Bin Zhao | condensed matter physics | Best Researcher Award

Dr. Bin Zhao | condensed matter physics | Best Researcher Award

Associate Professor, Taizhou University China

Bin Zhao (赵斌), male, born in February 1990, is an Associate Professor of Physics with a focus on soft matter physics. He specializes in the self-assembly of block copolymers using thermodynamic (SCFT) and dynamic (DPD) models. As the host of multiple research projects, he has authored influential papers published in leading journals like Chemical Physics Letters and Langmuir. His work delves into hybrid structures and nanoscale morphology evolution, establishing him as a prominent researcher in computational material science

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🎓 Education

PhD in Physics: Focused on self-assembly of block copolymers. Theoretical Proficiency: Specialized in SCFT and DPD modeling techniques.  Research Excellence: Deep expertise in polymer thermodynamics and kinetics.

💼 Experience 

Current Role: Associate Professor of Physics, excelling in advanced computational material science. Project Leadership: Led major projects, including National Natural Science Foundation (2023–2025). Scholarly Contributions: Published groundbreaking studies in Langmuir and Macromolecules.

🏆 Awards and Honors 

National Recognition: Secured National Natural Science Foundation grant of 300,000 RMB. Provincial Grant: Led Zhejiang Provincial Natural Science Foundation project (2020–2022).  Innovation Funding: Received support from Key Laboratory of Computational Material Science.

🔬 Research Focus

Soft Matter Physics: Investigates the self-assembly of block copolymers. Methods: Applies SCFT for thermodynamics and DPD for dynamic studies. Objective: Explores nanoscale hybrid structures and phase behavior transitions.

🏆Conclusion 

Bin Zhao demonstrates exceptional qualifications for the Best Researcher Award. His cutting-edge work on the self-assembly of block copolymers, backed by substantial funding and high-quality publications, showcases his leadership and expertise in soft matter physics. With a focus on expanding the practical implications of his research and increasing visibility through awards and outreach, he has the potential to make an even greater impact in his field.

Pulication:

  1. Title: The hybrid lamella-cylinder structure self-assembled from AB-type multiblock copolymer
    Year: 2025
    Authors: Bin Zhao, Tingting Liu, Pengtao Zou, Huaqiu Liang, Qinyi Shi, Xiao Yang, Chao Wang
    DOI: 10.1016/j.cplett.2025.141878

 

  1. Title: Theoretical Study of Phase Behaviors of Symmetric Linear B1A1B2A2B3 Pentablock Copolymer
    Year: 2023
    Author: Bin Zhao

 

  1. Title: Enlarged Stable Phase Region of Hybrid Lamella-sphere Phase Enabled by A1B1A2(B2)m Branched Tetrablock Copolymer
    Year: 2021
    Author: Bin Zhao
    DOI: 10.1007/s10118-021-2554-7

 

  1. Title: Self-assembly of A1B1A2(B2) branched tetrablock copolymer: Length scale and phase transition
    Year: 2021
    Author: Bin Zhao
    DOI: 10.1016/j.cplett.2021.138451

 

  1. Title: Frank–Kasper Phases Self-Assembled from a Linear A1B1A2B2 Tetrablock Copolymer
    Year: 2021
    Author: Bin Zhao
    DOI: 10.1021/acs.langmuir.1c00503

 

  1. Title: Morphology Transitions of Linear A1B1A2B2 Tetrablock Copolymers at Symmetric Overall Volume Fraction
    Year: 2018
    Authors: Seonghyeon Ahn, Jin Kon Kim, Bin Zhao, Chao Duan, Weihua Li
    DOI: 10.1021/acs.macromol.8b00567

 

  1. Title: Emergence and Stability of a Hybrid Lamella–Sphere Structure from Linear ABAB Tetrablock Copolymers
    Year: 2018
    Authors: Bin Zhao, Wenbo Jiang, Lei Chen, Weihua Li, Feng Qiu, An-Chang Shi
    DOI: 10.1021/acsmacrolett.7b00818

 

