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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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At least 1,423 records · Page 79
All sourcesNASA NTRSDOE OSTI
DOE OSTI2023

PyApprox: A software package for sensitivity analysis, Bayesian inference, optimal experimental design, and multi-fidelity uncertainty quantification and surrogate modeling

PyApprox is a Python-based one-stop-shop for probabilistic analysis of numerical models such as those used in the earth, environmental and engineering sciences. Easy to use and extendable tools are provided for constructing surrogates, sensitivity analysis, Bayesian inference, experimental design, and forward uncertainty quantification. The algorithms implemented represent a wide range of methods for model analysis developed over the past two decades, including recent advances in multi-fidelity approaches that use multiple model discretizations and/or simplified physics to significantly reduce the computational cost of various types of analyses. An extensive set of Benchmarks from the literature is also provided to facilitate the easy comparison of new or existing algorithms for a wide range of model analyses. Here, this paper introduces PyApprox and its various features, and presents results demonstrating the utility of PyApprox on a benchmark problem modeling the advection of a tracer in groundwater.

54 ENVIRONMENTAL SCIENCES↗
DOE OSTI2025

An innovative radial gradient material design using hot isostatic pressing for applications in extreme environments

Functionally graded materials (FGMs) are highly advanced continuous or discontinuous structures whose structural and material properties vary along a singular geometric dimension either in the axial or radial direction. Here, the radial gradient FGM design makes for an optimal structural design to incorporate a bi-metallic structure with a copper-based high entropy alloy (Cu-HEA) with good mechanical properties and high irradiation resistance, and Chromium (Cr) with great corrosion resistance. This study focuses on the experimental design of a metal powder loading mechanism to fabricate a bi-metallic radial gradient structure using Cu-HEA and 99.9 % pure Cr metal powders. The powder loading strategy uses custom-designed concentric cylindrical dividers to separate the individual compositions. Two benchtop trial runs were performed for design optimization. The optimized design was then implemented to eventually load the HEA and Cr powders for consolidation via powder metallurgy hot isostatic pressing (PM-HIP). The electron microscopy analysis reveals the successful fabrication of the radial gradient structure with the chemical mapping analysis, demonstrating the gradual composition shift from the HEA at the center to the pure-Cr at the periphery via a three-step gradient.

High Entropy Alloys (HEAs)↗
DOE OSTI2013

Design and optimization of stepped austempered ductile iron using characterization techniques

Conventional characterization techniques such as dilatometry, X-ray diffraction and metallography were used to select and optimize temperatures and times for conventional and stepped austempering. Austenitization and conventional austempering time was selected when the dilatometry graphs showed a constant expansion value. A special heat color-etching technique was applied to distinguish between the untransformed austenite and high carbon stabilized austenite which had formed during the treatments. Finally, it was found that carbide precipitation was absent during the stepped austempering in contrast to conventional austempering, on which carbide evidence was found. - Highlights: • Dilatometry helped to establish austenitization and austempering parameters. • Untransformed austenite was present even for longer processing times. • Ausferrite formed during stepped austempering caused important reinforcement effect. • Carbide precipitation was absent during stepped treatment.

36 MATERIALS SCIENCE↗
DOE OSTI2019

High-Resolution Structure of ClpC1-Rufomycin and Ligand Binding Studies Provide a Framework to Design and Optimize Anti-Tuberculosis Leads

Addressing the urgent need to develop novel drugs against drug-resistant Mycobacterium tuberculosis (M. tb) strains, ecumicin (ECU) and rufomycin I (RUFI) are being explored as promising new leads targeting cellular proteostasis via the caseinolytic protein ClpC1. Details of the binding topology and chemical mode of (inter)action of these cyclopeptides help drive further development of novel potency-optimized entities as tuberculosis drugs. ClpC1 M. tb protein constructs with mutations driving resistance to ECU and RUFI show reduced binding affinity by surface plasmon resonance (SPR). Despite certain structural similarities, ECU and RUFI resistant mutation sites did not overlap in their SPR binding patterns. SPR competition experiments show ECU prevents RUFI binding, whereas RUFI partially inhibits ECU binding. The X-ray structure of the ClpC1-NTD-RUFI complex reveals distinct differences compared to the previously reported ClpC1-NTD-cyclomarin A structure. Surprisingly, the complex structure revealed that the epoxide moiety of RUFI opened and covalently bound to ClpC1-NTD via the sulfur atom of Met1. Furthermore, RUFI analogues indicate that the epoxy group of RUFI is critical for binding and bactericidal activity. Overall, the outcomes demonstrate the significance of ClpC1 as a novel target and the importance of SAR analysis of identified macrocyclic peptides for drug discovery.

59 BASIC BIOLOGICAL SCIENCES↗