◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Arindam Debnath

4 papers hereh-index 599 citations7 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci4

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedGenerative deep learning as a tool for inverse design of high-entropy refractory alloys

52 citations · 55 across the 4 of their papers we have counts for

collaborators
Showing 2021Show all

1 paper · 1 filter

cond-mat.mtrl-sci2021★ 52 cited

Generative deep learning as a tool for inverse design of high-entropy refractory alloys

Arindam Debnath, Adam M. Krajewski, Hui Sun +9

Generative deep learning is powering a wave of new innovations in materials design. In this article, we discuss the basic operating principles of these methods and their advantages…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.