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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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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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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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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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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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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

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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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Machine learning for materials design and discovery

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

2021

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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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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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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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Materials Prediction via Classification Learning

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

2015

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Computational optical sensing and imaging: introduction to the feature issue

Optics express, 2024-05, Vol.32 (10), p.17255-17259

2024

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Lysosomal Signaling Promotes Longevity by Adjusting Mitochondrial Activity

Developmental cell, 2019-03, Vol.48 (5), p.685-696.e5

2019

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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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Chemical gradients in human enamel crystallites

Nature (London), 2020-07, Vol.583 (7814), p.66-71

2020

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Drugs‐associated with red man syndrome: An integrative approach using disproportionality analysis and Pharmip

Journal of clinical pharmacy and therapeutics, 2022-10, Vol.47 (10), p.1650-1658

2022

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Commentary: Decoding the intraocular pressure conundrum surrounding the core of COR

Indian journal of ophthalmology, 2023-03, Vol.71 (3), p.879-880

2023

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Microbial transglutaminase in cashew‐based vegan cheese: an innovative approach in achieving ideal texture and meltability

International journal of food science & technology, 2024-09, Vol.59 (11), p.8290-8297

2024

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Shedding new light on lipid functions with CARS and SRS microscopy

Biochimica et biophysica acta, 2014-08, Vol.1841 (8), p.1120-1129

2014

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Tunable magnetic skyrmions in ferrimagnetic Mn4N

Applied physics letters, 2021-11, Vol.119 (19)

2021

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Identifying the 'inorganic gene' for high-temperature piezoelectric perovskites through statistical learning

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2011-08, Vol.467 (2132), p.2271-2290

2011

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A New Synergetic Nanocomposite for Dye Degradation in Dark and Light

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

Accelerated search for materials with targeted properties by adaptive design

Machine learning guided design of functional materials with targeted properties

Adaptive Strategies for Materials Design using Uncertainties

Multi-objective Optimization for Materials Discovery via Adaptive Design

Learning from data to design functional materials without inversion symmetry

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

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

Machine learning for materials design and discovery

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

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

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

Materials Prediction via Classification Learning

Computational optical sensing and imaging: introduction to the feature issue

Lysosomal Signaling Promotes Longevity by Adjusting Mitochondrial Activity

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

Chemical gradients in human enamel crystallites

Drugs‐associated with red man syndrome: An integrative approach using disproportionality analysis and Pharmip

Commentary: Decoding the intraocular pressure conundrum surrounding the core of COR

Microbial transglutaminase in cashew‐based vegan cheese: an innovative approach in achieving ideal texture and meltability

Shedding new light on lipid functions with CARS and SRS microscopy

Tunable magnetic skyrmions in ferrimagnetic Mn4N

Identifying the 'inorganic gene' for high-temperature piezoelectric perovskites through statistical learning

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