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Acid-Free Synthesis of Electrocatalyst Technology
The present invention describes a novel method for acid-free pyrolytic synthesis of metal-nitrogen-carbon (M-N-C) catalysts for use in fuel cell/energy conversion applications. This method allows for rapid production of M-N-C catalysts that exhibit high activity and selectivity for CO2 electroreduction without needing harsh acids or bases.
(SD2021-154) A new platform for the controlled entrapment and release of molecular cargo
Researchers from UC San Diego have invented a new form of materials, polymer-integrated crystals (PIX), which combine the structural order of protein crystals with the dynamic, stimuli-responsive properties of synthetic polymers. The inventors have shown that the crystallinity, flexibility, and chemical tunability of PIX can be exploited to encapsulate guest proteins with high loading efficiencies. And, the electrostatic host-guest interactions enable reversible, pH-controlled uptake/release of guest proteins as well as the mutual stabilization of the host and the guest, thus creating a uniquely synergistic platform toward the development of functional biomaterials and the controlled delivery of biological macromolecules.
Method To Inverse Design Mechanical Behaviors Using Artificial Intelligence
Metamaterials are constructed from regular patterns of simpler constituents known as unit cells. These engineered metamaterials can exhibit exotic mechanical properties not found in naturally occurring materials, and accordingly they have the potential for use in a variety of applications from running shoe soles to automobile crumple zones to airplane wings. Practical design using metamaterials requires the specification of the desired mechanical properties based on understanding the precise unit cell structure and repeating pattern. Traditional design approaches, however, are often unable to take advantage of the full range of possible stress-strain relationships, as they are hampered by significant nonlinear behavior, process-dependent manufacturing errors, and the interplay between multiple competing design objectives. To solve these problems, researchers at UC Berkeley have developed a machine learning algorithm in which designers input a desired stress-strain curve that encodes the mechanical properties of a material. Within seconds, the algorithm outputs the digital design of a metamaterial that, once printed, fully encapsulates the desired properties from the inputted stress-strain curve. This algorithm produces results with a fidelity to the desired curve in excess of 90%, and can reproduce a variety of complex phenomena completely inaccessible to existing methods.
Polysaccharide A-Based Particulate Systems For Attenuation Of Autoimmunity, Allergy and Transplant Rejection
Researchers at the University of California, Davis have developed a customizable polysaccharide that can be added to nanoparticles to reduce their rejection by the human immune system.
Functionalized Sila-Adamantane
Brief description not available
Multicolor Photonic Pigments From Magnetically Assembled Nanorod Arrays
Magnetochromatic Spheres
Silicon And Carbon Nanocomposite Spheres With Enhanced Electrochemical Performance For Full Cell Lithium Ion Batteries
Carbon Nanotube Infrared Detector
Chromium Complexes Of Graphene
Facile Synthesis Of Ni Nanofoam Architectures For Applications In Li-Ion Batteries
Silicon From Waste Glass For Energy Storage Applications
Free-Standing Ni-Nio Nanofiber Cloth Anode For High Capacity And High Rate Li-Ion Batteries
Silicon Nanofiber Paper Battery
Porous Silicon Nanosphere Battery
Hybrid Nanostructured Materials For Rechargeable Energy Storage Technologies
Nanostructured Ink Material For Electronic And Energy Storage Devices And Methods Of Making And Using Thereof
Hybrid Approaches For Enhanced Energy Storage Devices And Methods Of Making And Using There Of
High Resolution Metrology Of Large Area Graphene Sheets And Methods Of Making And Using Thereof
Bicontinuous Composite Nano-Mm Sized Particles, 1D, 2D And 3D Structures For Impact Resistance And Energy Dissipation
Synthesis Of Metal Oxide And Nitride Hollow Nano And Microspheres With Tunable Particle Size, Crystallinity, Porosity For Energy And Env. Applications
Magnetically Tunable Photonic Crystals Based On Anisotropic Nanostructures
Highly Tunable Magnetic Liquid Crystals
Templated Synthesis Of Metal Nanorods
Magnetically Responsive Photonic Nanochains