Search Results - "Surya, R."

Materials Data Science: Current Status and Future Outlook by Kalidindi, Surya R, De Graef, Marc

“…The field of materials science and engineering is on the cusp of a digital data revolution. After reviewing the nature of data science and Big Data, we discuss…”
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Spherical nanoindentation stress–strain curves by Pathak, Siddhartha, Kalidindi, Surya R.

“…Although indentation experiments have long been used to measure the hardness and Young's modulus, the utility of this technique in analyzing the complete…”
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Development of high throughput assays for establishing process-structure-property linkages in multiphase polycrystalline metals: Application to dual-phase steels by Khosravani, Ali, Cecen, Ahmet, Kalidindi, Surya R.

“…Process-structure-property (PSP) linkages are central to the development and deployment of advanced materials in emerging technologies. Conventional approaches…”
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Membrane technology enhancement in oil–water separation. A review by Padaki, M., Surya Murali, R., Abdullah, M.S., Misdan, N., Moslehyani, A., Kassim, M.A., Hilal, N., Ismail, A.F.

“…Membrane separation processes have become an emerging technology for the treatment of oily wastewater due to high oil removal efficiency and relatively facile…”
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Correlation of spherical nanoindentation stress-strain curves to simple compression stress-strain curves for elastic-plastic isotropic materials using finite element models by Patel, Dipen K., Kalidindi, Surya R.

“…The stress-strain fields realized in spherical indentation tests are highly heterogeneous, and present a significant challenge to the recovery of bulk…”
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Material structure-property linkages using three-dimensional convolutional neural networks by Cecen, Ahmet, Dai, Hanjun, Yabansu, Yuksel C., Kalidindi, Surya R., Song, Le

“…The core materials knowledge needed in the accelerated design, development, and deployment of new and improved materials is most accessible when cast in the…”
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Deformation twinning in AZ31: Influence on strain hardening and texture evolution by Knezevic, Marko, Levinson, Amanda, Harris, Ryan, Mishra, Raja K., Doherty, Roger D., Kalidindi, Surya R.

“…This paper describes the main results from an experimental investigation into the consequences of deformation twinning in AZ31 on various aspects of plastic…”
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Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials by Basu, Bikramjit, Gowtham, N.H., Xiao, Yang, Kalidindi, Surya R., Leong, Kam W.

“…Conventional approaches to developing biomaterials and implants require intuitive tailoring of manufacturing protocols and biocompatibility assessment. This…”
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Structure–property linkages using a data science approach: Application to a non-metallic inclusion/steel composite system by Gupta, Akash, Cecen, Ahmet, Goyal, Sharad, Singh, Amarendra K., Kalidindi, Surya R.

“…Practical multiscale materials design is contingent on the availability of robust and reliable reduced-order linkages (i.e., surrogate models) between the…”
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Mixed matrix membranes of Pebax-1657 loaded with 4A zeolite for gaseous separations by Surya Murali, R., Ismail, A.F., Rahman, M.A., Sridhar, S.

“…•Zeolite 4A loaded Pebax-1657 mixed matrix membranes were synthesized.•Performance of membranes was studied with pure CO2, CH4, O2 and N2 gases.•Pebax/4A…”
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Autonomous Development of a Machine-Learning Model for the Plastic Response of Two-Phase Composites from Micromechanical Finite Element Models by Marshall, Andrew, Kalidindi, Surya R.

“…We demonstrate a novel strategy for the autonomous development of a machine-learning model for predicting the equivalent stress–equivalent plastic strain…”
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Key computational modeling issues in Integrated Computational Materials Engineering by Panchal, Jitesh H., Kalidindi, Surya R., McDowell, David L.

“…Designing materials for targeted performance requirements as required in Integrated Computational Materials Engineering (ICME) demands a combined strategy of…”
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Bayesian analysis of parametric uncertainties and model form probabilities for two different crystal plasticity models of lamellar grains in α+β Titanium alloys by Venkatraman, Aditya, McDowell, David L., Kalidindi, Surya R.

“…•A three-step Bayesian protocol was developed to estimate parametric uncertainty and model probability of crystal plasticity models.•The protocol was deployed…”
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Quantification and classification of microstructures in ternary eutectic alloys using 2-point spatial correlations and principal component analyses by Choudhury, Abhik, Yabansu, Yuksel C., Kalidindi, Surya R., Dennstedt, Anne

“…Eutectic solidification gives rise to a number of distinct microstructure patterns that might include lamella, rods and labyrinths in binary alloys. However,…”
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Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets by Yang, Zijiang, Yabansu, Yuksel C., Al-Bahrani, Reda, Liao, Wei-keng, Choudhary, Alok N., Kalidindi, Surya R., Agrawal, Ankit

“…[Display omitted] •Mining structure-property linkages in high-contrast composites using deep learning.•The efficacy of deep learning is compared with…”
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Influence of deformation twinning on static annealing of AZ31 Mg alloy by Levinson, Amanda, Mishra, Raja K., Doherty, Roger D., Kalidindi, Surya R.

“…The microstructure evolution during isothermal static annealing of magnesium alloy AZ31 was investigated to critically evaluate the contribution of extension…”
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Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches by Yang, Zijiang, Yabansu, Yuksel C., Jha, Dipendra, Liao, Wei-keng, Choudhary, Alok N., Kalidindi, Surya R., Agrawal, Ankit

“…Data-driven methods are attracting growing attention in the field of materials science. In particular, it is now becoming clear that machine learning…”
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Energy Efficiency in Massive MIMO-Based 5G Networks: Opportunities and Challenges by Surya Vara Prasad, K. N. R., Hossain, Ekram, Bhargava, Vijay K.

“…As we make progress toward the 5G of wireless networks, the bit-per-joule energy efficiency (EE) becomes an important design criterion for sustainable…”
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Determination of the effective zero-point and the extraction of spherical nanoindentation stress–strain curves by Kalidindi, Surya R., Pathak, Siddhartha

“…In this paper, we present a novel approach to converting the load–displacement data measured in spherical nanoindentation into indentation stress–strain…”
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Estimating the slip resistance from spherical nanoindentation and orientation measurements in polycrystalline samples of cubic metals by Patel, Dipen K., Kalidindi, Surya R.

“…In this paper, we demonstrate the first application of a recently formulated two-step approach to the estimation of the average slip resistance in a cubic…”
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