Enhanced magnetic second-harmonic generation in an ultra-compact plasmonic nanocavity
Peer-Reviewed Publication
Updates every hour. Last Updated: 7-Oct-2025 22:11 ET (8-Oct-2025 02:11 GMT/UTC)
A joint team has uncovered how soft, deformable particles, like cells, behave in microfluidic channels. Using precisely fabricated hydrogel particles and simulations on the supercomputer "Fugaku," they demonstrated that particle softness dramatically alters their focusing patterns, deviating significantly from rigid particle behavior. These findings reveal distinct "phase transitions" in focusing, shifting from mid-edge to eight-point, diagonal-edge, and finally center focusing as deformability increases. This breakthrough, explained by a new theoretical model incorporating inertia and deformability, offers crucial insights for designing next-generation microfluidic devices for highly efficient cell sorting and other biomedical applications like early cancer detection. The ability to control particle focusing based on deformability opens exciting possibilities for advanced particle manipulation and separation technologies.
A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials science studies.
The U.S. National Science Foundation and United Kingdom Research and Innovation (UKRI) are investing in eight joint research projects that could open the door to breakthroughs in quantum computing, ultra-precise navigation and secure communications. The effort is supported by $4.7 million from NSF and £4.2 million from UKRI's Engineering and Physical Sciences Research Council (EPSRC). Each project brings together U.S. and U.K. researchers to tackle an underexplored area in science: how quantum information affects chemical reactions and molecular systems, and how that knowledge can be put to use. The UChicago Pritzker School of Molecular Engineering’s research project, funded with more than $636,000, is headed by Prof. David Awschalom and Prof. Giulia Galli, with Prof. Danna Freedman at the Massachusetts Institute of Technology.