Karthik Nayani Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
Research Areas
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Biography and Research Information
OverviewAI-generated summary
```json { "narrative": "Karthik Nayani's research program investigates the development and application of novel biomaterials, with a particular focus on liquid crystalline systems and their interactions with biological entities. He has received a \$500,000 NSF CAREER award to explore liquid-liquid crystal phase separation in solutions of rod-shaped particles for the design of functional materials. His work also extends to studying the effects of heat stress on cellular properties in commercial broiler lines and their avian ancestors, examining gene expression and mechanical properties of red and white blood cells.\n\nNayani's publications demonstrate a range of interests, including the hierarchical chirality transfer in polymer nanohelices, the self-assembly of amphiphilic β-peptides, and the manipulation of giant unilamellar vesicle shapes using phase cycles. He has also explored liquid crystalline collagen assemblies for directed alignment of human Schwann cells. A significant area of his recent work involves the rapid sensing of heat stress using machine learning applied to red blood cells dispersed in liquid crystals, and the development of liquid crystal-based biomaterial platforms for this purpose.\n\nHis collaborations at the University of Arkansas at Fayetteville include joint publications with Elizabeth Adeogun, Homa Ghaiedi, Leonard A. Harris, and Sara Orlowski. Nayani maintains an active lab website to showcase his research activities.", "topics": [ "Liquid Crystals", "Machine Learning Applications", "Biomaterials", "Heat Stress Disorders", "Cellular Mechanics and Interactions", "Protein Structure and Dynamics", "Materials Science Research", "Livestock and Poultry Management" ] } ```
Metrics
- h-index: 12
- Publications: 46
- Citations: 642
Selected Publications
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Introduction to optical microscope and image formation (2025)
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Experiment 4: Liquid crystals, phase transitions, morphologies, and defects (2025)
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Experiment 2: Comparison of a real space image and q-space (diffraction) image for size measurement (2025)
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Experiment 7: Structural color and iridescence of Morpho butterfly (2025)
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Experiment 1: Getting to know your optical microscope (DM 750P) and its basic software (2025)
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Experiment 6: Polymer crystallization (2025)
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Experiment 3: Microporous polymer films and 2D diffraction (2025)
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Through a Modern Microscope (2025)
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Experiment 5: Features in liquid crystal display (LCD) (2025)
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Computationally Guided Liquid Crystal‐Based Competitive Binding Sensing Platform for Optical Detection of Spike Protein (2025)
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Liquid crystalline collagen assemblies as substrates for directed alignment of human Schwann cells (2024)
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A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning (2024)
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Effects of heat stress on cyto(chemo)kine and inflammasome gene expression and mechanical properties in isolated red and white blood cells from 4 commercial broiler lines and their ancestor jungle fowl (2022)
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Surfaces Decorated with Enantiomorphically Pure Polymer Nanohelices via Hierarchical Chirality Transfer across Multiple Length Scales (2021)
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Sculpting the shapes of giant unilamellar vesicles using isotropic–nematic–isotropic phase cycles (2021)
Federal Grants 1 $500,000 total
Collaboration Network
Top Collaborators
- Experiment 5: Features in liquid crystal display (LCD)
- Through a Modern Microscope
- Experiment 3: Microporous polymer films and 2D diffraction
- Experiment 6: Polymer crystallization
- Experiment 1: Getting to know your optical microscope (DM 750P) and its basic software
Showing 5 of 9 shared publications
- Experiment 5: Features in liquid crystal display (LCD)
- Through a Modern Microscope
- Experiment 3: Microporous polymer films and 2D diffraction
- Experiment 6: Polymer crystallization
- Experiment 1: Getting to know your optical microscope (DM 750P) and its basic software
Showing 5 of 9 shared publications
- Surfaces Decorated with Enantiomorphically Pure Polymer Nanohelices via Hierarchical Chirality Transfer across Multiple Length Scales
- Cationic Side Chain Identity Directs the Hydrophobically Driven Self-Assembly of Amphiphilic β-Peptides in Aqueous Solution
- Sculpting the shapes of giant unilamellar vesicles using isotropic–nematic–isotropic phase cycles
- Effects of heat stress on cyto(chemo)kine and inflammasome gene expression and mechanical properties in isolated red and white blood cells from 4 commercial broiler lines and their ancestor jungle fowl
- Rapid Sensing of Heat Stress using Machine Learning of Micrographs of Red Blood Cells Dispersed in Liquid Crystals
- A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning
- Effects of heat stress on cyto(chemo)kine and inflammasome gene expression and mechanical properties in isolated red and white blood cells from 4 commercial broiler lines and their ancestor jungle fowl
- Rapid Sensing of Heat Stress using Machine Learning of Micrographs of Red Blood Cells Dispersed in Liquid Crystals
- A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning
- Effects of heat stress on cyto(chemo)kine and inflammasome gene expression and mechanical properties in isolated red and white blood cells from 4 commercial broiler lines and their ancestor jungle fowl
- Rapid Sensing of Heat Stress using Machine Learning of Micrographs of Red Blood Cells Dispersed in Liquid Crystals
- Rapid Sensing of Heat Stress using Machine Learning of Micrographs of Red Blood Cells Dispersed in Liquid Crystals
- A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning
- Rapid Sensing of Heat Stress using Machine Learning of Micrographs of Red Blood Cells Dispersed in Liquid Crystals
- A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning
- Liquid crystalline collagen assemblies as substrates for directed alignment of human Schwann cells
- Computationally Guided Liquid Crystal‐Based Competitive Binding Sensing Platform for Optical Detection of Spike Protein
- Cationic Side Chain Identity Directs the Hydrophobically Driven Self-Assembly of Amphiphilic β-Peptides in Aqueous Solution
- Cationic Side Chain Identity Directs the Hydrophobically Driven Self-Assembly of Amphiphilic β-Peptides in Aqueous Solution
- Cationic Side Chain Identity Directs the Hydrophobically Driven Self-Assembly of Amphiphilic β-Peptides in Aqueous Solution
- Cationic Side Chain Identity Directs the Hydrophobically Driven Self-Assembly of Amphiphilic β-Peptides in Aqueous Solution
- Cationic Side Chain Identity Directs the Hydrophobically Driven Self-Assembly of Amphiphilic β-Peptides in Aqueous Solution
- Cationic Side Chain Identity Directs the Hydrophobically Driven Self-Assembly of Amphiphilic β-Peptides in Aqueous Solution
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