AAPPS Bulletin最新文献

Wavelength multicasting quantum clock synchronization network 波长多播量子时钟同步网络

AAPPS Bulletin Pub Date : 2024-11-18 DOI: 10.1007/s43673-024-00136-4

Jiaao Li, Hui Han, Xiaopeng Huang, Bangying Tang, Kai Guo, Jinquan Huang, Siyu Xiong, Wanrong Yu, Zhaojian Zhang, Junbo Yang, Bo Liu, Huan Chen, Zhenkun Lu

引用次数: 0

Non-equilibrium BCS-BEC crossover and unconventional FFLO superfluid in a strongly interacting driven-dissipative Fermi gas 强相互作用驱动耗散费米气体中的非平衡 BCS-BEC 交叉和非常规 FFLO 超流体

AAPPS Bulletin Pub Date : 2024-11-07 DOI: 10.1007/s43673-024-00137-3

Taira Kawamura, Yoji Ohashi

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引用次数: 0

Publisher Correction: Density functional theory study of two-dimensional hybrid organic-inorganic perovskites: frontier level alignment and chirality-induced spin splitting 出版商更正：二维有机-无机杂化过氧化物的密度泛函理论研究：前沿水平排列和手性诱导的自旋分裂

AAPPS Bulletin Pub Date : 2024-11-04 DOI: 10.1007/s43673-024-00135-5

Ruyi Song, Rundong Zhao

引用次数: 0

Competing few-body correlations in ultracold Fermi polarons 超冷费米极子中相互竞争的少体相关性

AAPPS Bulletin Pub Date : 2024-10-25 DOI: 10.1007/s43673-024-00134-6

Ruijin Liu, Xiaoling Cui

{"title":"Competing few-body correlations in ultracold Fermi polarons","authors":"Ruijin Liu, Xiaoling Cui","doi":"10.1007/s43673-024-00134-6","DOIUrl":"10.1007/s43673-024-00134-6","url":null,"abstract":"<div><p>Polaron, a typical quasi-particle that describes a single impurity dressed with surrounding environment, serves as an ideal platform for bridging few- and many-body physics. In particular, different few-body correlations can compete with each other and lead to many intriguing phenomena. In this work, we review the recent progresses made in understanding few-body correlation effects in attractive Fermi polarons of ultracold gases. By adopting a unified variational ansatz that incorporates different few-body correlations in a single framework, we will discuss their competing effects in Fermi polarons when the impurity and majority fermions have the same or different masses. For the equal-mass case, we review the nature of polaron-molecule transition that is driven by two-body correlations, and especially highlight the finite momentum character and huge degeneracy of molecule states. For the mass-imbalanced case, we focus on the smooth crossover between polaron and various dressed clusters that originate from high-order correlations. These competing few-body correlations reviewed in Fermi polarons suggest a variety of exotic new phases in the corresponding many-body system of Fermi-Fermi mixtures.</p></div>","PeriodicalId":100007,"journal":{"name":"AAPPS Bulletin","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43673-024-00134-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142519026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

News and Views (9&10) 新闻与观点 (9&10)

AAPPS Bulletin Pub Date : 2024-10-10 DOI: 10.1007/s43673-024-00133-7

AAPPS Bulletin

引用次数: 0

Correction: News and Views (7&8) 更正：新闻与观点 (7&8)

AAPPS Bulletin Pub Date : 2024-09-26 DOI: 10.1007/s43673-024-00130-w

AAPPS Bulletin

引用次数: 0

Deep learning-driven evaluation and prediction of ion-doped NASICON materials for enhanced solid-state battery performance 深度学习驱动的离子掺杂 NASICON 材料评估和预测，提高固态电池性能

AAPPS Bulletin Pub Date : 2024-09-17 DOI: 10.1007/s43673-024-00131-9

Zirui Zhao, Xiaoke Wang, Si Wu, Pengfei Zhou, Qian Zhao, Guanping Xu, Kaitong Sun, Hai-Feng Li

