cond-mat.mtrl-sci · 2026-06-08 · No. 17

Materials Science, 2026-06-08.

1 new papers in cond-mat.mtrl-sci. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Reactivity-Informed Machine Learning for Performance Prediction and Design Space Exploration of Alkali-Activated Slag

    Qiyao He, Zhanzhao Li, Kai Gong

    cond-mat.mtrl-sci · cs.LG

    Establishing quantitative relationships among mix design, raw material properties, curing conditions, and performance remains a long-standing challenge in cementitious materials, particularly for alkali-activated materials with variable precursor and activator chemistry. Here, we curated the largest literature-derived alkali-activated slag (AAS) dataset to date, comprising over 3100 compressive strength records, 155 chemically distinct ground...

    arxiv.org/abs/2606.06765 · PDF

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