Alessia Annibale | Statistical Physics | Best Researcher Award

Dr. Alessia Annibale | Statistical Physics | Best Researcher Award

Dr, King’s College London, United Kingdom

👩‍🔬Dr. Annibale, a Senior Lecturer at King’s College London, emerged from the esteemed group of Nobel laureate Giorgio Parisi at Sapienza University in Rome. Renowned for her groundbreaking contributions to spin-glasses, complex networks, and nonequilibrium statistical physics, she excels in both theoretical frameworks and practical algorithms. Her recent book, co-authored for Oxford University Press, delves into the intricacies of complex networks theory. With expertise in statistical mechanics, she investigates how network structures impact diverse processes like information processing and epidemic spreading. Dr. Annibale pioneers statistical physics methods in understanding the resilience of parallel information processing in machine learning. Exploring biological information processing systems, she utilizes spin-glasses and neural networks theory to decipher cellular thinking and gene-regulatory networks. Her work, published in esteemed journals and recognized in editor’s selections nine times, recently earned her a provisional selection for the Best Researcher Award at the International Young Scientist Awards. Her groundbreaking research on dynamically selected steady states in non-reciprocal networks expands the understanding of disordered systems, bridging equilibrium spin-glasses and dynamical systems theory.🌟

Profile

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Scholar

Main Research Themes and Expertise 🧠🔬

  1. Equilibrium Analysis of Complex Systems
    • Investigates processes on networks such as spin models, Kuramoto oscillators, and epidemic spreading.
    • Explores disordered systems including Neural Networks and Spin-glasses, employing supersymmetric approaches.
  2. Non-equilibrium Analysis of Complex Systems
    • Develops methods like Dynamical cavity and Generating functional analysis.
    • Applies Markov models to stochastic trajectories, studying aggregation, fragmentation, and exchange processes.
    • Examines glassy dynamics, coarsening processes, and fluctuation-dissipation violations.
  3. Networks and Graphs
    • Utilizes null models for network characterization and studies network dynamics.
    • Investigates sampling and inference techniques in network analysis.

Education 📚

PhD in Applied Mathematics, King’s College London (UK), 2004-2007 Thesis on fluctuation-dissipation relations and heterogeneities in coarsening systems. MSci in Theoretical Physics, University of Rome (Italy), 1998-2003 Explored the complexity in the Sherrington-Kirkpatrick model using supersymmetric calculations.

Academic Employment 💼

Senior Lecturer at King’s College London, with extensive teaching and supervisory roles. Directed and coordinated various academic programs and doctoral training initiatives.

Key Duties

  1. Leadership roles in academic programs and doctoral training initiatives.
  2. Extensive teaching and supervision of undergraduate and postgraduate students.
  3. Involvement in research projects and committees.

Publications Top Notes 📝

  1. Title: Immune networks: multitasking capabilities near saturation
    • Authors: E Agliari, A Annibale, A Barra, ACC Coolen, D Tantari
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2013
    • Volume: 46
    • Issue: 41
    • Pages: 415003
    • Citations: 76

 

  1. Title: Constrained Markovian dynamics of random graphs
    • Authors: ACC Coolen, A De Martino, A Annibale
    • Journal: Journal of Statistical Physics
    • Year: 2009
    • Volume: 136
    • Pages: 1035-1067
    • Citations: 65

 

  1. Title: Tailored graph ensembles as proxies or null models for real networks I: tools for quantifying structure
    • Authors: A Annibale, ACC Coolen, LP Fernandes, F Fraternali, J Kleinjung
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2009
    • Volume: 42
    • Issue: 48
    • Pages: 485001
    • Citations: 61

 

  1. Title: Extensive parallel processing on scale-free networks
    • Authors: P Sollich, D Tantari, A Annibale, A Barra
    • Journal: Physical review letters
    • Year: 2014
    • Volume: 113
    • Issue: 23
    • Pages: 238106
    • Citations: 60

 

  1. Title: Immune networks: multi-tasking capabilities at medium load
    • Authors: E Agliari, A Annibale, A Barra, ACC Coolen, D Tantari
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2013
    • Volume: 46
    • Issue: 33
    • Pages: 335101
    • Citations: 38

 

  1. Title: Spin, bond and global fluctuation–dissipation relations in the non-equilibrium spherical ferromagnet
    • Authors: A Annibale, P Sollich
    • Journal: Journal of Physics A: Mathematical and General
    • Year: 2006
    • Volume: 39
    • Issue: 12
    • Pages: 2853
    • Citations: 36

 

  1. Title: Protein networks reveal detection bias and species consistency when analysed by information-theoretic methods
    • Authors: LP Fernandes, A Annibale, J Kleinjung, ACC Coolen, F Fraternali
    • Journal: PloS one
    • Year: 2010
    • Volume: 5
    • Issue: 8
    • Pages: e12083
    • Citations: 30