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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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A New Synergetic Nanocomposite for Dye Degradation in Dark and Light

Scientific reports, 2016-12, Vol.6 (1), p.38606, Article 38606

2016

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Impact of monsoon rainfall on the total foodgrain yield over India

Journal of Earth System Science, 2014-06, Vol.123 (5), p.1129-1145

Prasanna, V

2014

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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 search for materials with targeted properties by adaptive design

Nature communications, 2016-04, Vol.7 (1), p.11241-11241, Article 11241

2016

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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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Statistical bias correction method applied on CMIP5 datasets over the Indian region during the summer monsoon season for climate change applications

Theoretical and applied climatology, 2018, Vol.131 (1-2), p.471-488

Prasanna, V.

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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Advances and challenges in the pharmacokinetics and bioanalysis of chiral drugs

Chirality (New York, N.Y.), 2022-10, Vol.34 (10), p.1298-1310

2022

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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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Multi-objective Optimization for Materials Discovery via Adaptive Design

Scientific reports, 2018-02, Vol.8 (1), p.3738-12, Article 3738

2018

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Skyrmionics—Computing and memory technologies based on topological excitations in magnets

Journal of applied physics, 2021-08, Vol.130 (7)

2021

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Heavy precipitation characteristics over India during the summer monsoon season using rain gauge, satellite and reanalysis products

Natural hazards (Dordrecht), 2016-08, Vol.83 (1), p.253-292

Prasanna, V.

2016

Volltextzugriff (PDF)

Fast non-line-of-sight imaging with high-resolution and wide field of view using synthetic wavelength holography

Nature communications, 2021-11, Vol.12 (1), p.6647-6647, Article 6647

2021

Volltextzugriff (PDF)

Machine learning for materials design and discovery

Journal of applied physics, 2021-02, Vol.129 (7)

2021

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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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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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Accelerated search for BaTiO₃-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning

Proceedings of the National Academy of Sciences - PNAS, 2016-11, Vol.113 (47), p.13301-13306

2016

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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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1 – 25 von 2.035

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

A New Synergetic Nanocomposite for Dye Degradation in Dark and Light

Impact of monsoon rainfall on the total foodgrain yield over India

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

Accelerated search for materials with targeted properties by adaptive design

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

Statistical bias correction method applied on CMIP5 datasets over the Indian region during the summer monsoon season for climate change applications

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

Advances and challenges in the pharmacokinetics and bioanalysis of chiral drugs

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

Multi-objective Optimization for Materials Discovery via Adaptive Design

Skyrmionics—Computing and memory technologies based on topological excitations in magnets

Heavy precipitation characteristics over India during the summer monsoon season using rain gauge, satellite and reanalysis products

Fast non-line-of-sight imaging with high-resolution and wide field of view using synthetic wavelength holography

Machine learning for materials design and discovery

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

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

Accelerated search for BaTiO₃-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning

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

Materials Prediction via Classification Learning

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