LabCompass

Tejas G. Murthy

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2006
Granular flow and fluidized bedsGeotechnical Engineering and Soil MechanicsLandslides and related hazardsGeotechnical Engineering and Underground StructuresAdvanced Surface Polishing Techniques

Publications

90

Citations

1,484

Est. group size

—

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

Tejas G. Murthy works on the mechanics of granular and geological materials, studying how sand, cemented soils, and other particle-based systems deform, fracture, and transmit forces under stress. His work combines laboratory experiments, imaging, and micromechanical analysis to understand phenomena like shear banding, soil cementation, indentation, and cutting in soft rocks, with connections to fluid-particle interactions. This research is relevant to geotechnical engineering, soil mechanics, and the physics of granular materials.

Granular materials mechanicsGeotechnical engineering and soil behaviorShear localization and force networksCemented and cohesive granular materialsSoft rock cutting and drilling

Publication output has fluctuated over the last decade, dipping around 2022 but showing renewed activity in 2024-2026, with a 5-year average of about 4-5 papers per year.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.4/year recently
2017: 9 publications9172018: 4 publications182019: 5 publications192020: 5 publications202021: 6 publications212022: 2 publications222023: 5 publications232024: 6 publications242025: 3 publications252026: 6 publications26
Recent publications
Publishes in
  • Granular Matter×4
  • International Journal of Solids and Structures×3
  • EPJ Web of Conferences×3
  • Scientific Reports×2
  • Soft Matter×2
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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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