| S No | Faculty Name | Area of specialization | Journal Name | Title of the Paper | Published Year | Link |
|---|---|---|---|---|---|---|
| 1 | Arulmani | Material Chemistry | Ceramics International | Green Synthesis Of Biocompatible Nanostructured Hydroxyapatite From Cirrhinus Mrigala Fish Scale: A Biowaste To The Biomaterial | 2019 | Web Link |
| 2 | Arulmani | Material Chemistry | Electrochimica Acta | Amphiphilic Triblock Copolymer Guided Polyaniline Embraced CNT Nanohybrid With Outcropping Whiskers As An Energy Storage Electrode | 2019 | Web Link |
| 3 | Arulmani | Material Chemistry | Ultrasonics Sonochemistry | Ultrasound Promoted Transition Metal Doped Polyaniline Nanofibers: Enhanced Electrode Material For Electrochemical Energy Storage Applications | 2019 | Web Link |
| 4 | Arulmani | Material Chemistry | ChemistrySelect | Palladium/Copper Nanoalloy Supported On Carbon Nanotubes For The Electrooxidation Of Methanol And Ethylene Glycol | 2019 | Web Link |
| 5 | Arulmani | Machine Learning | Journal Of Materials Science: Materials In Electronics | Solvothermal Synthesis Of CuS/Cu(OH)2 Nanocomposite Electrode Materials For Supercapacitor Applications | 2018 | Web Link |
| 6 | Arulmani | Machine Learning | ChemistrySelect | Interconnected Porous Carbon: Unique Versatile Matrix For The Growth Of Nanostructured Polyaniline And Its Enhanced Performance Towards Electrochemical Energy Storage | 2017 | Web Link |
| 7 | Arulmani | Machine Learning | Electroanalysis | High-Performance Electrocatalytic Activity Of Palladium-Copper Nanoalloy Towards Methanol Electrooxidation In An Alkaline Medium | 2017 | Web Link |
| 8 | Dhanapal V | Machine Learning | Carbohydrate Polymers | Recycling Of Textile Dye Using Double Network Polymer From Sodium Alginate And Superabsorbent Polymer | 2014 | Web Link |
| 9 | Dhanapal V | Machine Learning | Carbohydrate Polymers | Modified Chitosan For The Collection Of Reactive Blue 4, Arsenic And Mercury From Aqueous Media | 2015 | Web Link |
| 10 | Dhanapal V | Machine Learning | Journal Of Applied Polymer Science | Synthesis And Evaluation Of Trimethylolpropane Triacrylate Crosslinked Superabsorbent Polymers For Conserving Water And Fertilizers | 2013 | Web Link |
| 11 | Dhanapal V | Machine Learning | Journal Of Applied Polymer Science | Recycling Of Reactive Dye Using Semi‐Interpenetrating Polymer Network From Sodium Alginate And Isopropyl Acrylamide | 2014 | Web Link |
| 12 | Dhanapal V | Machine Learning | Journal Of Applied Polymer Science | A Composite Approach For Remediation Of Cane Distillery Spent Wash Using Chitosan Modified Biomass, Electrolysis, And Oscillatoria Boryana | 2016 | Web Link |
| 13 | Dhanapal V | Machine Learning | New Journal Of Chemistry | P-Sulfonatocalix[4]Arene As A Carrier For Curcumin | 2013 | Web Link |
| 14 | Dhanapal V | Machine Learning | Luminescence | Electron Transfer Reactions Of Ruthenium(II)–Bipyridine Complexes Carrying Tyrosine Moiety With Quinones | 2014 | Web Link |
| 15 | Jajayaprakasam R | Machine Learning | Zeitschrift Physikalische Chemie | Phase Behavior Studies On ZnS Nanoparticles Doped Liquid Crystal Mixture | 2016 | Web Link |
| 16 | Jajayaprakasam R | Machine Learning | Ferroelectrics | Design And Synthesis Of Hydrogen Bonded Binary Mixture Liquid Crystals | 2016 | Web Link |
| 17 | Jajayaprakasam R | Machine Learning | Molecular Crystals And Liquid Crystals | Structural And Thermo-Optic Studies On Linear Double Hydrogen Bonded Ferroelectric Liquid Crystal Homologous Series | 2016 | Web Link |
| 18 | Jajayaprakasam R | Machine Learning | Brazilian Journa Of Physics | Investigation On Thermal And Optical Properties Of Hydrogen-Bonded Binary Liquid Crystals | 2016 | Web Link |
