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Machine learning guided design of functional materials with targeted properties

Computational materials science, 2019-06, Vol.164, p.82-90

Balachandran, Prasanna V.

2019

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Data-driven design of B20 alloys with targeted magnetic properties guided by machine learning and density functional theory

Journal of materials research, 2020-04, Vol.35 (8), p.890-897

Balachandran, Prasanna V.

2020

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Ethanol-activated granular aerogel as efficient adsorbent for persistent organic pollutants from real leachate and hospital wastewater

Journal of hazardous materials, 2020-02, Vol.384, p.121396, Article 121396

2020

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An informatics approach to transformation temperatures of NiTi-based shape memory alloys

Acta materialia, 2017-02, Vol.125 (C), p.532-541

2017

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Machine-Learning-Enabled Prediction of Adiabatic Temperature Change in Lead-Free BaTiO3‑Based Electrocaloric Ceramics

ACS applied materials & interfaces, 2021-11, Vol.13 (45), p.53475-53484

2021

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Accelerated HKUST‑1 Thin-Film Property Optimization Using Active Learning

ACS applied materials & interfaces, 2021-12, Vol.13 (51), p.61827-61837

2021

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Child-adult speech diarization in naturalistic conditions of preschool classrooms using room-independent ResNet model and automatic speech recognition-based re-segmentation

The Journal of the Acoustical Society of America, 2024-02, Vol.155 (2), p.1198-1215

2024

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Finding New Perovskite Halides via Machine Learning

Frontiers in materials, 2016-04, Vol.3

2016

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A hybrid technique based energy management in hybrid electric vehicle system

International journal of energy research, 2022-09, Vol.46 (11), p.15499-15520

2022

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Density functional theory and machine learning guided search for RE2Si2O7 with targeted coefficient of thermal expansion

Journal of the American Ceramic Society, 2020-08, Vol.103 (8), p.4489-4497

2020

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Multi Label Deep Learning classification approach for False Data Injection Attacks in Smart Grid

KSII transactions on Internet and information systems, 2021-06, Vol.15 (6), p.2168

2021

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Chemical manipulation of oxygen vacancy and antibacterial activity in ZnO

Materials Science & Engineering C, 2017-08, Vol.77, p.1027-1034

2017

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Density functional theory study of energetics, local chemical environment and magnetic properties in a high-entropic MnNiSi0.2Ge0.2Sn0.2Al0.2Ga0.2 intermetallic magnet

JPhys Energy, 2023-04, Vol.5 (2), p.024019

2023

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A survey on recent research in business intelligence

Journal of enterprise information management, 2014-10, Vol.27 (6), p.831-866

2014

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An information delivery model for banking business

International journal of information management, 2014-04, Vol.34 (2), p.139-150

2014

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Evaluation of Physicothermal Properties of Solar Thermic Fluids Dispersed with Multiwalled Carbon Nanotubes and Prediction of Data Using Artificial Neural Networks

Journal of nanomaterials, 2021-12, Vol.2021, p.1-13

2021

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A Bayesian Approach to the Eagar–Tsai Model for Melt Pool Geometry Prediction with Implications in Additive Manufacturing of Metals

Integrating materials and manufacturing innovation, 2021-12, Vol.10 (4), p.597-609

2021

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Explainable artificial intelligence approach for yield strength prediction in as-cast multi-principal element alloys

Materialia, 2022-12, Vol.26, p.101628, Article 101628

2022

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Prediction of new iodine-containing apatites using machine learning and density functional theory

MRS communications, 2019-09, Vol.9 (3), p.882-890

2019

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Modeling and optimization of parameters of flow rate of paddy rice grains through the horizontal rotating cylindrical drum of drum seeder

Computers and electronics in agriculture, 2009, Vol.65 (1), p.26-35

2009

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Hybrid Aspect of Context-Aware Middleware for Pervasive Smart Environment: A Review

Mobile information systems, 2018-01, Vol.2018, p.1-16

2018

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Modeling, Design, and Implementation of a Power Conversion System for Small-Scale High-Altitude Wind Power Generating System

IEEE transactions on industry applications, 2017-01, Vol.53 (1), p.283-295

2017

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Sparse Matrix Computations on Reconfigurable Hardware

Computer (Long Beach, Calif.), 2007-03, Vol.40 (3), p.58-64

2007

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Biogenic surfactant mediated facile synthesis of visible light sensitized Zn/Mg co-doped TiO2 nanomaterials – a green approach: evaluation of photocatalytic activity by degradation of Amido Black 10B

Sustainable environment research, 2022-09, Vol.32 (1), p.1-20, Article 38

2022

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Hierarchical modeling of a groundwater remediation capture system

Journal of hydrology (Amsterdam), 2015-08, Vol.527, p.196-211

2015

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Machine learning guided design of functional materials with targeted properties

Data-driven design of B20 alloys with targeted magnetic properties guided by machine learning and density functional theory

Ethanol-activated granular aerogel as efficient adsorbent for persistent organic pollutants from real leachate and hospital wastewater

An informatics approach to transformation temperatures of NiTi-based shape memory alloys

Machine-Learning-Enabled Prediction of Adiabatic Temperature Change in Lead-Free BaTiO3‑Based Electrocaloric Ceramics

Accelerated HKUST‑1 Thin-Film Property Optimization Using Active Learning

Child-adult speech diarization in naturalistic conditions of preschool classrooms using room-independent ResNet model and automatic speech recognition-based re-segmentation

Finding New Perovskite Halides via Machine Learning

A hybrid technique based energy management in hybrid electric vehicle system

Density functional theory and machine learning guided search for RE2Si2O7 with targeted coefficient of thermal expansion

Multi Label Deep Learning classification approach for False Data Injection Attacks in Smart Grid

Chemical manipulation of oxygen vacancy and antibacterial activity in ZnO

Density functional theory study of energetics, local chemical environment and magnetic properties in a high-entropic MnNiSi0.2Ge0.2Sn0.2Al0.2Ga0.2 intermetallic magnet

A survey on recent research in business intelligence

An information delivery model for banking business

Evaluation of Physicothermal Properties of Solar Thermic Fluids Dispersed with Multiwalled Carbon Nanotubes and Prediction of Data Using Artificial Neural Networks

A Bayesian Approach to the Eagar–Tsai Model for Melt Pool Geometry Prediction with Implications in Additive Manufacturing of Metals

Explainable artificial intelligence approach for yield strength prediction in as-cast multi-principal element alloys

Prediction of new iodine-containing apatites using machine learning and density functional theory

Modeling and optimization of parameters of flow rate of paddy rice grains through the horizontal rotating cylindrical drum of drum seeder

Hybrid Aspect of Context-Aware Middleware for Pervasive Smart Environment: A Review

Modeling, Design, and Implementation of a Power Conversion System for Small-Scale High-Altitude Wind Power Generating System

Sparse Matrix Computations on Reconfigurable Hardware

Biogenic surfactant mediated facile synthesis of visible light sensitized Zn/Mg co-doped TiO2 nanomaterials – a green approach: evaluation of photocatalytic activity by degradation of Amido Black 10B

Hierarchical modeling of a groundwater remediation capture system

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