NREL creates highest efficiency 1-sun solar cell
Peer-Reviewed Publication
Researchers at the U.S. Department of Energy’s National Renewable Energy Laboratory (NREL) created a solar cell with a record 39.5% efficiency under 1-sun global illumination. This is the highest efficiency solar cell of any type, measured using standard 1-sun conditions.
Researchers at the Advanced Quantum Testbed at Berkeley Lab demonstrated the first three-qubit high-fidelity iToffoli native gate in a superconducting quantum information processor and in a single step. This demonstration adds a novel easy-to-implement native three-qubit logic gate for universal quantum computing.
Argonne researchers have used quantum computers to simulate spin defects, an important material property for the next generation of quantum computers.
Novel simulation brings extraordinary fast radio bursts into the laboratory in a way once thought impossible.
Scientists discover superconductivity and charge density waves are intrinsically interconnected at the nanoscopic level, a new understanding that could help lead to the next generation of electronics and computers.
New research describes a “chaperone” protein that delivers zinc, a trace element essential for survival in all living things, to where it’s needed. The chaperone could be especially important when access to zinc is limited—for example in nutrient deficient diets and for growing crops on depleted soils.
A Berkeley Lab-led research team has demonstrated an ultrathin silicon nanowire that conducts heat 150% more efficiently than conventional materials used in advanced chip technologies. The device could enable smaller, faster, energy-efficient microelectronics.
New research modeling smoke from two recent megafires sets the stage for better forecasting of how emissions from these global-scale events will behave and impact temperatures. As huge wildfires become more common under climate change, increased attention has focused on the intensity and duration of their emissions, which rival those of some volcano eruptions.
A new method of detecting mega earthquakes, which picks up on the gravity waves they generate by using deep-learning models created at Los Alamos National Laboratory, can estimate earthquake magnitude in real time and provide earlier warning of tsunamis.
Chemists at the U.S. Department of Energy’s Brookhaven National Laboratory have developed a new machine-learning (ML) framework that can zero in on which steps of a multistep chemical conversion should be tweaked to improve productivity. The approach could help guide the design of catalysts—chemical “dealmakers” that speed up reactions.