Search Results - "ANKIT AGRAWAL"

Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science by Agrawal, Ankit, Choudhary, Alok

“…Our ability to collect “big data” has greatly surpassed our capability to analyze it, underscoring the emergence of the fourth paradigm of science, which is…”
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Classification of sentiment reviews using n-gram machine learning approach by Tripathy, Abinash, Agrawal, Ankit, Rath, Santanu Kumar

“…•A large number of sentiment reviews, blogs and comments present online.•These reviews must be classified to obtain a meaningful information.•Four different…”
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Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning by Jha, Dipendra, Choudhary, Kamal, Tavazza, Francesca, Liao, Wei-keng, Choudhary, Alok, Campbell, Carelyn, Agrawal, Ankit

“…The current predictive modeling techniques applied to Density Functional Theory (DFT) computations have helped accelerate the process of materials discovery by…”
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A general-purpose machine learning framework for predicting properties of inorganic materials by Ward, Logan, Agrawal, Ankit, Choudhary, Alok, Wolverton, Christopher

“…A very active area of materials research is to devise methods that use machine learning to automatically extract predictive models from existing materials…”
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A kinetic study of pyrolysis and combustion of microalgae Chlorella vulgaris using thermo-gravimetric analysis by Agrawal, Ankit, Chakraborty, Saikat

“…► Pyrolysis and combustion kinetics of Chlorella vulgaris are studied using TGA. ► 2nd stage of decomposition consisting of 2 subzones is the stage of…”
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S2225 Development and Validation of a Machine Learning Risk-Prediction Model for In-Hospital Mortality from C. difficile: National Inpatient Sample Study by Bhagat, Umesh, Agrawal, Ankit

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Localized Surface Plasmon Resonance in Semiconductor Nanocrystals by Agrawal, Ankit, Cho, Shin Hum, Zandi, Omid, Ghosh, Sandeep, Johns, Robert W, Milliron, Delia J

“…Localized surface plasmon resonance (LSPR) in semiconductor nanocrystals (NCs) that results in resonant absorption, scattering, and near field enhancement…”
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Recent advances and applications of deep learning methods in materials science by Choudhary, Kamal, DeCost, Brian, Chen, Chi, Jain, Anubhav, Tavazza, Francesca, Cohn, Ryan, Park, Cheol Woo, Choudhary, Alok, Agrawal, Ankit, Billinge, Simon J. L., Holm, Elizabeth, Ong, Shyue Ping, Wolverton, Chris

“…Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based,…”
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An approach for evaluating residual capacity of reinforced concrete beams exposed to fire by Kodur, V.K.R., Agrawal, Ankit

“…•An approach is proposed for evaluating post-fire residual capacity of concrete beams.•Response of concrete beams under ambient, fire, and post-fire conditions…”
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Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data by Gupta, Vishu, Choudhary, Kamal, Tavazza, Francesca, Campbell, Carelyn, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit

“…Artificial intelligence (AI) and machine learning (ML) have been increasingly used in materials science to build predictive models and accelerate discovery…”
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ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition by Jha, Dipendra, Ward, Logan, Paul, Arindam, Liao, Wei-keng, Choudhary, Alok, Wolverton, Chris, Agrawal, Ankit

“…Conventional machine learning approaches for predicting material properties from elemental compositions have emphasized the importance of leveraging domain…”
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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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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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A predictive machine learning approach for microstructure optimization and materials design by Liu, Ruoqian, Kumar, Abhishek, Chen, Zhengzhang, Agrawal, Ankit, Sundararaghavan, Veera, Choudhary, Alok

“…This paper addresses an important materials engineering question: How can one identify the complete space (or as much of it as possible) of microstructures…”
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Enabling deeper learning on big data for materials informatics applications by Jha, Dipendra, Gupta, Vishu, Ward, Logan, Yang, Zijiang, Wolverton, Christopher, Foster, Ian, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit

“…The application of machine learning (ML) techniques in materials science has attracted significant attention in recent years, due to their impressive ability…”
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S1122 Development and Validation of a Machine Learning Risk-Prediction Model for In-Hospital Mortality from Clostridiodes Difficile in Patients with Inflammatory Bowel Disease: National Inpatient Sample-Based Study by Bhagat, Umesh, Kumar, Prabhat NA, Agrawal, Ankit, Achkar, Jean-Paul

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Impacts of surface depletion on the plasmonic properties of doped semiconductor nanocrystals by Zandi, Omid, Agrawal, Ankit, Shearer, Alex B., Reimnitz, Lauren C., Dahlman, Clayton J., Staller, Corey M., Milliron, Delia J.

“…Degenerately doped semiconductor nanocrystals (NCs) exhibit a localized surface plasmon resonance (LSPR) in the infrared range of the electromagnetic spectrum…”
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Influence of Shape on the Surface Plasmon Resonance of Tungsten Bronze Nanocrystals by Mattox, Tracy M, Bergerud, Amy, Agrawal, Ankit, Milliron, Delia J

“…Localized surface plasmon resonance phenomena have recently been investigated in unconventional plasmonic materials such as metal oxide and chalcogenide…”
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The Interplay of Shape and Crystalline Anisotropies in Plasmonic Semiconductor Nanocrystals by Kim, Jongwook, Agrawal, Ankit, Krieg, Franziska, Bergerud, Amy, Milliron, Delia J

“…Doped semiconductor nanocrystals are an emerging class of materials hosting localized surface plasmon resonance (LSPR) over a wide optical range. Studies so…”
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Particle swarm optimization with adaptive inertia weight based on cumulative binomial probability by Agrawal, Ankit, Tripathi, Sarsij

“…Particle swarm optimization (PSO) is a population oriented heuristic numerical optimization algorithm, influenced by the combined behavior of some birds. Since…”
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