The map fills in a portion of the study site missing from sampling studies and enables a better understanding of hydrological dynamics in a complex river corridor.

Controlled synthesis and processing allow researchers to test how ions move through energy-relevant materials.

The structure-directing agent directly interacts with framework components during material formation.

Researchers developed a new tool that combines artificial intelligence and microscopy data to rapidly test new materials for fusion reactor use.

A small collection of naturally interacting soil microbes could enable new studies of community interactions and metabolism.

Community Land Model 5.0 can represent how irrigation influences water, carbon, and nitrogen budgets throughout a highly managed semiarid watershed.

Soil microbial communities produced more water retaining molecules when enriched with insoluble organic carbon, chitin, compared to a soluble carbon source, N-acetylglucosamine.

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

Artificial structuring in carefully designed (SrNiO3)1/(LaFeO3)n superlattices stabilized Ni4+ cations that would otherwise be unstable

Geophysical modeling and inversion software meets DOE and nuclear industry standards for use in decision-making for radiologically contaminated sites.

Changing the environment of proteins directs their assembly into different types of larger structures.

To study the impact of accelerated dryland expansion and degradation on global dryland gross primary production (GPP,) PNNL and Washington State University researchers assessed GPP data from 2000-2014 and the CMIP5 aridity index (AI).

This research addresses two topics that are not well understood in literature: the interplay between organic linkers and substrates during MOF crystallization, as well as the mechanisms that control heterostructure formation in solutions.

Researchers performed controlled laboratory experiments using river sediment to test organic matter thermodynamics as a mechanism of metabolic control in areas where groundwater and surface water mix.

Researchers performed a combined analysis of metabolic and gene co-expression networks to explore how the soil microbiome responds to changes in moisture and nutrient conditions.

Researchers trained deep neural networks to accurately predict microbial interactions captured by fluorescence microscopy.

By studying discrete functional components of the soil microbiome at high resolution, researchers obtained a more complete picture of soil diversity compared to analysis of the entire soil community.

Researchers have developed a new technique to visualize the activity and distribution of enzymes that mobilize phosphate around plant roots.

DOE researchers have developed an infrared nano-imager that may be used to visualize and fingerprint biological molecules in their native liquid environments.

Soil respiration—the flow of CO2 from the soil surface to the atmosphere—is one of the largest carbon fluxes in the terrestrial biosphere.