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researcher

Arash Khajeh

2 papers hereh-index 252 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph2

identity via Semantic Scholar / OpenAlex

most citedDe novo Design of Polymer Electrolytes with High Conductivity using GPT-based and Diffusion-based Generative Models

57 citations · 84 across the 2 of their papers we have counts for

collaborators

2 papers

physics.chem-ph2023★ 57 cited

De novo Design of Polymer Electrolytes with High Conductivity using GPT-based and Diffusion-based Generative Models

Zhenze Yang, Weike Ye, Xiangyun Lei +3

Solid polymer electrolytes hold significant promise as materials for next-generation batteries due to their superior safety performance, enhanced specific energy, and extended life…

physics.chem-ph2023★ 27 cited

A Self-Improvable Polymer Discovery Framework Based on Conditional Generative Model

Arash Khajeh, Xiangyun Lei, Weike Ye +3

In this work, we introduce a polymer discovery platform to efficiently design polymers with tailored properties, exemplified by the discovery of high-performance polymer electrolyt…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.