| 19 | Jajayaprakasam R | Machine Learning | Russian Journal Of Physical Chemistry A | Influence Of Hydrogen Bond On Thermal And Phase Transitions Of Binary Complex Liquid Crystals 1 | 2017 | Web Link |
| 20 | Jajayaprakasam R | Machine Learning | Zeitschrift Physikalische Chemie | Design, Synthesis And Characterization Of Hydrogen Bonded Binary Liquid Crystal Complex From 4-Methoxycinnamic Acid And 4-Hexyloxybenzoic Acid (4MCA:6OBA) | 2017 | Web Link |
| 21 | Jajayaprakasam R | Machine Learning | Molecular Crystal And Liquid Crystals | Thermal And Optical Studies On Induced Smectic Phases Of Inter Molecular Hydrogen Bonded Liquid Crystals Between Decyloxy Benzoic Acid And Citric Acid | 2017 | Web Link |
| 22 | Jajayaprakasam R | Machine Learning | Journal Of Dispersion Science And Technology | Experimental Investigation On The Effect Of Mesogenic Ratio In Hydrogen-Bonded Liquid Crystal Complexes | 2017 | Web Link |
| 23 | Jajayaprakasam R | Machine Learning | Ferroelectrics | Observation Of Induced New Smectic Phase In Supramolecular Hydrogen Bonded Liquid Crystals Between Mesogenic And Non-Mesogenic Aliphatic Compounds | 2017 | Web Link |
| 24 | Jajayaprakasam R | Machine Learning | Brazilian Journal Of Physics | Induced Smectic X Phase Through Intermolecular Hydrogen-Bonded Liquid Crystals Formed Between Citric Acid And P-N-(Octyloxy)Benzoic Acid | 2017 | Web Link |
| 25 | Jajayaprakasam R | Machine Learning | International Journal Of Modern Physics B | Study Of Variation In Thermal Width Of Nematic And Induced Smectic Ordering Phase Of Citric Acid (CA) And 4-Heptyloxybenzoic Acid (7OBA) Hydrogen Bonded Liquid Crystal Complexes | 2017 | Web Link |
| 26 | Jajayaprakasam R | Machine Learning | Journal Of Molecular Liquids | Theoretical (DFT) And Experimental Studies On Multiple Hydrogen Bonded Liquid Crystals Comprising Between Aliphatic And Aromatic Acids | 2017 | Web Link |
| 27 | Jajayaprakasam R | Machine Learning | International Journal Of Modern Physics B | Experimental And Computational (DFT) Studies On Induced Orthogonal Smectic A Phase In Hydrogen-Bonded Ferroelectric Liquid Crystals | 2018 | Web Link |
| 28 | Jajayaprakasam R | Machine Learning | VSRD International Journal Of Technical & Non-Technical Research, V | Observation Of Induced Higher Order Smectic Phase From Multiple Hydrogen Bonded Liquid CrystalCOMPLEX OF CITRIC ACID AND PENTYLOXYBENZOIC ACID | 2018 | Web Link |
| 29 | Jajayaprakasam R | Machine Learning | Phase Transition | Experimental And Computational Studies On Induced Thermochromic Effect And Re-Entrant Smectic Phase In Linear Double Hydrogen-Bonded Binary Liquid Crystal Mixtures | 2018 | Web Link |
| 30 | Jajayaprakasam R | Machine Learning | Journal Of The Korean Physical Society, | Investigation On Induced Non-Tilted Smectic A * And Thermochromic Eect In Tilted Smectic C Phase Of Linear Double Hydrogen Bonded Ferroelectric Liquid Crystals | 2018 | Web Link |
| 31 | Jajayaprakasam R | Machine Learning | Phase Transition | Experimental And Computational Studies On Induced Thermochromic Effect And Re-Entrant Smectic Phase In Linear Double Hydrogen-Bonded Binary Liquid Crystal Mixtures | 2019 | Web Link |
| 32 | Jajayaprakasam R | Machine Learning | Journal Of The Korean Physical Society, | Investigation On Induced Non-Tilted Smectic A * And Thermochromic Eect In Tilted Smectic C Phase Of Linear Double Hydrogen Bonded Ferroelectric Liquid Crystals | 2019 | Web Link |
