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Related Concept Videos

Sulfur Assimilation01:20

Sulfur Assimilation

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Sulfur is an essential element in biological systems, contributing to synthesizing key biomolecules, including amino acids such as cysteine and methionine, and cofactors such as coenzyme A and biotin. Microorganisms primarily assimilate sulfur as sulfate (SO₄²⁻) from the environment, which must undergo a series of biochemical transformations before it can be incorporated into cellular components. As sulfate is highly oxidized, it must undergo assimilatory sulfate reduction to...
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Scaling01:26

Scaling

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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
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A Band-Matching Descriptor Breaks Scaling Relations for Sulfur Electrocatalysts.

Xin Jiang1,2, Wenjia Qu1,2,3, Ruiqing Ye1,2

  • 1Nanoyang Group, Tianjin Key Laboratory of Advanced Carbon and Electrochemical Energy Storage, State Key Laboratory of Chemical Engineering and Low-Carbon Technology, School of Chemical Engineering and Technology, National Industry-Education Platform for Energy Storage, and Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, Tianjin 300072, China.

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Researchers discovered a new predictive descriptor for lithium-sulfur (Li-S) battery catalysts based on d/p band matching. This approach enhances sulfur redox kinetics, improving battery performance and longevity beyond traditional methods.

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Area of Science:

  • Materials Science
  • Electrochemistry
  • Energy Storage

Background:

  • Rational catalyst design for lithium-sulfur (Li-S) batteries is hindered by the adsorption-activity trade-off.
  • Existing descriptors often exhibit volcano-type behavior, limiting predictive power for sulfur redox reactions.

Purpose of the Study:

  • To identify a new predictive descriptor for transition-metal sulfide catalysts in Li-S batteries.
  • To overcome the limitations of conventional descriptors and the adsorption-activity trade-off.

Main Methods:

  • Investigated the d/p band-matching ratio between metal centers and surface sulfur atoms in transition-metal sulfides.
  • Tuned the band-matching ratio to modulate lithium polysulfide interaction with catalyst surfaces.
  • Correlated band-matching ratio with sulfur reduction reaction (SRR) and sulfur evolution reaction (SER) overpotentials.

Main Results:

  • The d/p band-matching ratio dictates catalytic activity, moving beyond the adsorption-activity trade-off.
  • NbS2, with a 99.2% band-matching ratio, achieved a low bifunctional overpotential of 0.70 V.
  • Li-S batteries with NbS2 demonstrated high initial capacity (10.98 mAh cm-2) and excellent retention (90.29% after 100 cycles).

Conclusions:

  • Band matching is established as a general principle for sulfur electrocatalysis.
  • This provides a predictive design rule for metal-sulfur batteries, transcending classical scaling relations.