{"title":"Deep learning-driven evaluation and prediction of ion-doped NASICON materials for enhanced solid-state battery performance","authors":"Zirui Zhao, Xiaoke Wang, Si Wu, Pengfei Zhou, Qian Zhao, Guanping Xu, Kaitong Sun, Hai-Feng Li","doi":"10.1007/s43673-024-00131-9","DOIUrl":"10.1007/s43673-024-00131-9","url":null,"abstract":"<div><p>NASICON (Na<span>(_{1+x})</span>Zr<span>(_2)</span>Si<span>(_x)</span>P<span>(_{3-x})</span>O<span>(_{12})</span>) is a well-established solid-state electrolyte, renowned for its high ionic conductivity and excellent chemical stability, rendering it a promising candidate for solid-state batteries. However, the intricate influence of ion doping on their performance has been a central focus of research, with existing studies often lacking comprehensive evaluation methods. This study introduces a deep-learning-based approach to efficiently evaluate ion-doped NASICON materials. We developed a convolutional neural network (CNN) model capable of predicting the performance of various ion-doped NASICON compounds by leveraging extensive datasets from prior experimental investigation. The model demonstrated high accuracy and efficiency in predicting ionic conductivity and electrochemical properties. Key findings include the successful synthesis and validation of three NASICON materials predicted by the model, with experimental results closely matching the model’s predictions. This research not only enhances the understanding of ion-doping effects in NASICON materials but also establishes a robust framework for material design and practical applications. It bridges the gap between theoretical predictions and experimental validations.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":100007,"journal":{"name":"AAPPS Bulletin","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43673-024-00131-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142412271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Yemilab, a new underground laboratory in Korea 耶米实验室，韩国新的地下实验室

AAPPS Bulletin Pub Date : 2024-09-16 DOI: 10.1007/s43673-024-00132-8

Yeongduk Kim, Hyun Su Lee

引用次数: 0

From the quantum breakdown model to the lattice gauge theory 从量子击穿模型到晶格规理论

AAPPS Bulletin Pub Date : 2024-08-26 DOI: 10.1007/s43673-024-00128-4

Yu-Min Hu, Biao Lian

引用次数: 0

Progress in acoustic measurements and geoacoustic applications 声学测量和地质声学应用方面的进展

AAPPS Bulletin Pub Date : 2024-08-21 DOI: 10.1007/s43673-024-00127-5

Lin Fa, Huiting Yang, Yuxiao Fa, Shuangshuang Meng, Jurong Bai, Yandong Zhang, Xiangrong Fang, Xiao Zou, Xinhao Cui, Yanli Wang, Meishan Zhao

{"title":"Progress in acoustic measurements and geoacoustic applications","authors":"Lin Fa, Huiting Yang, Yuxiao Fa, Shuangshuang Meng, Jurong Bai, Yandong Zhang, Xiangrong Fang, Xiao Zou, Xinhao Cui, Yanli Wang, Meishan Zhao","doi":"10.1007/s43673-024-00127-5","DOIUrl":"10.1007/s43673-024-00127-5","url":null,"abstract":"<div><p>Geoacoustic exploration is a rapidly evolving field investigating underground rock formations and sediment environments through acoustic waves. In this paper, we present a review of recent research progress, focusing on newly discovered physical phenomena, such as the reflection and refraction of acoustic waves at the interface between anisotropic rocks and between liquid and solid, the characteristics of electric-acoustic (and acoustic-electric) conversion of piezoelectric transducers, the physical mechanism of acoustic wave propagation in viscous media, and the generation of intrinsic noise. We developed new physical models, introduced a parallel transmission network describing piezoelectric transducers for electric-acoustic (and acoustic-electric) energy transfer, and derived new formulations and algorithms associated with the latest model. We will discuss the potential of abnormal incidence angle, acoustic attenuation, and acoustic Goos-Hänchen effect and propose a method of inversion of formation reflection coefficient using logging and seismic data acquired from anisotropic rocks with dip angle. We will also discuss the physical mechanism and potential applications of the intrinsic noise generated inside viscous solid media. Finally, we introduce a parallel/series lumped vibrational transmission network, explain the acoustic measurement process, and discuss applications of the Kaiser effect in petroleum engineering.</p></div>","PeriodicalId":100007,"journal":{"name":"AAPPS Bulletin","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43673-024-00127-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142412877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0