Shih, Hong-Yan / Assistant Research Fellow

Research Interest

• Statistical physics in living systems
• evolutionary ecology
• turbulence

獎項及殊榮

Experience

• 2017-2019 Postdoc in the Department of Physics and the Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign

Publication

Journal Papers

• [1]     Xueying Wang, Hong-Yan Shih, Nigel Goldenfeld, 2022, “Stochastic Model for Quasi-One-Dimensional Transitional Turbulence with Streamwise Shear Interactions”, Physical Review Letters, 129, 034501-1-034501-5. (SCIE) (IF: 9.185; SCI ranking: 9.3%)
  
  
• [2]     Hong-Yan Shih and Nigel Goldenfeld, 2021, “Mechanisms of rapid evolution”, Physical Biology, vol 18 (4), 27. (SCIE) (IF: 2.959; SCI ranking: 73.4%,59.7%)
  
  

發現與突破

• [1]     西元年：2016
  研究人員(中)：施宏燕
  研究人員(英)：SHIH, HONG-YAN
  研究成果名稱(中)：湍流相變中的生態滅絕行為與湧現的時空間歇現象
  研究成果名稱(英)：Ecological collapse and the emergence of spatiotemporal intermittency at the onset of turbulence
  簡要記述(中)：在此工作中我們結合非平衡統計物理和生態學模型，解釋了百年懸而未解的湍流相變問題。我們首度在流體力學方程式的管狀流數值模擬中發現湍流逐漸產生時，流體會湧現大尺度的緯向流、並且和湍流之間行成類似掠食者-獵物的生態動力學行為。我們由此發展一套統計物理等效理論，以數值模擬發現複雜的湍流相變行為其實和掠食者-獵物的生態系統滅絕到共存的相變完全相同，並以此預測湍流相變所對應的普適性分類，從而解釋湍流實驗中的相變現象與其複雜行為背後的基礎物理機制。這個看似出乎意料的結果革命性地改變過去長久以來以傳統流體力學為主的湍流研究，應用統計物理於湍流的研究也開始蓬勃發展。
  簡要記述(英)：In this work we combined non-equilibrium statistical physics and an ecological model and explained the century-old puzzle of the laminar-turbulent transition. For the first time we discovered from directed numerical simulations of hydrodynamics equations in pipe flow that at the onset of turbulence there is an emergent large scale zonal flow which interacts with turbulence in the same way as predator-prey dynamics. Based on this discovery, we developed a statistical physics effective theory, and from numerical simulations we found that turbulence has the same transitional behavior as the extinction transition in a predator-prey ecosystem, and therefore we can explain the fundamental physical mechanism behind the complicated behavior in the experiments of transitional turbulence. This surprising result reconceptualized the studies of turbulence which used to focus on traditional methods of fluid dynamics, and applying statistical physics to turbulence has become a vivid research field.