Most viewed  Simulated Snowflakes 
"Snowflake Model 1," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)1921 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 8," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)1774 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 2," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)1469 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 4," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)1423 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 13," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)1290 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 3," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)1270 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 6," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)1202 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 12," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)1095 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 11," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)994 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 5," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)980 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 9," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)979 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 7," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)863 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath


"Snowflake Model 10," by David Griffeath (University of WisconsinMadison) and Janko Gravner (University of California, Davis)844 viewsIn nature roughly a quintillion molecules make up every crystal that falls to earth, with the shape dictated by temperature, humidity and other local conditions. How such a seemingly random process produces snowflakes that are at once geometrically simple and incredibly intricate has captivated scientists since the early 1600s. Now we have simulated their 3D growth using a computational model that faithfully emulates both the basic shapes and the fine details and markings of the full range of observed forms. Our model is driven by diffusionlimited attachment of micronscale blocks of ice; read about the underlying mathematics at http://psoup.math.wisc.edu/Snowfakes.htm.  David Griffeath




