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Chemical Science
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March 11, 2020
Progress and prospects for accelerating materials science with automated and autonomous workflows
Helge S Stein, John M Gregoire
ACS Combinatorial Science
|
December 31, 2014
Statistical analysis and interpolation of compositional data in materials science
Misha Z Pesenson, Santosh K Suram, John M Gregoire
ACS Combinatorial Science
|
September 24, 2016
High Throughput Light Absorber Discovery, Part 1: An Algorithm for Automated Tauc Analysis
Santosh K Suram, Paul F Newhouse, John M Gregoire
The Review of Scientific Instruments
|
February 2, 2011
A wavelet transform algorithm for peak detection and application to powder x-ray diffraction data
John M Gregoire, Darren Dale, R Bruce van Dover
Journal of Photochemistry and Photobiology. B, Biology
|
January 19, 2015
Electrocatalytic Reduction of Nitrogen and Carbon Dioxide to Chemical Fuels: Challenges and Opportunities for a Solar Fuel Device
Aidan Q Fenwick, John M Gregoire, Oana R Luca
ACS Combinatorial Science
|
February 24, 2015
Generating information-rich high-throughput experimental materials genomes using functional clustering via multitree genetic programming and information theory
Santosh K Suram, Joel A Haber, Jian Jin, et al.
The Review of Scientific Instruments
|
March 8, 2013
Scanning droplet cell for high throughput electrochemical and photoelectrochemical measurements
John M Gregoire, Chengxiang Xiang, Xiaonao Liu, et al.
The Review of Scientific Instruments
|
December 5, 2012
A scanning AC calorimetry technique for the analysis of nano-scale quantities of materials
Kechao Xiao, John M Gregoire, Patrick J McCluskey, et al.
Nature Communications
|
January 27, 2019
Robust and synthesizable photocatalysts for CO<sub>2</sub> reduction: a data-driven materials discovery
Arunima K Singh, Joseph H Montoya, John M Gregoire, et al.
Chemical Science
|
February 13, 2019
Machine learning of optical properties of materials - predicting spectra from images and images from spectra
Helge S Stein, Dan Guevarra, Paul F Newhouse, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 47) with videos related to
Sort By:
Page
of 5
Chemical Science
|
March 11, 2020
Progress and prospects for accelerating materials science with automated and autonomous workflows
Helge S Stein, John M Gregoire
ACS Combinatorial Science
|
December 31, 2014
Statistical analysis and interpolation of compositional data in materials science
Misha Z Pesenson, Santosh K Suram, John M Gregoire
ACS Combinatorial Science
|
September 24, 2016
High Throughput Light Absorber Discovery, Part 1: An Algorithm for Automated Tauc Analysis
Santosh K Suram, Paul F Newhouse, John M Gregoire
The Review of Scientific Instruments
|
February 2, 2011
A wavelet transform algorithm for peak detection and application to powder x-ray diffraction data
John M Gregoire, Darren Dale, R Bruce van Dover
Journal of Photochemistry and Photobiology. B, Biology
|
January 19, 2015
Electrocatalytic Reduction of Nitrogen and Carbon Dioxide to Chemical Fuels: Challenges and Opportunities for a Solar Fuel Device
Aidan Q Fenwick, John M Gregoire, Oana R Luca
ACS Combinatorial Science
|
February 24, 2015
Generating information-rich high-throughput experimental materials genomes using functional clustering via multitree genetic programming and information theory
Santosh K Suram, Joel A Haber, Jian Jin, et al.
The Review of Scientific Instruments
|
March 8, 2013
Scanning droplet cell for high throughput electrochemical and photoelectrochemical measurements
John M Gregoire, Chengxiang Xiang, Xiaonao Liu, et al.
The Review of Scientific Instruments
|
December 5, 2012
A scanning AC calorimetry technique for the analysis of nano-scale quantities of materials
Kechao Xiao, John M Gregoire, Patrick J McCluskey, et al.
Nature Communications
|
January 27, 2019
Robust and synthesizable photocatalysts for CO<sub>2</sub> reduction: a data-driven materials discovery
Arunima K Singh, Joseph H Montoya, John M Gregoire, et al.
Chemical Science
|
February 13, 2019
Machine learning of optical properties of materials - predicting spectra from images and images from spectra
Helge S Stein, Dan Guevarra, Paul F Newhouse, et al.
Page
of 5