Advancing energy materials through high throughput experiments and computation

Helge S. Stein; Arghya Bhowmik; John M. Gregoire

doi:10.1039/d4ta90112f

Advancing energy materials through high throughput experiments and computation

Helge S. Stein^*
, Arghya Bhowmik^*
, John M. Gregoire^*

^*Corresponding author for this work

Technical University of Munich
California Institute of Technology

Research output: Contribution to journal › Editorial › peer-review

Abstract

Modern megatrends in research such as automation and machine learning have far reached implications for the very way we conduct research. Ultimately these tools augment research and enable greater and faster knowledge generation.

Original language	English
Journal	Journal of Materials Chemistry A
Volume	12
Pages (from-to)	23122-23124
Number of pages	3
ISSN	2050-7488
DOIs	https://doi.org/10.1039/d4ta90112f
Publication status	Published - 2024

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title = "Advancing energy materials through high throughput experiments and computation",

abstract = "Modern megatrends in research such as automation and machine learning have far reached implications for the very way we conduct research. Ultimately these tools augment research and enable greater and faster knowledge generation.",

author = "Stein, \{Helge S.\} and Arghya Bhowmik and Gregoire, \{John M.\}",

year = "2024",

doi = "10.1039/d4ta90112f",

language = "English",

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pages = "23122--23124",

journal = "Journal of Materials Chemistry A",

issn = "2050-7488",

publisher = "Royal Society of Chemistry",

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AU - Stein, Helge S.

AU - Bhowmik, Arghya

AU - Gregoire, John M.

PY - 2024

Y1 - 2024

N2 - Modern megatrends in research such as automation and machine learning have far reached implications for the very way we conduct research. Ultimately these tools augment research and enable greater and faster knowledge generation.

AB - Modern megatrends in research such as automation and machine learning have far reached implications for the very way we conduct research. Ultimately these tools augment research and enable greater and faster knowledge generation.

U2 - 10.1039/d4ta90112f

DO - 10.1039/d4ta90112f

M3 - Editorial

SN - 2050-7488

VL - 12

SP - 23122

EP - 23124

JO - Journal of Materials Chemistry A

JF - Journal of Materials Chemistry A

ER -

Advancing energy materials through high throughput experiments and computation

Abstract

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