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Integrated microfluidic platforms that combine automated sample preparation with on-chip nucleic acid amplification tests enable rapid, accurate molecular diagnostics at home for improved preventive medicine and biosecurity.
Research uses unique catalysts and clean energy to lower atmospheric CO2. A new type of graphene-based catalyst, employing machine learning and theory, shows optimal results.
Researchers present the first fully roll-to-roll processed flexible Giant Magnetoresistance (GMR) thin-films with large-area deposition approach providing high-yield of magnetoresistive material.
Researcheres have developed a groundbreaking method for high-throughput mechanical exfoliation, enabling low-cost production of van der Waals nanosheets. The technique offers a significant advancement in the scalable fabrication of low-cost devices while maintaining excellent performance.
Researchers are advancing high-density memory storage with an innovative method to form block copolymer structures. By pushing boundaries with unique tetragonally packed inverted cylinders, these novel structures bring us one step closer to ultra-compact future memory devices.
A novel technique for paper-based microfluidics integrates electrodes into paper-based test strips through laser-induced pyrolysis, enhancing speed, sensitivity, and accuracy.
Combining innovative hydrogel technology and architectural design, these windows offer improved temperature regulation and significant energy savings - a major stride towards a greener future.
Discover how machine learning and data-driven approaches are revolutionizing the design of soft materials like polymers and rubbers, making them more efficient and adaptable to various applications.