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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.Entropy2024, 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.Entropy2024, 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.Entropy2024, 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.Entropy2024, 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.Entropy2024, 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
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