◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Mahmood Mahmoodi-Eshkaftaki

2 papers hereh-index 13428 citations38 works total

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

author position
  • first author2

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

fields
  • q-bio.QM2

identity via Semantic Scholar / OpenAlex

most citedDynamic optimization of volatile fatty acids to enrich biohydrogen production using a deep learning neural network

28 citations · 56 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.QM2022★ 28 cited

Dynamic optimization of volatile fatty acids to enrich biohydrogen production using a deep learning neural network

Mahmood Mahmoodi-Eshkaftaki, Gustavo Mockaitis, Mohammad Rafie Rafiee

A new strategy was developed to investigate the effect of volatile fatty acids (VFAs) on the efficiency of biogas production with a focus on improving bio-H2​. The inoculum used,…

q-bio.QM2021★ 28 cited

Structural optimization of biohydrogen production: Impact of pretreatments on volatile fatty acids and biogas parameters

Mahmood Mahmoodi-Eshkaftakia, Gustavo Mockaitis

The present study aims to describe an innovative approach that enables the system to achieve high yielding for biohydrogen (bio-H2​) production using xylose as a by-product of li…

◍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.