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paixblox-battery-screening

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Tags:
batteries
battery-materials
materials
materials-informatics
engineering
energy
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composite_score
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42.1
77.1
screening_score
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54.8
70.7
energy_wh_kg
float64
21.3
2.38k
safety
float64
67
100
feasibility
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77.2
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Aluminum metal multivalent + Oxygen air cathode
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Aluminum metal multivalent + Oxygen air cathode. Candidate assessment includes estimated energy 1996 Wh/kg, safety 78.4, and feasibility 51.2.
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Aluminum metal multivalent + Oxygen air cathode
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Aluminum metal multivalent + Oxygen air cathode
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Iron metal aqueous anode + Iron air conversion cathode
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Aluminum metal multivalent + Oxygen air cathode
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Aluminum metal multivalent + Oxygen air cathode
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Aluminum metal multivalent + Oxygen air cathode
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Lithium metal + Sulfur conversion cathode
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Aluminum metal multivalent + Oxygen air cathode
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End of preview. Expand in Data Studio

PAIXBLOX Battery Candidate Screening Dataset

Engineering benchmark dataset for computational battery candidate screening, manufacturing readiness assessment, and AI-ready materials evaluation.

PAIXBLOX Battery Candidate Screening Dataset

Overview

The PAIXBLOX Battery Candidate Screening Dataset is an open engineering benchmark designed for computational analysis of battery material candidates.

The dataset contains structured engineering records intended for benchmarking, workflow development, machine learning experiments, retrieval systems, and engineering decision-support research.

All records represent computational screening outputs and are not experimentally validated laboratory measurements.

Dataset Summary

Property Value
Dataset PAIXBLOX Battery Candidate Screening
Format Apache Parquet
Records 120 candidate profiles
Domain Battery Materials Engineering
License PAIXBLOX Attribution License v1.0

Included Fields

Records may contain:

  • Candidate composition
  • Battery chemistry
  • Anode information
  • Cathode information
  • Electrolyte information
  • Separator information
  • Engineering performance metrics
  • Energy density indicators
  • Safety scores
  • Manufacturing readiness indicators
  • Process complexity
  • Supply-chain risk
  • Sustainability indicators
  • Screening confidence
  • Formula provenance
  • Component contribution summaries
  • Public engineering notes
  • Development pathway metadata

Intended Uses

This dataset is intended for:

  • Battery materials research
  • Materials informatics
  • Engineering benchmarking
  • AI and machine learning evaluation
  • Retrieval-Augmented Generation (RAG)
  • Knowledge graph construction
  • Candidate ranking
  • Engineering dashboards
  • Educational demonstrations
  • Prototype decision-support systems

Data Characteristics

  • Structured engineering benchmark objects
  • Apache Parquet format
  • Machine-readable
  • AI-ready
  • Consistent schema
  • Designed for reproducible computational workflows

Limitations

This dataset is provided for research, benchmarking, educational, and software development purposes.

It should not be treated as validated laboratory data or used as the sole basis for manufacturing, safety, regulatory, investment, or deployment decisions.

License

This dataset is released under the PAIXBLOX Attribution License v1.0.

Commercial use, modification, redistribution, and derivative works are permitted with attribution.

PAIXBLOX Attribution License

See the accompanying LICENSE file for the complete license text.

Citation 

PAIXBLOX Battery Candidate Screening Dataset

PAIXBLOX / Civic EcoMill LLC

2025

https://paixblox.com

About PAIXBLOX

PAIXBLOX develops structured engineering datasets, benchmark objects, workflow automation, implementation bundles, and technical knowledge systems for engineering and industrial AI.

Built by Civic EcoMill LLC.

© 2025 PAIXBLOX / Civic EcoMill LLC.
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