| 33 | Jajayaprakasam R | Machine Learning | Molecular Crystals And Liquid Crystals | Theoretical And Experimental Studies On Optically Tunable Hydrogen Bonded Liquid Crystal Complex Derived From Mesogenic And Non-Mesogenic Aromatic Compound | 2019 | Web Link |
| 34 | Jajayaprakasam R | Machine Learning | International Journal Of Innovative Technology And Exploring Engineering (IJITEE) | Thermal And Optical Characterization Of Linear Hydrogen Bonded Supramolecular Liquid Crystal Mixture | 2019 | Web Link |
| 35 | Jajayaprakasam R | Machine Learning | Russian Journal Of Physical Chemistry A | Thermal And Optical Characterization Of Multiple Hydrogen BondeLiquid Crystals And Its Application In Display Devices | 2019 | Web Link |
| 36 | Jajayaprakasam R | Machine Learning | Canadian Journal Of Physics | Thermal And Optical Characterization Of Multiple Hydrogen Bonded Liquid Crystals Derived From Mesogenic And Non-Mesogenic Compounds:Experimental And Theoretical (DFT) Studies | 2020 | Web Link |
| 37 | Jajayaprakasam R | Machine Learning | Brazilian Journal Of Physics | Experimental And DFT Studies On Thermochromism Induced Binary HBLC Mixture | 2019 | Web Link |
| 38 | Jajayaprakasam R | Machine Learning | Journal Of Theoretical And Computational Chemistry | Homology Modeling And Substrate Binding Study Of Human Kynurenine Aminotransferase Iii | 2012 | Web Link |
| 39 | Jajayaprakasam R | Machine Learning | Journal Of Molecular Structure | DFT Study Of Glycosyl Group Reactivity In Quercetin Derivatives | 2016 | Web Link |
| 40 | Jajayaprakasam R | Machine Learning | Materials Chemistry And Physics | Α-MnO2 Nanorod/Onion-Like Carbon Composite Cathode Material For Aqueous Zinc-Ion Battery | 2019 | Web Link |
| 41 | Jajayaprakasam R | Machine Learning | Journal Of Theoretical And Computational Chemistry | A DFT Study On The Role Of Different Oh Groups In The Radical Scavenging Process | 2012 | Web Link |
| 42 | Jajayaprakasam R | Machine Learning | Macromolecular Symposia | Synthesis And Characterization Of Aniline And 4-Fluoroaniline Conducting Copolymer Composites Doped With Silver Nanoparticles | 2016 | Web Link |
| 43 | Jajayaprakasam R | Machine Learning | International Journal Of ChemTech Research | Phase Behaviour Studies Of Intermolecular Hydrogen Bonded Binary Liquid Crystal Complex | 2015 | Web Link |
| 44 | Manivannan C | Machine Learning | Journal Of Luminescence | A Study On The fluorescence Quenching Of 9-Aminoacridine By Certain Antioxidants | 2011 | Web Link |
| 45 | Manivannan C | Machine Learning | Journal Of Solution Chemistry | Fluorescence Quenching Of Tris(2,2 -Bipyridine)Ruthenium(II) Dichloride By Certain Organic Dyes | 2010 | Web Link |
| 46 | Manivannan C | Machine Learning | Spectrochimica Acta Part A: Molecular And Biomolecular Spectroscopy | An Investigation On The Fluorescence Quenching Of 9-Aminoacridine By Certain Pyrimidines | 2011 | Web Link |
| 47 | Manivannan C | Machine Learning | Spectrochimica Acta Part A: Molecular And Biomolecular Spectroscopy | Spectroscopic Investigation On The Interaction Of 9-Aminoacridine With Certain Dyes | 2011 | Web Link |
| 48 | Manivannan C | Machine Learning | Spectrochimica Acta Part A: Molecular And Biomolecular Spectroscopy | Studies On The Inclusion Behavior Of 9-Aminoacridine Into Cyclodextrins: Spectroscopic And Theoretical Evidences | 2011 | Web Link |
| 49 | Manivannan C | Machine Learning | Journal Of Fluorescence | Investigations On Photoinduced Interaction Of 9-Aminoacridine With Certain Catechols And Rutin | 2012 | Web Link |
| 50 | Manivannan C | Machine Learning | Spectrochimica Acta Part A: Molecular And Biomolecular Spectroscopy | Interaction Of Acriflavine With Pyrimidines: A Spectroscopic Approach | 2013 | Web Link |
