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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Extreme Magneto-transport of Bulk Carbon Nanotubes in Sorted Electronic Concentrations and Aligned High Performance Fiber
We explored high-field (60 T) magneto-resistance (MR) with two carbon nanotube (CNT) material classes: (1) unaligned single-wall CNTs (SWCNT) films with controlled metallic SWCNT concentrations and doping degree and (2) CNT fiber with aligned, long-length microstructure. All unaligned SWCNT films showed localized hopping transport where high-field MR saturation definitively supports spin polarization instead of a more prevalent wave function shrinking mechanism. Nitric acid exposure induced an insulator to metal transition and reduced the positive MR component. Aligned CNT fiber, already on the metal side of the insulator to metal transition, had positive MR without saturation and was assigned to classical MR involving electronic mobility. Subtracting high-field fits from the aligned fiber’s MR yielded an unconfounded negative MR, which was assigned to weak localization. It is concluded that fluctuation induced tunnelling, an extrinsic transport model accounting for most of the aligned fiber’s room temperature resistance, appears to lack MR field dependence.
Automated detection and sorting of microencapsulation via machine learning
We automated a traditionally labor-intensive, yet widely-used capsule production system.
Electrostatic-driven self-sorting and nanostructure speciation in self-assembling tetrapeptides
Abstract not provided
Focusing, sorting, and separating microplastics by serial faradaic ion concentration polarization
Electric field gradients formed by electrochemical processes at bipolar electrodes continuously direct the flow of charged objects in microfluidic devices.
A flexible kinetic assay efficiently sorts prospective biocatalysts for PET plastic subunit hydrolysis
We have developed a colorimetric assay for the high throughput detection of enzymatic ester hydrolysis of PET plastic monomers, applied in a microplate format.
A library of vinyl phosphonate anions dimerize with cyanostars, form supramolecular polymers and undergo statistical sorting
Stacking the deck in our favor. We make a single suit of anions with different faces but all assembling the same way inside cyanostars. With this strong hand, we play two cards together to form a supramolecular copolymer and beat solubility.
Ultrafast sorting: Excimeric π–π stacking distinguishes pyrene-N-methylacetamide isomers on the ultrafast time scale
Pyrene based molecules are inclined to form excimers through self-association upon photoexcitation. In this work, the pyrene core is functionalized with N-methylacetamide group at the position 1 or 2, to develop pyren-1-methylacetamide (PyMA1) and pyren-2- methylacetamide (PyMA2), respectively. The introduction of methylacetamide group was believed to help having hydrogen bonded excimers in close aggregation. Upon photoexcitation, PyMA1 and PyMA2, at 1.0mM in toluene, have formed predominantly static and dynamic excimers, respectively. The transient absorption (TA) measurements over fs-ps regime (fs-TA) showed that the formation of static excimers is an ultrafast process (~560fs) whereas, the dynamic excimers formed in much slower time scale (~65ps). Finally, single crystal X-ray diffraction studies show that for PyMA2 the overlap between the pyrene moieties (~42%) are better than PyMA1 (~17%) in ground state at 80K, which also reflected in the respective lifetimes and population percentages of excimers.
A strong nonequilibrium bound for sorting of cross-linkers on growing biopolymers
Significance Understanding the connection between microscopic driving forces in biological systems and their emergent structures remains an outstanding challenge. We tackle this problem by deriving a fluctuation–response bound in the context of actin polymerization and bundling and verify its robustness far from equilibrium through simulation. Our results show how actin polymerization, molecular fluxes of cross-linker binding, and the morphology of the growing bundle are associated quantitatively; when the bound is saturated, it becomes a nonequilibrium linear-response relation. Molecular driving forces are difficult to measure directly in biological systems, and this work represents a first step toward estimating them from experimentally accessible quantities such as molecular fluxes and compositions.
Sorting for secreted molecule production using a biosensor-in-microdroplet approach
Significance The design–build–test cycle of metabolic engineering is swiftly becoming test limited owing to advances in DNA synthesis and library design. At the same time, improving extracellular production requires high-throughput studies to detect extracellular (not intracellular) content. Traditional approaches that utilize chromatography-based analysis or plate-based fluorescence assays are relatively throughput limited and require a high degree of liquid handling. These limitations are avoided here by creating a generalizable approach for small molecule production screening. Namely, this paradigm combines “off-the-shelf” biosensors with large library screening from producing cells in a cell-type agnostic manner.
Structure of the Bacillus anthracis Sortase A Enzyme Bound to Its Sorting Signal
Not Available
Spectral photon sorting for large-scale Cherenkov and scintillation detectors
Not provided.
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting.
Abstract not provided.
Reactive Power: sorted, perhaps
The measurement of reactive power has been challenging for over a century. By the 1920s, the IEC and the AIEE were seeking new definitions for reactive power, specifically to handle distorted waveforms and unbalanced systems. Solutions had not and have not been found. This paper shows there are two aspects to the problem. First, the conceptual underpinning of reactive power provides a very shaky foundation for the design of an instrument. Second, the kind of instrument needed is one that has been largely unrecognized in the power engineering field. It is an operational measurement. These aspects of the measurement have been taken into account in IEEE Standard 1459, presently undergoing revision by a working group of the IEEE PES Power System Instrumentation and Measure¬ments Committee.
Adaptive Visual Sort and Summary of Micrographic Images of Nanoparticles for Forensic Analysis
Forensic analysis of nanoparticles is often conducted through the collection and identifi- cation of electron microscopy images to determine the origin of suspected nuclear material. Each image is carefully studied by experts for classification of materials based on texture, shape, and size. Manually inspecting large image datasets takes enormous amounts of time. However, automatic classification of large image datasets is a challenging problem due to the complexity involved in choosing image features, the lack of training data available for effective machine learning methods, and the availability of user interfaces to parse through images. Therefore, a significant need exists for automated and semi-automated methods to help analysts perform accurate image classification in large image datasets. We present INStINCt, our Intelligent Signature Canvas, as a framework for quickly organizing image data in a web based canvas framework. Images are partitioned using small sets of example images, chosen by users, and presented in an optimal layout based on features derived from convolutional neural networks.