A softer porous material could help improve solid-state batteries
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Oct-2026 16:15 ET (25-Oct-2026 20:15 GMT/UTC)
For solid-state batteries, moving lithium ions efficiently is only part of the challenge — how the material behaves mechanically can matter too. Rice University researchers in the departments of Chemical and Biomolecular Engineering, Chemistry and Materials Science and Nanoengineering and at the Rice Advanced Materials Institute have developed a relatively soft, flexible material that can selectively transport lithium ions — offering a new approach to porous solid electrolytes that combine efficient ion movement with better mechanical adaptability inside a battery. The research was published in Chemical Science.
Weiwen Jiang, Associate Professor, Electrical and Computer Engineering, College of Engineering and Computing (CEC), received funding for the project: “Collaborative Research: CyberTraining: Implementation: Medium: Building a Dual-Expertise Workforce in Quantum Computing and Healthcare Through Dual-State Collaboration.”
Jiang’s primary goal for this project is to establish a sustainable training framework for developing dual expertise in quantum computing and health care applications.
Satellites that navigate by talking to each other slowly lose their sense of direction, because nothing in a purely Earth-orbiting network provides a fixed reference in space.
A new study examines how urban heat affects people in various ways. By combining climate, remote sensing and demographic data with social media activity, the researchers from Geolingual studies were able to determine a threshold beyond which heat becomes an important theme in public discourse.
With the continuous advancement of spaceborne synthetic aperture radar (SAR) technology, L-band SAR has come to play an increasingly important role in Earth observation; however, its imaging, interferometric, and polarimetric performance are susceptible to ionospheric disturbances. In equatorial nighttime data, amplitude streak artifacts induced by equatorial plasma bubbles frequently occur and have traditionally been regarded as interference factors in SAR imaging. Nevertheless, these artifacts essentially carry critical information on ionospheric irregularities and can be exploited to retrieve physical parameters such as scintillation intensity and turbulence spectral indices. Existing methods either rely on comparisons between disturbed and undisturbed images or are limited to preliminary one-dimensional parameter estimation along the track, making it difficult to achieve two-dimensional fine-scale retrieval of scintillation structures, and lacking systematic validation of their spatial correlation with equatorial ionospheric anomalies. Therefore, how to extract the two-dimensional spatial distribution of ionospheric scintillation parameters from amplitude streak artifacts and reveal their intrinsic relationship with regions of enhanced electron density has become an important scientific question in the field of ionospheric remote sensing.