| 51 | Manivannan C | Machine Learning | Spectrochimica Acta Part A: Molecular And Biomolecular Spectroscopy | Investigation On The Inclusion And Toxicity Of Acriflavine With Cyclodextrins: A Spectroscopic Approach | 2014 | Web Link |
| 52 | Manivannan C | Machine Learning | Zur Physics Chemie | A Spectroscopic Approach With Theoretical Studies To Study The Interaction Of 9-Aminoacridine With Certain Phenols | 2016 | Web Link |
| 53 | Manivannan C | Machine Learning | International Journal Of Engineering Science Invention Research & Development | A Study On The Physico-Chemical Analysis Of Ground Water Quality In The Villages Of Odathurai Panchayat, Erode District, Tamilnadu | 2016 | Web Link |
| 54 | Manivannan C | Machine Learning | Journal Of Bionanoscience | Investigation On The Intercalation And Toxicity Of 9-Aminoacridine In Zinc/Aluminium Layered Double Hydroxide Nanocomposites With Controlled Release Properties | 2017 | Web Link |
| 55 | Manivannan C | Machine Learning | Spectrochimica Acta Part A: Molecular And Biomolecular Spectroscopy | Spectroscopic Investigation And Computational Studies On The Interaction Of Acriflavine With Various Estrogens | 2019 | Web Link |
| 56 | Manivannan C | Machine Learning | Research Journal Of Chemistry And Environment | A Novel Pyrimidine Compound Ethyl-4-(2,4- Dichlorophenyl)-1,2,3,4-Tetrahydro-6-Methyl-2- Thioxopyrimidine-5-Carboxylate As An Efficient Antioxidant Agent | 2019 | Web Link |
| 57 | Muthukumar P | Machine Learning | Textile Coloration And Finishing | Synthesis Of Novel Morpholine Appended Crystal Violet Lactone Derivatives And An Investigation Of Their Thermochromic Behavior | 2018 | Web Link |
| 58 | Muthukumar P | Machine Learning | Molecular Crystals And Liquid Crystals | Synthesis Of Octa-Phenoxy Substituted Metallophthalocyanines And Their Green Color Filter Application In Liquid Crystal Display | 2017 | Web Link |
| 59 | Muthukumar P | Machine Learning | Sensors And Actuators B | Highly Sensitive Detection Of HCl Gas Using A Thin Film Of Meso-Tetra(4-Pyridyl)Porphyrin Coated Glass Slide By Optochemical Method | 2011 | Web Link |
| 60 | Muthukumar P | Machine Learning | New Journal Of Chemistry | Synergistic Effect Of Gold Nanoparticles And Amine Functionalized Cobalt Porphyrin On Electrochemical Oxidation Of Hydrazine | 2014 | Web Link |
| 61 | Muthukumar P | Machine Learning | Journal Of Colloid And Interface Science | Gold Nanoparticles Decorated On Cobalt Porphyrin-Modified Glassy Carbon Electrode For The Sensitive Determination Of Nitrite Ion | 2014 | Web Link |
| 62 | Muthukumar P | Machine Learning | Sensors And Actuators B | Optochemical Ammonia Gas Sensing Properties Of Meso-Substituted Porphyrin Derivatives Immobilized Nafion Film On Glass Slide | 2012 | Web Link |
| 63 | Muthukumar P | Machine Learning | Electrochimica Acta | Effect Of Amine Substituted At Ortho And Para Positions On The Electrochemical And Electrocatalytic Properties Of Cobalt Porphyrins Self-Assembled On Glassy Carbon Surface | 2014 | Web Link |
| 64 | Muthukumar P | Machine Learning | Fibers And Polymers | Synthesis And Characterization Of Water-Soluble Phthalocyanine Copper(II) Complex And Its Coloration On Acrylic Fibers | 2015 | Web Link |
| 65 | Muthukumar P | Machine Learning | KONA Powders And Particles | A Novel Fluorescent Chemosensor Based On Β-(2-Pyridyl)Acrolein-Rhodamine B Derivative: Polymer Particle Interaction With An Enhanced Sensing Performance | 2015 | Web Link |
| 66 | Muthukumar P | Machine Learning | Dyes And Pigments | Synthesis Of Novel Tert-Butyl Substituted Fluorans And An Investigation Of Their Thermochromic Behavior | 2016 | Web Link |
