A new technology developed at Stanford can extract lithium from brines at an estimated cost of under 40% that of today’s dominant extraction method, and at just a fourth of lithium’s current market price. The new technology would also be much more reliable and sustainable in its use of water, chemicals, and land than today’s technology.
Scientists at Stanford, SLAC and 13 other institutions are seeking to overcome the major limitations of a battery by using water as the primary component of its electrolyte.
Charging lithium-ion batteries at high currents just before they leave the factory is 30x faster and increases battery lifespans by 50%, according to a study at the SLAC-Stanford Battery Center.
Researchers at Stanford University’s Space Rendezvous Lab, recently completed the first-ever in-orbit test of a prototype system able to navigate a swarm of satellites using only visual information shared through a wireless network.
In a dramatic leap forward in scale, efficiency, and cost, researchers at Stanford University have built a Ti:sapphire laser on a chip. They are indispensable in many fields, including cutting-edge quantum optics, spectroscopy, and neuroscience.
In this Future of Everything episode, Jeanette Bohg, Assistant Professor of Computer Science discusses the recent revolution in large language models and how that is transforming robotics.
Researchers from the Stanford Graduate School of Business and University of Washington found a lack of standardization in reporting and verification practices in corporate ESG reporting.
Stanford Law Professor Deborah Sivas, an environmental law expert, discusses the SCOTUS decision to overturn 40 years of precedent in the Chevron decision and its implications.
Researchers from Oak Ridge National Lab, with support from the Stanford Synchrotron Radiation Lightsource at SLAC, found a better way to convert carbon dioxide to methanol. The team was the first to use anion substitution to this end. Such catalysts could join the portfolio of technologies aimed at achieving global net-zero carbon dioxide emissions by 2050.
Stanford AI researchers, along with colleagues from Harvard University, have published a new paper showing that many risk models may not be all they are cracked up to be because they have too much data. Oftentimes risk models measure things indirectly using proxies and the use of inapt proxies leads to a research phenomenon known as label bias.
