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Insight into the Mechanism of Antibacterial Activity of ZnO: Surface Defects Mediated Reactive Oxygen Species Even in the Dark

Langmuir, 2015-08, Vol.31 (33), p.9155-9162

2015

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Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning

Nature communications, 2018-04, Vol.9 (1), p.1668-9, Article 1668

2018

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Accelerated Discovery of Large Electrostrains in BaTiO3‐Based Piezoelectrics Using Active Learning

Advanced materials (Weinheim), 2018-02, Vol.30 (7), p.n/a

2018

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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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Adaptive Strategies for Materials Design using Uncertainties

Scientific reports, 2016-01, Vol.6 (1), p.19660-19660, Article 19660

2016

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Simultaneous Fenton–Photocatalytic Reactions through a New Single Catalyst (Nano ZnO2 /Fe2+) for Dye Degradation

Journal of physical chemistry. C, 2017-08, Vol.121 (34), p.18557-18563

2017

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Adaptive machine learning for efficient materials design

MRS bulletin, 2020-07, Vol.45 (7), p.579-586

Balachandran, Prasanna V.

2020

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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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Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design

npj computational materials, 2019-12, Vol.5 (1), Article 21

2019

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Learning from data to design functional materials without inversion symmetry

Nature communications, 2017-02, Vol.8 (1), p.14282-14282, Article 14282

2017

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A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys

Scientific reports, 2022-07, Vol.12 (1), p.11591-11591, Article 11591

2022

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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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Materials Prediction via Classification Learning

Scientific reports, 2015-08, Vol.5 (1), p.13285-13285, Article 13285

2015

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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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Phase classification of multi-principal element alloys via interpretable machine learning

npj computational materials, 2022-02, Vol.8 (1), p.1-12, Article 25

2022

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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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Finding New Perovskite Halides via Machine Learning

Frontiers in materials, 2016-04, Vol.3

2016

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Future Frontiers in Corrosion Science and Engineering, Part III: The Next “Leap Ahead” in Corrosion Control May Be Enabled by Data Analytics and Artificial Intelligence

Corrosion (Houston, Tex.), 2019-12, Vol.75 (12), p.1395-1397

2019

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Polarization screening-induced magnetic phase gradients at complex oxide interfaces

Nature communications, 2015-04, Vol.6 (1), p.6735-6735, Article 6735

2015

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Self-healing nanocomposites via N-doped GO promoted "click chemistry"

Soft matter, 2022-12, Vol.19 (1), p.98-105

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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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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Correlation between d-orbital bandwidth and local coordination environment in RE2SiO5 compounds with implications in minimizing the coefficient of thermal expansion anisotropy (RE = Sc, Y, La)

AIP advances, 2022-04, Vol.12 (4), p.045012-045012-6

2022

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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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Insight into the Mechanism of Antibacterial Activity of ZnO: Surface Defects Mediated Reactive Oxygen Species Even in the Dark

Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning

Accelerated Discovery of Large Electrostrains in BaTiO3‐Based Piezoelectrics Using Active Learning

Machine learning guided design of functional materials with targeted properties

Adaptive Strategies for Materials Design using Uncertainties

Simultaneous Fenton–Photocatalytic Reactions through a New Single Catalyst (Nano ZnO2 /Fe2+) for Dye Degradation

Adaptive machine learning for efficient materials design

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

Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design

Learning from data to design functional materials without inversion symmetry

A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys

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

Materials Prediction via Classification Learning

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

Phase classification of multi-principal element alloys via interpretable machine learning

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

Finding New Perovskite Halides via Machine Learning

Future Frontiers in Corrosion Science and Engineering, Part III: The Next “Leap Ahead” in Corrosion Control May Be Enabled by Data Analytics and Artificial Intelligence

Polarization screening-induced magnetic phase gradients at complex oxide interfaces

Self-healing nanocomposites via N-doped GO promoted "click chemistry"

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

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

Correlation between d-orbital bandwidth and local coordination environment in RE2SiO5 compounds with implications in minimizing the coefficient of thermal expansion anisotropy (RE = Sc, Y, La)

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

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