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Computational Science

The intersection of computer science and the natural sciences

Whether it is the integration of computing and biology, novel computational tools and methods to predict and mitigate rapid changes occurring in the earth’s life-support systems, or the representations, analysis, and visualization of digitized geographic information, Microsoft Research is committed to providing computational support to unravel the mysteries of science.



Katherine E Todd-Brown, Yiqi Luo, James Tremper Randerson, Stephen D. Allison, and Matthew J. Smith, Understanding the Dynamics of Soil Carbon in CMIP5 Models, 15 December 2014

Silvia Caldararu, Drew W. Purves, and Matthew J. Smith, Functional and Structural Optimality in Plant Growth: A Crop Modelling Case Study, 15 December 2014

Matthew J. Smith, Stephen Emmott, Drew W. Purves, Lucas N. Joppa, and Vassily Lyutsarev, Joined-up Planetary Information, in the Cloud and on Devices, 15 December 2014

Oleksandra Hararuk and Matthew J. Smith, Importance of modelling microbial dynamics in soil: evaluation of conventional and microbial soil models informed by observations across various plant functional types, 15 December 2014

Oleksandra Hararuk, Matthew J. Smith, and Yiqi Luo, Microbial models with data-driven parameters predict stronger soil carbon responses to climate change, in Global Change Biology, Wiley, 1 December 2014

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