A team led by scientists that included Berkeley Lab researchers has simulated the formation of a disc of matter, a giant burst of ejected matter, and the startup of energetic jets in the aftermath of a merger by two neutron stars.
A team of scientists led by Berkeley Lab has transformed diamonds’ natural atomic flaws into an ultrasensitive diamond anvil sensor that could open the door to a new generation of smart, designer materials, as well as the synthesis of new chemical compounds, atomically fine-tuned by pressure.
Scientists at Berkeley Lab are the first to use cryogenic electron microscopy (cryo-EM) to image atomic changes in artificial proteins known as “peptoids.” Their findings have implications for the synthesis of soft, 2D materials for a wide variety of applications.
Berkeley Lab’s Chris Mungall and Nomi Harris explain how agreeing on precise definitions of each rare disease can lead to more accurate diagnoses and better treatments, and share new evidence showing this endeavor is more important than ever.
Scientists at Berkeley Lab have revealed how atomic defects emerge in TMDs (transition metal dichalcogenides), and how those defects shape the 2D material’s electronic properties. Their findings could provide a platform for designing 2D materials for quantum information science.
New blueprint for affordable, sustainable “flow batteries” developed at Berkeley Lab could accelerate an electrical grid powered by the sun and wind.Researchers developed a versatile yet affordable battery membrane – from a class of polymers known as AquaPIMs.
A new test agent can easily and efficiently detect the misfolded protein aggregates that cause devastating neurological diseases in blood samples. The technology could lead to early diagnosis of prion, Alzheimer’s, and Parkinson’s diseases for the first time.
Scientists at Berkeley Lab have demonstrated how a powerful electron microscopy technique can provide direct insight into the performance of any material – from strong metallic glass to flexible semiconducting films – by pinpointing specific atomic “neighborhoods.”
Berkeley Lab computer scientists are working with Caltrans to use high performance computing and machine learning to help improve real-time decision making when traffic incidents occur. The first iteration of this system will be deployed in the cities of Arcadia, Duarte, Monrovia, and Pasadena in 2020, with plans for future deployments around the state.
Roughly 85% of recently installed HVAC systems in K-12 classrooms investigated in California did not provide adequate ventilation, according to a recent study. Researchers evaluated the HVAC systems, carbon dioxide (CO2) concentrations, and indoor temperature and humidity through field inspections, monitoring, and a teacher survey.