LabCompass

Conner Fear

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2017
Advancements in Battery MaterialsAdvanced Battery Technologies ResearchAdvanced Battery Materials and TechnologiesExtraction and Separation ProcessesFault Detection and Control Systems

Publications

37

Citations

1,109

Est. group size

~2

Recurring co-author estimate

Active years

8

Publishing since 2017

Research summary
AI-generated

Conner Fear works on lithium-ion battery technology, focusing on how batteries degrade, fail, and are affected by conditions like thermal gradients and abnormal electrical stress such as overdischarge or short circuits. This research aims to help improve battery safety and durability, which is relevant to applications like electric vehicles and portable electronics.

Lithium-ion battery degradationBattery thermal behaviorBattery safety and failure modesBattery materialsFault detection in energy storage systems

Publication output rose to a peak around 2020-2021 and has since become more sporadic, with lower and uneven activity through 2024.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.2/year recently
2017: 1 publication172018: 4 publications182019: 3 publications192020: 7 publications202021: 11 publications11212022: 5 publications222023: 1 publication232024: 5 publications242526
Recent publications
  • Directionality of thermal gradients in Li-ion batteries dictates diverging degradation modes

    Iowa State University Digital Repository (Iowa State University) · 2021

  • Overdischarge and External Short Behavior of Lithium-Ion Batteries

    OakTrust (Texas A&M University Libraries) · 2017

Publishes in
  • ECS Meeting Abstracts×14
  • Journal of The Electrochemical Society×4
  • ACS Applied Materials & Interfaces×3
  • Cell Reports Physical Science×3
  • Energy storage materials×3
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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