| 67 | Muthukumar P | Machine Learning | Sensors And Actuators B | A New Rhodamine 6 G Based Chemosensor For Trace Level Al3+ And Its Thin Film Application In 100% Aqueous Medium | 2016 | Web Link |
| 68 | Pachamuthu P | Machine Learning | Elsevier -Colloids And Surfaces A: Physicochemical And Engineering Aspects | A Remarkable Improvement In Photocatalytic Activity Of ZnO Nanoparticles Through Sr Doping Synthesized By One Pot Flash Combustion Technique For Water Treatments | 2020 | Web Link |
| 69 | Pachamuthu P | Machine Learning | Elsevier - Optics And Laser Technology | Strong Hydrogen Bonding Wide Bandgap Single Crystal For Optical And Electronic Applications | 2019 | Web Link |
| 70 | Pachamuthu P | Machine Learning | Phase Transitions: A Multinational Springer – SN Applied Sciences | Tungsten Oxide Modified AlTUD-1 Mesoporous Acid Catalyst For Synthesis Of Thiazole Aryl Imines And Phenylhydrazones | 2019 | Web Link |
| 71 | Pachamuthu P | Machine Learning | Elsevier - Microporous And Mesoporous Materials | Preparation Of Mesoporous Stannosilicates SnTUD-1 And Catalytic Activity In Levulinic Acid Esterification | 2019 | Web Link |
| 72 | Pachamuthu P | Machine Learning | Springer-Journal Of Inorganic And Organometallic Polymers And Materials | Fine Copper Nanoparticles On Amine Functionalized SBA-15 As An Effective Catalyst For Mannich Reaction And Dye Reduction | 2019 | Web Link |
| 73 | Pachamuthu P | Machine Learning | Elsevier – Surface And Interfaces | Arachis Hypogaea Derived Activated Carbon/Pt Catalyst: Reduction Of Organic Dyes | 2018 | Web Link |
| 74 | Pachamuthu P | Machine Learning | Elsevier – Journal Of Molecular Structure, | Aluminium And Titanium Modified Mesoporous TUD-1: A Bimetal Acid Catalyst For Biginelli Reaction | 2018 | Web Link |
| 75 | Pachamuthu P | Machine Learning | ASP – Journal Of Nanoscience And Nanotechnology | Synthesis Of Bimetal Fe And Cu Altered TUD-1: A Mesoporous Catalyst For Phenol Hydroxylation Reaction | 2018 | Web Link |
| 76 | Pachamuthu P | Machine Learning | Elsevier - Applied Surface Science | Fenton-Like Degradation Of Bisphenol A Catalyzed By Mesoporous Cu/TUD-1 | 2017 | Web Link |
| 77 | Pachamuthu P | Machine Learning | Elsevier - Applied Surface Science | Synthesis And Characterizations Of Isolated WO4 Anchored On Mesoporous TiTUD-1 Support | 2017 | Web Link |
| 78 | Pachamuthu P | Machine Learning | Elsevier - Applied Catalysis B-Environmental | Cu And Fe Oxides Dispersed On SBA-15: A Fenton Type Bimetallic Catalyst For N,N-Diethyl-P-Phenyl Diamine Degradation | 2016 | Web Link |
| 79 | Pachamuthu P | Machine Learning | Springer – Journal Of Porous Materials | Lewis Acidic Mesoporous Fe-TUD-1 As Catalysts For Synthesis Of Hantzsch 1,4-Dihydropyridine Derivatives | 2015 | Web Link |
| 80 | Pachamuthu P | Machine Learning | Springer - Journal Of Porous Materials | Preparation And Characterization Of Mesostructured Zr-SBA-16: Efficient Lewis Acidic Catalyst For Hantzsch Reaction | 2015 | Web Link |
| 81 | Sathish V | Machine Learning | Chemistry Select | Phosphorescence “Turn-On” Sensing Of Anions By Rhenium (I) Schiff-Base Complexes | 2018 | Web Link |
| 82 | Sathish V | Machine Learning | Coordination Chemistry Reviews | Recent Developments On Optical And Electrochemical Sensing Of Copper(II) Ion Based On Transition Metal Complexes | 2017 | Web Link |
| 83 | Sathish V | Machine Learning | Journal Of Photochemistry And Photobiology C: Photochemistry Reviews | Aggregation Induced Phosphorescence Enhancement (AIPE) Characteristics Based On Transition Metal Complexes – An Overview | 2015 | Web Link |
