Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
Autonomous and dynamic precursor selection for solid-state materials synthesis
Nathan J. Szymanski
, Pragnay Nevatia
,
Christopher J. Bartel
, Yan Zeng
, Gerbrand Ceder
Chemical Engineering and Materials Science
Research output
:
Contribution to journal
›
Article
›
peer-review
28
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Autonomous and dynamic precursor selection for solid-state materials synthesis'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Materials Synthesis
100%
Solid-state Materials
100%
Highly Stable
25%
Optimization Algorithm
25%
In Situ Characterization
25%
Ab Initio Computations
25%
Thermodynamic Driving Force
25%
Solid-state Synthesis
25%
Material Forming
25%
Black-box Optimization
25%
Optimal Precursor
25%
Experimental Dataset
25%
Synthesis Methods
25%
Stable Intermediate
25%
Autonomous Experiments
25%
Engineering
Target Material
100%
Driving Force
100%
Domain Knowledge
100%
Black Box
100%
Computer Science
Experimental Dataset
100%
Domain Knowledge
100%
Optimization Algorithm
100%
Immunology and Microbiology
Precursor
100%
Material Science
Materials Synthesis
100%