Now showing items 3767-3786 of 55740

    • Bench-Stable Nickel Precatalysts with Heck-type Activation 

      Weber, Jessica M.; Longstreet, Ashley R.; Jamison, Timothy F (American Chemical Society (ACS), 2018-08)
      Herein, we report the synthesis and characterization of a new class of air- and moisture-stable phosphine-containing nickel(II) precatalysts, which activate through a Heck-type mechanism. The activities of the precatalysts ...
    • Bench-Top Fabrication of Single-Molecule Nanoarrays by DNA Origami Placement 

      Shetty, Rishabh M.; Brady, Sarah R.; Rothemund, Paul W. K.; Hariadi, Rizal F.; Gopinath, Ashwin (American Chemical Society (ACS), 2021-07)
      Large-scale nanoarrays of single biomolecules enable high-throughput assays while unmasking the underlying heterogeneity within ensemble populations. Until recently, creating such grids which combine the advantages of ...
    • Bench-Top Fabrication of Single-Molecule Nanoarrays by DNA Origami Placement 

      Shetty, Rishabh M; Brady, Sarah R; Rothemund, Paul WK; Hariadi, Rizal F; Gopinath, Ashwin (American Chemical Society (ACS), 2021)
      Large-scale nanoarrays of single biomolecules enable high-throughput assays while unmasking the underlying heterogeneity within ensemble populations. Until recently, creating such grids which combine the advantages of ...
    • Benchmark assessment of the accuracy of several van der Waals density functionals 

      Vydrov, Oleg A.; Van Voorhis, Troy (American Chemical Society, 2012-04)
      The nonlocal correlation functional VV10, developed recently in our group, describes the whole range of dispersion interactions in a seamless and general fashion using only the electron density as input. The VV10 functional ...
    • A benchmark for end-user structured data exploration and search user interfaces 

      García, Roberto; Gil, Rosa; Bakke, Eirik; Karger, David R (Elsevier BV, 2020-12)
      During the years, it has been possible to assess significant improvements in the computational efficiency of Semantic Web search and exploration systems. However, it has been much harder to assess how well different semantic ...
    • A Benchmark for Systematic Generalization in Grounded Language Understanding 

      Ruis, Laura; Andreas, Jacob; Baroni, Marco; Bouchacourt, Diane; Lake, Brenden M (2020)
    • A benchmark study on the thermal conductivity of nanofluids 

      Buongiorno, Jacopo; Prabhat, Naveen; McKrell, Thomas J.; Hu, Lin-Wen; Chen, Gang; e.a. (American Institute of Physics, 2009-11)
      This article reports on the International Nanofluid Property Benchmark Exercise, or INPBE, in which the thermal conductivity of identical samples of colloidally stable dispersions of nanoparticles or “nanofluids,” was ...
    • Benchmarking AlphaFold ‐enabled molecular docking predictions for antibiotic discovery 

      Wong, Felix; Krishnan, Aarti; Zheng, Erica J; Stärk, Hannes; Manson, Abigail L; e.a. (EMBO, 2022)
      Efficient identification of drug mechanisms of action remains a challenge. Computational docking approaches have been widely used to predict drug binding targets; yet, such approaches depend on existing protein structures, ...
    • Benchmarking binding energy calculations for organic structure-directing agents in pure-silica zeolites 

      Schwalbe-Koda, Daniel; Gómez-Bombarelli, Rafael (AIP Publishing, 2021)
      Molecular modeling plays an important role in the discovery of organic structure-directing agents (OSDAs) for zeolites. By quantifying the intensity of host-guest interactions, it is possible to select cost-effective ...
    • Benchmarking in Congenital Heart Surgery Using Machine Learning-Derived Optimal Classification Trees 

      Bertsimas, Dimitris; Zhuo, Daisy; Levine, Jordan; Dunn, Jack; Tobota, Zdzislaw; e.a. (SAGE Publications, 2022)
      <jats:p> Background: We have previously shown that the machine learning methodology of optimal classification trees (OCTs) can accurately predict risk after congenital heart surgery (CHS). We have now applied this methodology ...
    • Benchmarking learned indexes 

