期刊名：Entropy

期刊 ISSN：1099-4300

期刊主页：https://www.mdpi.com/journal/entropy

近日，国际开放获取期刊 Entropy正式宣布Best Paper Award评选结果。为了表彰Entropy期刊上发表的高质量、具有显著科学影响力的论文，回馈期刊的作者，Entropy期刊设立年度最佳论文奖。经过评审委员会对2024年发表的全部论文从原创性、重要性、引用量与下载量等多维度的严格评估，最终有5篇论文脱颖而出。

1. Efficient Implementation of Discrete-Time Quantum Walks on Quantum Computers

量子计算机上离散时间量子行走的高效实现

Luca Razzoli, Gabriele Cenedese, Maria Bondani and Giuliano Benenti

https://doi.org/10.3390/e26040313

Razzoli, L.; Cenedese, G.; Bondani, M.; Benenti, G. Efficient Implementation of Discrete-Time Quantum Walks on Quantum Computers. Entropy 2024, 26, 313. https://doi.org/10.3390/e26040313

2. On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data

基于多维样本数据的信息论量精确估计

Manuel Álvarez Chaves, Hoshin V. Gupta, Uwe Ehret and Anneli Guthke

https://doi.org/10.3390/e26050387

Álvarez Chaves, M.; Gupta, H.V.; Ehret, U.; Guthke, A. On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data. Entropy 2024, 26, 387. https://doi.org/10.3390/e26050387

3. Kinetic Theory of Self-Propelled Particles with Nematic Alignment

具有向列排列的自驱动粒子动力学理论

Horst-Holger Boltz, Benjamin Kohler and Thomas Ihle

https://doi.org/10.3390/e26121054

Boltz, H.-H.; Kohler, B.; Ihle, T. Kinetic Theory of Self-Propelled Particles with Nematic Alignment. Entropy 2024, 26, 1054. https://doi.org/10.3390/e26121054

4. Natural Induction: Spontaneous Adaptive Organisation without Natural Selection

自然归纳：无需自然选择的自发适应性组织

Christopher L. Buckley, Tim Lewens, Michael Levin, Beren Millidge, Alexander Tschantz and Richard A. Watson

https://doi.org/10.3390/e26090765

Buckley, C.L.; Lewens, T.; Levin, M.; Millidge, B.; Tschantz, A.; Watson, R.A. Natural Induction: Spontaneous Adaptive Organisation without Natural Selection. Entropy 2024, 26, 765. https://doi.org/10.3390/e26090765

5. To Compress or Not to Compress—Self-Supervised Learning and Information Theory: A Review

压缩还是不压缩——自监督学习与信息论：综述

Ravid Shwartz Ziv and Yann LeCun

https://doi.org/10.3390/e26030252

Shwartz Ziv, R.; LeCun, Y. To Compress or Not to Compress—Self-Supervised Learning and Information Theory: A Review. Entropy 2024, 26, 252. https://doi.org/10.3390/e26030252

获奖者将获得

•500瑞士法郎奖金；

•电子版获奖证书；

•APC（文章处理费）全额豁免券一张（可在一年内用于向Entropy投稿一次，需经同行评审）。

我们向所有获奖者致以最热烈的祝贺！同时也衷心感谢全球广大作者对Entropy期刊的持续信任与支持。

期刊介绍

主编：Prof. Dr. Kevin H. Knuth, Department of Physics, University at Albany, 1400 Washington Avenue, Albany, NY 12222, USA

Entropy (ISSN 1099-4300) 是一个国际型开放获取英文学术期刊，主要发表熵和信息论的相关文章，涉及学科领域有：热力学、统计力学、信息论、生物物理学、天体物理学及宇宙学、量子信息和复杂体系等。期刊目前已被Scopus, SCIE (Web of Science), Inspec, PubMed, PMC, Astrophysics Data System等多个数据库收录。

2025 Impact Factor：2.1

2025 CiteScore：4.9

Time to First Decision：20.9 Days

Acceptance to Publication：3.4 Days