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scienceentity · one source so far

lithium

for materials scientists

Coolingarxiv
Signal score
0
as of 44d ago
Live items
1
Trajectory
Too early
needs a few more snapshots

Why this scored 0

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+0.0 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.6 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty1.7 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite-1.1 → clamped to 0

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    17

    A Density-Matrix Framework for Electronic-Structure Analysis of Functional-Group and Salt Effects in Lithium-Metal Electrolytes

    Lithium electrolyte analysis · for materials scientists

    arxivEmergingscience44d ago
  2. 2
    8

    Japan develops a method to recover up to 90% of lithium from used EV batteries

    Lithium recovery method · for sustainability teams

    hackernewsSteadyhardware59d ago