Research

NSF $7.5 million grant supports Han Li's innovative biomanufacturing process

Project to make valuable organic pesticide chemicals in a more efficient way

UC Irvine earns prestigious dual designations in 2025 Carnegie Classifications

Campus cited for its research excellence and student success

Michael Yassa, right, with co-authors Bryce Mander and Destiny Berisha.

Study links REM sleep apnea to brain changes, memory loss in older adults

UC Irvine researchers find that low oxygen levels may injure critical cerebral regions

Mo Li, UC Irvine professor of civil and environmental engineering as well as materials science and engineering.

Wind power made more practical

Campus lab is pioneering 3D-printed concrete components to produce massive turbines for clean energy without the drawbacks

Computer-generated image to illustrate the principals of slip banding in compress metals.

UC Irvine researchers challenge model governing deformation of materials under stress

Study identifies two strikingly different types of slip bands in advanced metal alloys

Diego Pizzagalli, head of UC Irvine’s Noel Drury, M.D. Institute for Translational Depression Discoveries.

Brain-based markers may help personalize depression treatment

Study led by founding director of UC Irvine Institute for Translational Depression Discoveries

UC Irvine professors Mathew Blurton-Jones (left) and Robert Spitale

Engineered microglia show promise for treating Alzheimer's, other brain diseases

UC Irvine team develops cell-based platform for brain-wide delivery of therapeutic agents

Jenny Yang, UC Irvine professor of chemistry

Curbing climate change

Jenny Yang and her lab team are refining revolutionary carbon capture technology

Roxane Cohen Silver and Alison Holman

Study reveals partisan divide in perceptions of Ford-Kavanaugh hearings

UC Irvine researchers stress need for understanding political divisions

Louhua Jiang professor of epidemiology and biostatistics

AI effectively predicts dementia risk in American Indian/Alaska Native elders

UC Irvine study provides framework for how machine learning models identify novel predictors