Leveraging artificial intelligence in bioelectrochemical systems

Durga Madhab Mahapatra; Puranjan Mishra; Sveta Thakur; Lakhveer Singh

doi:10.1016/j.tibtech.2021.11.005

Leveraging artificial intelligence in bioelectrochemical systems

Durga Madhab Mahapatra
, Puranjan Mishra
, Sveta Thakur
, Lakhveer Singh^*

^*Corresponding author for this work

Department of Biology

Research output: Contribution to journal › Journal article › peer-review

15 Citations (Scopus)

Abstract

Bioelectrochemical systems (BESs) are highly evolved and sophisticated systems that produce bioenergy via exoelectrogenic microbes. Artificial intelligence (AI) helps to understand, relate, model, and predict both process parameters and microbial diversity, resulting in higher performance. This approach has revolutionized BESs through highly advanced computational algorithms that best suit the systems’ architecture.

Original language	English
Pages (from-to)	535-538
Number of pages	4
Journal	Trends in Biotechnology
Volume	40
Issue number	5
DOIs	https://doi.org/10.1016/j.tibtech.2021.11.005
Publication status	Published - May 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

User-Defined Keywords

artificial intelligence
bioelectrochemical systems
electrofuels
microbial fuel cells
reactor optimization

Access to Document

10.1016/j.tibtech.2021.11.005

Cite this

@article{07255eb24ba34146be0b7028424b8425,

title = "Leveraging artificial intelligence in bioelectrochemical systems",

abstract = "Bioelectrochemical systems (BESs) are highly evolved and sophisticated systems that produce bioenergy via exoelectrogenic microbes. Artificial intelligence (AI) helps to understand, relate, model, and predict both process parameters and microbial diversity, resulting in higher performance. This approach has revolutionized BESs through highly advanced computational algorithms that best suit the systems{\textquoteright} architecture.",

keywords = "artificial intelligence, bioelectrochemical systems, electrofuels, microbial fuel cells, reactor optimization",

author = "Mahapatra, \{Durga Madhab\} and Puranjan Mishra and Sveta Thakur and Lakhveer Singh",

year = "2022",

month = may,

doi = "10.1016/j.tibtech.2021.11.005",

language = "English",

volume = "40",

pages = "535--538",

journal = "Trends in Biotechnology",

issn = "0167-7799",

publisher = "Elsevier Ltd.",

number = "5",

}

TY - JOUR

T1 - Leveraging artificial intelligence in bioelectrochemical systems

AU - Mahapatra, Durga Madhab

AU - Mishra, Puranjan

AU - Thakur, Sveta

AU - Singh, Lakhveer

PY - 2022/5

Y1 - 2022/5

N2 - Bioelectrochemical systems (BESs) are highly evolved and sophisticated systems that produce bioenergy via exoelectrogenic microbes. Artificial intelligence (AI) helps to understand, relate, model, and predict both process parameters and microbial diversity, resulting in higher performance. This approach has revolutionized BESs through highly advanced computational algorithms that best suit the systems’ architecture.

AB - Bioelectrochemical systems (BESs) are highly evolved and sophisticated systems that produce bioenergy via exoelectrogenic microbes. Artificial intelligence (AI) helps to understand, relate, model, and predict both process parameters and microbial diversity, resulting in higher performance. This approach has revolutionized BESs through highly advanced computational algorithms that best suit the systems’ architecture.

KW - artificial intelligence

KW - bioelectrochemical systems

KW - electrofuels

KW - microbial fuel cells

KW - reactor optimization

UR - https://www.scopus.com/pages/publications/85120796223

U2 - 10.1016/j.tibtech.2021.11.005

DO - 10.1016/j.tibtech.2021.11.005

M3 - Journal article

C2 - 34893375

AN - SCOPUS:85120796223

SN - 0167-7799

VL - 40

SP - 535

EP - 538

JO - Trends in Biotechnology

JF - Trends in Biotechnology

IS - 5

ER -

Leveraging artificial intelligence in bioelectrochemical systems

Abstract

UN SDGs

User-Defined Keywords

Access to Document

Other files and links

Fingerprint

Cite this