| 84 | Sathish V | Machine Learning | New Journal Of Chemistry | Aggregation Induced Emission Enhancement (AIEE) Of Tripodal Pyrazole Derivatives For Sensing Of Nitroaromatics; Vapor Phase Detection Of Picric Acid | 2019 | Web Link |
| 85 | Sathish V | Machine Learning | Spectrochimica Acta Part A: Molecular And Biomolecular Spectroscopy | Host-Guest Interaction Studies Of Polycyclic Aromatic Hydrocarbons (PAHs) In Alkoxy Bridged Binuclear Rhenium (I) Complexes | 2019 | Web Link |
| 86 | Sathish V | Machine Learning | Journal Of Bionanoscience | Electrochemical Sensor For Catechol Based On A Polyaniline-Tyrosinase Recognition Element | 2018 | Web Link |
| 87 | Sathish V | Machine Learning | Inorganic Chemistry Communications | Thermal Analysis Of Hydrogen-Bonded Ferroelectric Liquid Crystals | 2018 | Web Link |
| 88 | Sathish V | Machine Learning | Luminescence | Aggregation Induced Emission Enhancement (AIEE) Of Anthracene Derived Schiff- Base Compounds And Their Applications As Sensor For BSA And Optical Cell Imaging | 2018 | Web Link |
| 89 | Sathish V | Machine Learning | Dalton Transactions | Development Of Luminescent Sensors Based On Transition Metal Complexes For The Detection Of Nitroexplosives | 2017 | Web Link |
| 90 | Sathish V | Machine Learning | Spectrochimica Acta Part A: Molecular And Biomolecular Spectroscopy | Aggregation Induced Emission Enhancement (AIEE) Characteristics Of Quinoline Based Compound — A Versatile Fluorescent Probe For PH, Fe(III) Ion, BSA Binding And Optical Cell Imaging | 2017 | Web Link |
| 91 | Sathish V | Machine Learning | Sensors And Actuators B: Chemical | Luminescent Sensor For Copper(II) Ion Based On Imine Functionalized Monometallic Rhenium(I) Complexes | 2017 | Web Link |
| 92 | Sathish V | Machine Learning | Inorganic Chemistry Communications | Sensing Of Insulin Fibrillation Using Alkoxy-Bridged Binuclear Rhenium(I) Complexes | 2016 | Web Link |
| 93 | Sathish V | Machine Learning | RSC Advances | Synthesis And Characterization Of Monometallic Rhenium(I) Complexes And Their Application As Selective Sensors For Copper(Ii) Ions | 2015 | Web Link |
| 94 | Sathish V | Machine Learning | Talanta | Sensing And Inhibition Of Amyloid-Β Based On The Simple Luminescent Aptamer-Ruthenium Complex System. | 2015 | Web Link |
| 95 | Sathish V | Machine Learning | Talanta | Alkoxy Bridged Binuclear Rhenium (I) Complexes As A Potential Sensor For Β-Amyloid Aggregation | 2014 | Web Link |
| 96 | Lakshmi Narayana M Mohan Mln | Subhapriya P | Spectrochimica Acta Part A: Molecular And Biomolecular Spectroscopy | Experimental And Theoretical Investigation Of P–N Alkoxy Benzoic Acid Based Liquid Crystals – A DFT Approach | 2014 | Web Link |
| 97 | Subhapriya P | Machine Learning | Journal Of Chemical Sciences | Photo-Induced Antimicrobial And DNA Cleavage Studies Of Indoloquinolines And 1,8-Naphtharidine | 2013 | Web Link |
| 98 | Subhapriya P | Machine Learning | Molecular Crystals And Liquid Crystals | Study And Characterization Of Double Hydrogen-Bonded Liquid Crystals Comprising P-N Alkoxy Benzoic Acids With Azelaic And Dodecane Dicarboxlic Acids | 2011 | Web Link |
| 99 | Subhapriya P | Machine Learning | Molecular Crystals And Liquid Crystals | Synthesis And Characterization Of Supramolecular Hydrogen-Bonded Liquid Crystals Comprising Of P-N-Alkyloxy Benzoic Acids With Suberic Acid And Pimelic Acid | 2013 | Web Link |
| 100 | Subhapriya P | Machine Learning | Molecular Crystals And Liquid Crystals | TD-DFT, NBO Analyses, Electronic And NLO Properties Of Hydrogen-Bonded Undecyloxy Benzoic Acid With Suberic Acid Mesogen | 2017 | Web Link |
