The new center will provide a testbed to help academic and corporate researchers develop and deploy a new generation of physical structures and electronic technologies as prototypes for the urban environments of the 21st Century.
A new model offers a way to predict the condition of a battery’s internal systems in real-time with far more accuracy than existing tools. In electric cars, the technology could improve driving range estimates and prolong battery life.
Using a new algorithm, Stanford researchers have reconstructed the movements of individual particles of light to see through clouds, fog and other obstructions.
Researchers have modeled how coastal flooding will impact commutes in the Bay Area over the next 20 years. Regions with sparse road networks will have some of the worst commute delays, regardless of their distances from the coast.
The researchers hypothesize outcomes of the pandemic’s unprecedented socioeconomic disruption, and outline research priorities for advancing our understanding of humans’ impact on the environment.
Engineers have demonstrated a practical way to use magnetism to transmit electricity wirelessly to recharge electric cars, robots or even drones. The technology could be scaled up to power electric cars as they drive over highways, robots on factory floors and drones hovering over rooftops.
Using artificial intelligence, a Stanford-led research team has slashed battery testing times – a key barrier to longer-lasting, faster-charging batteries for electric vehicles – by nearly fifteenfold.
Engineers in Stanford’s Dynamic Design Lab are teaching a driverless DeLorean to steer with the agility and precision of a human driver with a goal of improving how autonomous cars handle in hazardous conditions.
Coal use is down dramatically in the United States and the European Union, and renewable energy is gaining traction. But rising natural gas and oil use in 2019 increased the world's carbon dioxide emissions modestly for a third straight year.
