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Bridging molecular-scale interfacial science with continuum-scale models

Journal Article · · Nature Communications
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Temple Univ., Philadelphia, PA (United States)
  3. Northwestern Univ., Evanston, IL (United States)
  4. Univ. of Alberta, Edmonton, AB (Canada)
  5. Univ. of California, San Diego, CA (United States)
  6. Washington Univ., St. Louis, MO (United States)
  7. Georgia State Univ., Atlanta, GA (United States)
  8. Univ. of Texas at El Paso, TX (United States)

Solid–water interfaces are crucial for clean water, conventional and renewable energy, and effective nuclear waste management. However, reflecting the complexity of reactive interfaces in continuum-scale models is a challenge, leading to oversimplified representations that often fail to predict real-world behavior. This is because these models use fixed parameters derived by averaging across a wide physicochemical range observed at the molecular scale. Recent studies have revealed the stochastic nature of molecular-level surface sites that define a variety of reaction mechanisms, rates, and products even across a single surface. To bridge the molecular knowledge and predictive continuum-scale models, we propose to represent surface properties with probability distributions rather than with discrete constant values derived by averaging across a heterogeneous surface. This conceptual shift in continuum-scale modeling requires exponentially rising computational power. By incorporating our molecular-scale understanding of solid–water interfaces into continuum-scale models we can pave the way for next generation critical technologies and novel environmental solutions.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences & Biosciences Division (CSGB)
Grant/Contract Number:
NA0003525; SC0023342; SC0023390
OSTI ID:
2397387
Report Number(s):
SAND--2024-08818J
Journal Information:
Nature Communications, Journal Name: Nature Communications Journal Issue: 1 Vol. 15; ISSN 2041-1723
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

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