| 101 | Subhapriya P | Machine Learning | Journal Of Nanoscience And Nanotechnology | Synthesis Of Bimetal Fe And Cu Altered TUD-1: A Mesoporous Catalyst For Phenol Hydroxylation Reaction | 2018 | Web Link |
| 102 | Subhapriya P | Machine Learning | AIP Conference Proceedings | Theoretical Investigations On The Structure And Properties Of P-N-Alkoxy Benzoic Acid Based Liquid Crystals | 2016 | Web Link |
| 103 | Subhapriya P | Machine Learning | Journal Of Molecular Structure | Experimental And Theoretical Investigations Of An Organic Nonlinear Optical Material P-Toluidinium Picrate E A Comparative Study | 2019 | Web Link |
| 104 | Subhapriya P | Machine Learning | Research Journal Of Chemistry And Environment | Transition Metal Complexes Of Substituted Nicotinic Acid And Its Nano Metal Oxides: Synthesis And Characterization | 2019 | Web Link |
| 105 | Vijayakumar V | Machine Learning | International Journal Of Chemical And Technology | Enzymatic Saccharification, Morphology, And Thermal Properties Of Starch From Various Botanical Sources | 2018 | Web Link |
| 106 | Viswanathan G | Machine Learning | Science Of The Total Environment | Mapping Of Fluoride Endemic Areas And Assessment Of Fluoride Exposure | 2009 | Web Link |
| 107 | Viswanathan G | Machine Learning | Water Research | Assessment Of Water Contribution On Total Fluoride Intake Of Various Age Groups Of People In Fluoride Endemic And Non-Endemic Areas Of Dindigul District, Tamil Nadu, South India | 2010 | Web Link |
| 108 | Viswanathan G | Machine Learning | Journal Of Bone And Mineral Metabolism | Assessment Of Fluoride-Induced Changes On Physicochemical And Structural Properties Of Bone And The Impact Of Calcium On Its Control In Rabbits | 2012 | Web Link |
| 109 | Viswanathan G | Machine Learning | Applied Water Science | Prevalence Of Fluorosis And Identification Of Fluoride Endemic Areas In Manur Block Of Tirunelveli District, Tamil Nadu, South India | 2012 | Web Link |
| 110 | Viswanathan G | Machine Learning | Advances In Dentistry & Oral Health | Role Of Carbonic Anhydrase And Triiodothyronine In Dental Caries Affected Children In Fluorosis Endemic Areas | 2018 | Web Link |
| 111 | Viswanathan G | Machine Learning | Environmtal Monitoring And Assessment | Dose-Dependent Effect Of Fluoride On Clinical And Subclinical Indices Of Fluorosis In School Going Children And Its Mitigation By Supply Of Safe Drinking Water For 5 Years: An Indian Study | 2018 | Web Link |
| 112 | Viswanathan G | Machine Learning | International Journal Of Pure And Applied Mathematics | Prediction Of Suitable Leafy Vegetables And Medicinal Plants For Reducing Fluoride Toxicity | 2018 | Web Link |
| 113 | Viswanathan G | Machine Learning | Research Journal Of Chemistry And Environment | Assessment Of Fluoride Exposure And Dental Fluorosis Risk Through Tea Drinking In Dindigul District, Tamilnadu, India | 2019 | Web Link |
| 114 | Viswanathan G | Machine Learning | Advances In Dentistry & Oral Health | Comparison Of Fluoride Levels (Total And Extracted) In Young, Old Tea Leaves And Market Tea Samples Along With Impact Of Tea Infusion On Dental Fluorosis In Fluoride Endemic Villages Of Nalgonda District, India | 2019 | Web Link |
| 115 | Viswanathan G | Machine Learning | Science Of The Total Environment | Determining The Optimal Fluoride Concentration In Drinking Water For Fluoride Endemic Regions In South India | 2009 | Web Link |
| 116 | Viswanathan G | Machine Learning | Current Science | Determination Of Calcium Dose For Minimizing Fluoride Bioavailability In Rabbits | 2008 | Web Link |