      Marcus, R; Stoian, M; Kipf, A; Misra, S; van Renen, A; e.a.
      © 2020, VLDB Endowment. All rights reserved. Recent advancements in learned index structures propose replacing existing index structures, like B-Trees, with approximate learned models. In this work, we present a unified ...
    • Benchmarking learned indexes 

      Marcus, Ryan; Stoian, Mihail; Kipf, Andreas; Misra, Sanchit; van Renen, Alexander; e.a. (VLDB Endowment, 2020)
      © 2020, VLDB Endowment. All rights reserved. Recent advancements in learned index structures propose replacing existing index structures, like B-Trees, with approximate learned models. In this work, we present a unified ...
    • Benchmarking of crewed lunar and mars mission architectures 

      Dolan, Sydney I.; Eiskowitz, Skylar; Crawley, Edward F; Cameron, Bruce Gregory (American Institute of Aeronautics and Astronautics, 2020-11)
      © 2020 The MITRE Corporation. All Rights Reserved. Fuel selection is a strong driver of the mass fraction for many proposed lunar and Mars missions, but fuel technology trends have not been comprehensively evaluated for ...
    • Benchmarking of crewed lunar and mars mission architectures 

      Dolan, Sydney I.; Eiskowitz, Skylar; Crawley, Edward F.; Cameron, Bruce G. (American Institute of Aeronautics and Astronautics, 2020-11-02)
      © 2020 The MITRE Corporation. All Rights Reserved. Fuel selection is a strong driver of the mass fraction for many proposed lunar and Mars missions, but fuel technology trends have not been comprehensively evaluated for ...
    • Benchmarking Potential Based Rewards for Learning Humanoid Locomotion 

      Jeon, Se Hwan; Heim, Steve; Khazoom, Charles; Kim, Sangbae (IEEE, 2023-05-29)
      The main challenge in developing effective reinforcement learning (RL) pipelines is often the design and tuning the reward functions. Well-designed shaping reward can lead to significantly faster learning. Naively formulated ...
    • Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains 

      Liang, Qiaohao; Gongora, Aldair E; Ren, Zekun; Tiihonen, Armi; Liu, Zhe; e.a. (Springer Science and Business Media LLC, 2021-12)
      <jats:title>Abstract</jats:title><jats:p>Bayesian optimization (BO) has been leveraged for guiding autonomous and high-throughput experiments in materials science. However, few have evaluated the efficiency of BO across a ...
    • Benchmarks in Search Markets 

      DUFFIE, DARRELL; DWORCZAK, PIOTR; Zhu, Haoxiang (Wiley, 2017-07)
      We characterize the role of benchmarks in price transparency of over-the-counter markets. A benchmark can raise social surplus by increasing the volume of beneficial trade, facilitating more efficient matching between ...
    • Bending artificial muscle from nylon filaments 

      Mirvakili, Seyed Mohammad; Hunter, Ian (Society of Photo-Optical Instrumentation Engineers (SPIE), 2016-07)
      Highly oriented nylon and polyethylene fibers shrink in length and expand in diameter when heated. Using this property, in this work, for the first time we are introducing a type of bending artificial muscle from nylon ...
    • Bending the Pipeline? Executive Search and Gender Inequality in Hiring for Top Management Jobs 

      Fernandez-Mateo, Isabel; Fernandez, Roberto M (Institute for Operations Research and the Management Sciences (INFORMS), 2016-02)
      We study the sources of women’s underrepresentation in hiring for top management jobs by focusing on the context of executive search. Using data that include proprietary information on 10,970 individuals considered by a ...
    • Beneficial <i>vs.</i> inhibiting passivation by the native lithium solid electrolyte interphase revealed by electrochemical Li<sup>+</sup> exchange 

      Hobold, Gustavo M; Kim, Kyeong-Ho; Gallant, Betar M (Royal Society of Chemistry (RSC), 2023-05-17)
      <jats:p>Electrolytes that achieve highest Li Coulombic efficiency display quantifiably higher rates of electrochemical Li<jats:sup>+</jats:sup> exchange. The effect is attributed to their improved SEI and better-percolated ...