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Acta Materialia|November 2, 2020
Microstructure-based knowledge systems for capturing process-structure evolution linkagesDavid B Brough, Daniel Wheeler, James A Warren, et al.Integrating Materials and Manufacturing Innovation|July 11, 2017
Materials Knowledge Systems in Python - A Data Science Framework for Accelerated Development of Hierarchical MaterialsDavid B Brough, Daniel Wheeler, Surya R KalidindiIntegrating Materials and Manufacturing Innovation|January 25, 2020
Extraction of Process-Structure Evolution Linkages from X-ray Scattering Measurements Using Dimensionality Reduction and Time Series AnalysisDavid B Brough, Abhiram Kannan, Benjamin Haaland, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 15, 2011
Modeling the early stages of reactive wettingDaniel Wheeler, James A Warren, William J BoettingerActa Biomaterialia|September 23, 2010
Predicting microstructure development during casting of drug-eluting coatingsDavid M Saylor, Jonathan E Guyer, Daniel Wheeler, et al.Journal of the Mechanical Behavior of Biomedical Materials|April 1, 2019
Periprosthetic biomechanical response towards dental implants, with functional gradation, for single/multiple dental lossSubhomoy Chatterjee, Sulagna Sarkar, Surya R Kalidindi, et al.Integrating Materials and Manufacturing Innovation|January 21, 2020
High throughput exploration of process-property linkages in Al-6061 using instrumented spherical microindentation and microstructurally graded samplesJordan S Weaver, Ali Khosravani, Andrew Castillo, et al.Biomedical Materials (Bristol, England)|December 1, 2020
Critical comparison of image analysis workflows for quantitative cell morphological evaluation in assessing cell response to biomaterialsK Ravikumar, Sven P Voigt, Surya R Kalidindi, et al.The Journal of Physical Chemistry Letters|September 28, 2020
Voxelized Atomic Structure Potentials: Predicting Atomic Forces with the Accuracy of Quantum Mechanics Using Convolutional Neural NetworksMatthew C Barry, Kristopher E Wise, Surya R Kalidindi, et al.Materials (Basel, Switzerland)|October 21, 2020
Evaluation of Ti-Mn Alloys for Additive Manufacturing Using High-Throughput Experimental Assays and Gaussian Process RegressionXinyi Gong, Yuksel C Yabansu, Peter C Collins, et al.Pageof 5