Environmental Science Division (EVS) a Division of Argonne National Laboratory

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Past Events

JANUARY 27, 2015

In an environment of rising energy consumption and a setting of climate change, our challenge as concerned scientists is to be proactive during a period of rapid renewable energy expansion in order to reduce global biodiversity loss from high magnitude warming and address the potential for harm to animal and plant populations.

DECEMBER 12, 2014

The vast amount of organic carbon stored in soils of the northern circumpolar permafrost region is a potentially vulnerable component of the global carbon cycle. Yet, estimates of the quantity, decomposability, and combustibility of the carbon contained in permafrost-region soils remain highly uncertain, limiting our ability to predict the release of greenhouse gases due to permafrost thawing.

DECEMBER 2, 2014

Nearly 80% of all structural failures are due to mechanical fatigue, which often results in catastrophic, dangerous, and costly failure events. However, a comprehensive model to predict fatigue remains an elusive goal. One of the major challenges is that fatigue is intrinsically a multiscale process that is dependent on the macroscale geometry (i.e., shape) of a device as well as its microscale structural features (e.g., the non-metallic inclusions, crystal grains, or voids found in metal alloys). The presented work will develop a novel multiscale method for fatigue prediction by simulating macroscale geometries explicitly while concurrently calculating the simplified local response of microscale inclusions.

NOVEMBER 24, 2014

The Geospatial Research Laboratory (GRL) providers the warfighter and Nation with superior knowledge of the battlefield through innovative basic and applied research in geospatial and related sciences.

GRL conducts geospatial research, development, technology and evaluation of current and emerging geospatial technologies that will help characterize and measure phenomena within the physical (terrain) and social (cultural) environment encountered by the Army.

NOVEMBER 19, 2014

A transient Mixing Cell Model (MCM) was developed for assessing groundwater fluxes in complex hydro-geological basins prevailing transient groundwater flow system. It is aimed for complex systems with vague sub-aquifer structure, lack of hydro-geological information.