يعرض 141 - 160 نتائج من 18,354 نتيجة بحث عن '(( b largest decrease ) OR ((( c larger decrease ) OR ( ((c large) OR (via large)) increases ))))', وقت الاستعلام: 0.54s تنقيح النتائج
  1. 141

    Active Diffusion of Self-Propelled Particles in Flexible Polymer Networks حسب Yeongjin Kim (10878837)

    منشور في 2022
    "…However, when the particle size is increased to be comparable to the mesh size, the active particles explore the polymer network via the trapping-and-hopping mechanism. …"
  2. 142

    Active Diffusion of Self-Propelled Particles in Flexible Polymer Networks حسب Yeongjin Kim (10878837)

    منشور في 2022
    "…However, when the particle size is increased to be comparable to the mesh size, the active particles explore the polymer network via the trapping-and-hopping mechanism. …"
  3. 143

    Active Diffusion of Self-Propelled Particles in Flexible Polymer Networks حسب Yeongjin Kim (10878837)

    منشور في 2022
    "…However, when the particle size is increased to be comparable to the mesh size, the active particles explore the polymer network via the trapping-and-hopping mechanism. …"
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    Data from: Large subsurface carbon stocks in a long-term no-tillage site are vulnerable to potential mineralization حسب Qiuping Peng (20147290)

    منشور في 2024
    "…</p> <p>Results showed that SOC concentrations declined with depth, but the fraction that was mineralized in 350-day laboratory incubations increased with depth. We found 51% larger stocks of readily mineralized SOC stocks for the 30-153 cm depth (18.3 ± 4 Mg C ha<sup>-1</sup>) compared to 0-30 cm (12.1 ± 1.6 Mg C ha<sup>-1</sup>), when summing the kinetic pools that had transit times of up to 2 years. …"
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  13. 153

    Relative energies of increasingly large [n]helicenes by means of high-level quantum chemical methods Item حسب Amir Karton (15683966)

    منشور في 2023
    "…Relative energies of increasingly large [<i>n</i>]helicenes by means of high-level quantum chemical methods. …"
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  19. 159

    Predicting Density Functional Theory-Quality Nuclear Magnetic Resonance Chemical Shifts via Δ‑Machine Learning حسب Pablo A. Unzueta (9970428)

    منشور في 2021
    "…It can predict <sup>1</sup>H, <sup>13</sup>C, <sup>15</sup>N, and <sup>17</sup>O chemical shieldings with root-mean-square errors of 0.11, 0.70, 1.69, and 2.47 ppm, respectively. …"
  20. 160