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Tomographic Volumetric Additive Manufacturing: Using Spatiotemporally Sculpted Light to Solidify an Entire Volume of Photopolymer Resin at Once, Enabling Support-Free, Millisecond-Scale 3D Fabrication.

Tomographic Volumetric Additive Manufacturing: Using Spatiotemporally Sculpted Light to Solidify an Entire Volume of Photopolymer Resin at Once, Enabling Support-Free, Millisecond-Scale 3D Fabrication.

Conventional 3D printing, or additive manufacturing (AM), has fundamentally changed prototyping and manufacturing by building objects layer-by-layer. However, this sequential approach suffers from inherent limitations: it is often slow, requires extensive support structures for complex geometries, and introduces anisotropic mechanical properties due to the layered interfaces. A revolutionary new paradigm,

Generative AI for De Novo Protein Design: From Latent Space to Laboratory

Generative AI for De Novo Protein Design: From Latent Space to Laboratory

The ability to design proteins from first principles—'de novo' design—represents a grand challenge in biotechnology and medicine. For decades, scientists have sought to create bespoke proteins tailored for specific functions, from high-affinity therapeutics to novel industrial enzymes. This endeavor, however, has been profoundly difficult, limited by

Axion Haloscopes as a Probe for Dark Matter: Using Resonant Microwave Cavities in High Magnetic Fields to Detect the Conversion of Galactic Axions into Photons

Axion Haloscopes as a Probe for Dark Matter: Using Resonant Microwave Cavities in High Magnetic Fields to Detect the Conversion of Galactic Axions into Photons

The existence of dark matter is one of the most profound puzzles in modern physics, inferred from its gravitational effects on galaxies and the large-scale structure of the universe, yet its composition remains unknown. Among the leading candidates is the axion, a hypothetical elementary particle originally proposed to solve the

Sonocatalytic Degradation of Per- and Polyfluoroalkyl Substances (PFAS): Leveraging Acoustic Cavitation to Break Strong Carbon-Fluorine Bonds in Environmental Remediation

Sonocatalytic Degradation of Per- and Polyfluoroalkyl Substances (PFAS): Leveraging Acoustic Cavitation to Break Strong Carbon-Fluorine Bonds in Environmental Remediation

Per- and polyfluoroalkyl substances (PFAS) represent a class of thousands of synthetic chemicals characterized by chains of carbon atoms saturated with fluorine atoms. The carbon-fluorine (C-F) bond is one of the strongest in organic chemistry, granting these compounds exceptional thermal and chemical stability. This has made them invaluable in a

Organoid Intelligence (OI): Integrating Human Brain Organoids with Silicon Microchips to Create Novel Biocomputing Systems

Organoid Intelligence (OI): Integrating Human Brain Organoids with Silicon Microchips to Create Novel Biocomputing Systems

The convergence of biotechnology and information technology has opened a frontier that was, until recently, the exclusive domain of science fiction: the creation of biocomputing systems. At the heart of this revolution is Organoid Intelligence (OI), an emerging field predicated on the integration of self-assembling 3D human brain organoids with

Magnetoencephalography with Diamond Nitrogen-Vacancy Centers: Using Quantum Defects to Non-Invasively Map Neural Oscillations at Unprecedented Spatiotemporal Resolution

Magnetoencephalography with Diamond Nitrogen-Vacancy Centers: Using Quantum Defects to Non-Invasively Map Neural Oscillations at Unprecedented Spatiotemporal Resolution

Magnetoencephalography (MEG) stands as a powerful, non-invasive neuroimaging technique that directly measures the faint magnetic fields generated by synchronous neural activity. It offers superior temporal resolution to functional magnetic resonance imaging (fMRI), tracking brain processes on a millisecond scale. However, conventional MEG technology is fundamentally constrained by its reliance on

Closed-Loop Autonomous Systems for Accelerated Materials Discovery: Integrating Robotic Synthesis, In-Situ Characterization, and AI-Driven Hypothesis Generation

Closed-Loop Autonomous Systems for Accelerated Materials Discovery: Integrating Robotic Synthesis, In-Situ Characterization, and AI-Driven Hypothesis Generation

The discovery of advanced materials has historically been the engine of human progress, from the Stone Age to the Silicon Age. However, the traditional process of materials discovery is notoriously slow, expensive, and reliant on a combination of intuition, serendipity, and painstaking trial-and-error. In a world facing urgent challenges in