]


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Nonstrange and strange quark matter at finite temperature within modified NJL model and protoquark stars

Kavli Affiliate: Renxin Xu | Summary:We extend the modified Nambu-Jona-Lasinio (NJL) model — incorporating exchange interactions via the Fierz transformation — to finite temperatures in both two- and three-flavor scenarios, and investigate the properties of protoquark stars in $β$-equilibrium. Our results show that increasing the strength of exchange interactions, characterized by the parameter $α$, changes […]


Continue.. Nonstrange and strange quark matter at finite temperature within modified NJL model and protoquark stars

Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction

Kavli Affiliate: Ting Xu | First 5 Authors: Jiacheng Hu, Jiacheng Hu, , , | Summary: This study addresses the challenges of symptom evolution complexity and insufficient temporal dependency modeling in Parkinson’s disease progression prediction. It proposes a unified prediction framework that integrates structural perception and temporal modeling. The method leverages graph neural networks to […]


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Jahn-Teller-like Distortion in a One-dimensional π-Conjugated Polymer

Kavli Affiliate: Felix Fischer | Summary:Structurally distorting low-dimensional π-conjugated systems can profoundly influence their electronic properties, but controlling such behavior in extended-width systems remains challenging. Here we demonstrate that a one-dimensional conjugated polymer, poly-(difluorenoheptalene-ethynylene) (PDFHE), undergoes a pronounced out-of-plane backbone distortion, equivalent to a spontaneous symmetry breaking (SSB) of its mirror symmetry. We synthesized PDFHE […]


Continue.. Jahn-Teller-like Distortion in a One-dimensional π-Conjugated Polymer

Jahn-Teller-like Distortion in a One-dimensional π-Conjugated Polymer

Kavli Affiliate: Michael F. Crommie | First 5 Authors: Ziyi Wang, Ziyi Wang, , , | Summary: Structurally distorting low-dimensional pi-conjugated systems can profoundly influence their electronic properties, but controlling such behavior in extended-width systems remains challenging. Here we demonstrate that a one-dimensional conjugated polymer, poly-(difluorenoheptalene-ethynylene) (PDFHE), undergoes a pronounced out-of-plane backbone distortion, equivalent to […]


Continue.. Jahn-Teller-like Distortion in a One-dimensional π-Conjugated Polymer