SAN ANTONIO — June 23, 2025 — Southwest Research Institute (SwRI) and The University of Texas at Austin (UT Austin) have evaluated a promising approach to improve long-term carbon storage in depleted oil and gas reservoirs. The team proposes using foam-entrapped supercritical carbon dioxide (sCO₂) to prevent stored and captured carbon from moving back to the surface. The project is supported by the Energize program, a joint effort between SwRI and UT Austin to enhance scientific collaboration between the two institutions.

An international team of scientists led by Rice University’s Pengcheng Dai has confirmed the existence of emergent photons and fractionalized spin excitations in a rare quantum spin liquid. Published in Nature Physics on June 19, their findings identify the crystalline compound cerium zirconium oxide (Ce₂Zr₂O₇) as a clear, 3D realization of this exotic state of matter.

In joint research with The University of Tokyo (UTokyo) and Nagoya University, National Institute for Materials Science (NIMS) developed a new material "thermoelectric permanent magnet" exhibiting extremely high transverse thermoelectric conversion performance, and achieved transverse thermoelectric generation with a power density of 56.7 mW/cm² around room temperature in a thermoelectric-permanent-magnet-based module. When converted into a value per applied temperature gradient, this is not only the world’s highest power density among transverse thermoelectric modules, but a performance even comparable to commercial longitudinal thermoelectric modules. This achievement is expected to lead to thermal energy harvesting and management technologies that can be utilized everywhere magnets are used. This research result was published in Energy & Environmental Science on March 18, 2025.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at Institute of Science Tokyo, Japan. This breakthrough framework utilizes an innovative cross-partition message quantization technique and a novel training algorithm to significantly reduce memory demands and increase computational and energy efficiency. 

Remote-controlled microflow using light-controlled state transitions within DNA condensates has been reported by scientists from Institute of Science Tokyo, Japan. By switching between ultraviolet light (UV) and visible light irradiation, the researchers demonstrated that the novel DNA motifs containing azobenzene can dissociate or reassemble.  Furthermore, localized photo-switching within a DNA liquid condensate generated two distinct directional motions. This study can fuel the development of innovative fluid-based diagnostic chips and molecular computers.