Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

machine learning Physics & Astronomy
Learning systems Chemical Compounds
Peptides Medicine & Life Sciences
Self assembly Chemical Compounds
Free energy Chemical Compounds
peptides Physics & Astronomy
self assembly Physics & Astronomy
assembly Physics & Astronomy

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Research Output 2009 2018

  • 39 Article
  • 3 Conference contribution
  • 2 Review article
Reheat cycle
Supramolecular chemistry
Crown ethers
Stereochemistry
Free energy

Machine learning and data science in soft materials engineering

Ferguson, A. L. Jan 31 2018 In : Journal of Physics Condensed Matter. 30, 4, 043002

Research output: Contribution to journalReview article

Phase space methods
Unsaturated polymers
artificial intelligence
machine learning
Data handling

Rational design of patchy colloids: Via landscape engineering

Long, A. W. & Ferguson, A. L. Feb 1 2018 In : Molecular Systems Design and Engineering. 3, 1, p. 49-65 17 p.

Research output: Contribution to journalArticle

Colloids
Self assembly
Covariance matrix
Free energy
Uncertainty Quantification
Bayesian Approach
Histogram
Free energy
Free Energy

Coarse-Grained Molecular Simulation of the Hierarchical Self-Assembly of π-Conjugated Optoelectronic Peptides

Mansbach, R. A. & Ferguson, A. L. Feb 23 2017 In : Journal of Physical Chemistry B. 121, 7, p. 1684-1706 23 p.

Research output: Contribution to journalArticle

Optoelectronic devices
Self assembly
Peptides
peptides
self assembly

Honors & Recognition