Optical atomic clocks have taken a giant leap in recent years, with several experiments reaching uncertainties at the 10−18 level. The development of synchronized clock networks and transportable clocks that operate in extreme and distant environments would allow clocks based on different atomic standards or placed in separate locations to be compared. Such networks would enable relativistic geodesy, tests of fundamental physics, dark matter searches, and more. However, the leading neutral-atom optical clocks operate on wavelengths of 698 nm (Sr) and 578 nm (Yb). Light at these wavelengths is strongly attenuated in optical fibers, posing a challenge to long-distance time transfer. Those wavelengths are also inconvenient for constructing the ultrastable lasers that are an essential component of optical clocks. To address this problem, UC Berkeley researchers have developed a new, laser-cooled neutral atom optical atomic clock that operates in the telecommunication wavelength band. The leveraged atomic transitions are narrow and exhibit much smaller black body radiation shifts than those in alkaline earth atoms, as well as small quadratic Zeeman shifts. Furthermore, the transition wavelengths are in the low-loss S, C, and L-bands of fiber-optic telecommunication standards, allowing the clocks to be integrated with robust laser technology and optical amplifiers. Additionally, the researchers have identified magic trapping wavelengths via extensive studies and have proposed approaches to overcome magnetic dipole-dipole interactions. Together, these features support the development of fiber-linked terrestrial clock networks over continental distances.

Achieving a balance between high toughness and elasticity in polymer science is traditionally difficult, as increasing one property often compromises the other. To overcome this limitation, researchers at UC Berkeley have developed a method using crystalline woven and interlocked covalent organic frameworks (COFs) as structural additives. By incorporating these molecularly "woven" frameworks into polymer matrices, the resulting composite materials benefit from the unique mechanical energy dissipation provided by the interlocked COF threads. This molecular weaving approach allows for the creation of advanced materials that possess exceptional strength and flexibility, far surpassing the mechanical performance of standard polymers.

Airlines rely on flight dispatchers to perform the duty of fuel planning. In addition to required fuel loading categories, flight dispatchers also uplift contingency fuel to be on the aircraft to hedge against various uncertainties (e.g. weather uncertainty, traffic congestion uncertainty, air traffic control uncertainty etc.) to ensure flight safety and reduce the risk of diversions. To provide consistent and objective fuel planning, some airline Flight Planning System (FPS) provides recommended contingency fuel numbers for dispatchers based on a statistical analysis of historical fuel consumption for similar flights. This recommended contingency fuel is called statistical contingency fuel (SCF). However, due to limitations of the current SCF estimation approach, the application of SCF is limited. Researchers at the University of California, Berkeley have developed a novel methodology based on quantile regression models to overcome the limitations of the current SCF estimation approach. The proposed method takes various factors such as weather, aircraft type, airport, and historical operational conditions into account so that SCF can be estimated in a dynamic, flexible, and more accurate way. Their results have shown that dynamic SCF performs much better than the current SCF estimated by airline FPS and also more sensitive to the specific conditions faced by a given flight. SCF calculated using this novel method will be higher under adverse weather conditions, whereas the current method for determining SCF does not take these conditions into account. The result of using this novel SCF is expected to reduce fuel loading, since dispatchers typically ignore SCF based on the current method when conditions are poor, instead simply loading a very large amount of contingency fuel. By reducing fuel loading, not only would a plan be able to take off sooner, but this would also result in reduced fuel consumption as the aircraft’s weight would be reduced.