TRV-2026-1119Published recordPeer-reviewed

Carbon dioxide hydrogenation on copper and nickel catalysts <i>via</i> a conformal sampling approach

We present a computational workflow, the Conformal Sampling of Catalytic Processes (CSCP) approach, and its application to the case of heterogeneous hydrogenation/reduction of carbon dioxide (CO 2 ) on copper and nickel catalysts. CO 2 activation is of critical importance for a sustainable global future and one of the major reactions for which sustainable routes must be found urgently. We use the fcc(100) facet of Cu as a worked-out case, and exhaustively derive at the DFT level its reaction mechanisms. We then…

Climate · Good Space (a documented gain) · first published 2026-09-17 · v2 · read the full story · raw data (JSON)

The gain

In computer benchmarks, AI models of CO2 hydrogenation had maximum errors of 0.05 eV on copper and 0.03 eV on nickel, and the copper work was carried over to nickel rapidly.

What this doesn’t fix

In some steps the MLIP deviates from reference DFT because it explores different pathways, indicating mechanism divergence despite maintained absolute accuracy.

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Truvace Impact Record TRV-2026-1119, v2: “Carbon dioxide hydrogenation on copper and nickel catalysts <i>via</i> a conformal sampling approach.” Truvace, 2026-11-04. /record/TRV-2026-1119 (accessed on the day you copy it). sha256 897417096144f8e3…

Change history

Every change made to this record since it was first published, and why.

  1. Revisedv2897417096144…

    Editorial pass: sharper headline; gain/problem restated as concrete outcomes.

  2. Publishedv1eb64e1da3165…

    Certified into the record

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