The Earth’s magma ocean: Processes and current interpretations from an interdisciplinary perspective
Bibliographic record
Abstract
To celebrate over 55 years of Physics of the Earth and Planetary Interiors providing a venue for communicating advancements in the chemical and dynamical processes that lead to planetary differentiation, we revisit Earth’s magma ocean in light of the seminal works of Ohtani (1983); Abe and Matsui (1986). Models of Earth’s formation suggest a hot initial state in which much of the planet’s interior was substantially, if not entirely, molten. The global-scale molten silicate mantle is referred to as a magma ocean. Because elements of the periodic table show different affinities for liquid, solid, and gaseous phases, the transition from a molten to a solid mantle provides a key window for early chemical differentiation, with profound implications for Earth’s long-term evolution. The magma ocean hypothesis has been extensively studied in the context of the Moon’s evolution. Major advances in our understanding of the lunar magma ocean have been enabled by experimental access to relevant petrological conditions. Pioneering studies by Ohtani (1983); Abe and Matsui (1986); Solomatov and Stevenson (1993c); Abe (1997) explored magma ocean processes in the context of the Earth, and although high-pressure data for Earth’s mantle were limited at the time, these studies correctly anticipated much of the physics now central to early Earth models. Recent developments, including analyses of short-lived isotopic systems, high pressure experiments using diamond anvil cells, and ab-initio calculations — are now providing new constraints on models of Earth’s magma ocean. This review summarizes these recent advances and how they change our understanding of the Earth’s magma ocean evolution. We also discuss the current challenges in developing an interdisciplinary yet coherent picture of the Earth’s earliest evolutionary stages.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".