PNNL researchers worked to decouple the effects that solvents impose on reactions catalyzed in the liquid phase.

A multi-institutional team has developed a deep learning framework to identify novel molecules as drug candidates.

New research finds that reaction rates for cyclic alcohol dehydration increase as ionic strength increases, independent of reaction mechanism.

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

Scientists created a benchmark dataset and explored new algorithms to better predict changes in the intensity of North Atlantic tropical cyclones.

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

The web-based tool, called PLATIPUS, is publicly available and interacts with publications available in the CovidScholar database.

Seeking a deeper understanding of when, where, and why large wildfires occur using explainable artificial intelligence.

Local ionic strength within zeolite pores tailors the chemical potential of reacting molecules, leading to high cyclohexanol dehydration activity

Tetranuclear molybdenum sulfide clusters encaged in zeolites mimic the FeMo-cofactor of nitrogenase, offering a new opportunity for improving industrial hydrotreatment processes.

New research uncovers the mechanism of carbon dioxide reduction by metal-O-Fe bonds of single-metal atoms and metal nanoparticles supported by oxidic surfaces.

Researchers used deep learning methods to estimate the subsurface permeability of a watershed from stream discharge measurements.

Characterizing the electron redistribution that allows the binding of molecular nitrogen to the catalytic core of nitrogenase.

A new approach uses CO₂ to favorably co-produce methanol and glycols in a simple one-pot reaction.

Rigorous mathematical methods can help avoid unnecessary simplifications in numerical models of atmospheric clouds.

More accurate methods provide better results in numerical simulations of atmospheric clouds by avoiding accidental contradictions.

A nanosized metal catalyst directly bonded to a metal-organic framework is active in converting carbon dioxide to methanol.

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

Contributions from researchers across Pacific Northwest National Laboratory (PNNL) were recently recognized in the preliminary findings of a Secretary of Energy Advisory Board (SEAB) report.