PNNL researchers developed a way to produce accurate simulations of complex physical systems using renormalized approximations across multiple scales

Soil moisture influences both the activity of soil DNA viruses, as well as the composition and abundance of RNA viruses.

Knowing which bacteria in a community are involved with carbon cycling could help scientists predict how microbial carbon storage and release could influence future climate dynamics.

Hypergraphs can more faithfully identify important genes in complex immune responses.

New mathematical tools developed at PNNL hold promise to transform the way we operate and defend complex cyber-physical systems, such as the power grid.

Microbiome and soil chemistry characterization at long-term bioenergy research sites challenges idea that switchgrass increases carbon accrual in surface soils of marginal lands.

Predictive models indicate cells regulate enzyme activity to maintain liquid center.