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IEEE Transactions on Nanobioscience
|
September 27, 2006
Biological crystallization of self-aligned iron oxide nanoparticles
Taegyun Kim, Krishna Rajan, Mutsuhiro Shima
Journal of Chemical Information and Modeling
|
April 19, 2021
Deep Learning Model for Identifying Critical Structural Motifs in Potential Endocrine Disruptors
Arpan Mukherjee, An Su, Krishna Rajan
Ultramicroscopy
|
March 30, 2013
Mapping energetics of atom probe evaporation events through first principles calculations
Joaquín Peralta, Scott R Broderick, Krishna Rajan
Ultramicroscopy
|
May 12, 2015
Extracting features buried within high density atom probe point cloud data through simplicial homology
Srikant Srinivasan, Kaustubh Kaluskar, Scott Broderick, et al.
Proceedings. Mathematical, Physical, and Engineering Sciences
|
June 25, 2014
Identifying the 'inorganic gene' for high-temperature piezoelectric perovskites through statistical learning
Prasanna V Balachandran, Scott R Broderick, Krishna Rajan
Chemistry of Materials : a Publication of the American Chemical Society
|
February 23, 2023
Connecting Vibrational Spectroscopy to Atomic Structure via Supervised Manifold Learning: Beyond Peak Analysis
Daniel Vizoso, Ghatu Subhash, Krishna Rajan, et al.
Scientific Reports
|
June 3, 2021
Classification of apatite structures via topological data analysis: a framework for a 'Materials Barcode' representation of structure maps
Scott Broderick, Ruhil Dongol, Tianmu Zhang, et al.
Acta Crystallographica Section B, Structural Science, Crystal Engineering and Materials
|
June 4, 2014
Electronically driven structural transitions in A10(PO4)6F2 apatites (A = Ca, Sr, Pb, Cd and Hg)
Prasanna V Balachandran, Krishna Rajan, James M Rondinelli
The Journal of Chemical Physics
|
April 3, 2021
Quantum signatures for screening metavalent solids
Deepesh Giri, Logan Williams, Arpan Mukherjee, et al.
ACS Combinatorial Science
|
January 21, 2011
Identifying factors controlling protein release from combinatorial biomaterial libraries via hybrid data mining methods
Xue Li, Latrisha Petersen, Scott Broderick, et al.
Page
of 6
Search research articles
Search
Showing results (11-20 of 55) with videos related to
Sort By:
Page
of 6
IEEE Transactions on Nanobioscience
|
September 27, 2006
Biological crystallization of self-aligned iron oxide nanoparticles
Taegyun Kim, Krishna Rajan, Mutsuhiro Shima
Journal of Chemical Information and Modeling
|
April 19, 2021
Deep Learning Model for Identifying Critical Structural Motifs in Potential Endocrine Disruptors
Arpan Mukherjee, An Su, Krishna Rajan
Ultramicroscopy
|
March 30, 2013
Mapping energetics of atom probe evaporation events through first principles calculations
Joaquín Peralta, Scott R Broderick, Krishna Rajan
Ultramicroscopy
|
May 12, 2015
Extracting features buried within high density atom probe point cloud data through simplicial homology
Srikant Srinivasan, Kaustubh Kaluskar, Scott Broderick, et al.
Proceedings. Mathematical, Physical, and Engineering Sciences
|
June 25, 2014
Identifying the 'inorganic gene' for high-temperature piezoelectric perovskites through statistical learning
Prasanna V Balachandran, Scott R Broderick, Krishna Rajan
Chemistry of Materials : a Publication of the American Chemical Society
|
February 23, 2023
Connecting Vibrational Spectroscopy to Atomic Structure via Supervised Manifold Learning: Beyond Peak Analysis
Daniel Vizoso, Ghatu Subhash, Krishna Rajan, et al.
Scientific Reports
|
June 3, 2021
Classification of apatite structures via topological data analysis: a framework for a 'Materials Barcode' representation of structure maps
Scott Broderick, Ruhil Dongol, Tianmu Zhang, et al.
Acta Crystallographica Section B, Structural Science, Crystal Engineering and Materials
|
June 4, 2014
Electronically driven structural transitions in A10(PO4)6F2 apatites (A = Ca, Sr, Pb, Cd and Hg)
Prasanna V Balachandran, Krishna Rajan, James M Rondinelli
The Journal of Chemical Physics
|
April 3, 2021
Quantum signatures for screening metavalent solids
Deepesh Giri, Logan Williams, Arpan Mukherjee, et al.
ACS Combinatorial Science
|
January 21, 2011
Identifying factors controlling protein release from combinatorial biomaterial libraries via hybrid data mining methods
Xue Li, Latrisha Petersen, Scott Broderick, et al.
Page
of 6