A new computational analysis suggests that maximizing swimming speeds while minimizing energy costs depends on an optimal balance between a fish’s muscle dynamics and the way its size, shape, and swimming motion affect its movement through water. Grgur Tokic and Dick Yue of the Massachusetts Institute of Technology present these findings in PLOS Computational Biology.
Click here for original story, Fish simulations provide new insights into energy costs of swimming
Source: Phys.org