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Results for “"Vellaisamy A. L. Roy"”

21+ results

Three dimensional architected thermoelectric devices with high toughness and power conversion efficiency

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Vaithinathan Karthikeyan, James Utama Surjadi, Xiaocui Li, Rong Fan et al.

Journal: Nature CommunicationsYear: 2023Citations: 83

Abstract For decades, the widespread application of thermoelectric generators has been plagued by two major limitations: heat stagnation in its legs, which limits power conversion efficiency, and inherent brittleness of its constituents, which accelerates thermoelectric generator failure. While not..

a.
Physical SciencesMaterials ScienceMaterials ChemistryOpen Access
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Emerging metal oxide based triboelectric nanogenerators for energy collection and self-powered sensing

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Weibin Chen, Shuzheng Liu, Jiaqing Zhuang, Dan Zhang et al.

Journal: Materials Science and Engineering R ReportsYear: 2025Citations: 19
Physical SciencesEngineeringBiomedical Engineering
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3D Architectural MXene‐based Composite Films for Stealth Terahertz Electromagnetic Interference Shielding Performance

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Vaskuri C. S. Theja, Dani S. Assi, Hongli Huang, Raghad Saud Alsulami et al.

Journal: Advanced Materials InterfacesYear: 2023Citations: 19

Abstract The terahertz frequency range is gaining popularity in security, stealth technology, and the future 6G network communication. For the control of severe terahertz electromagnetic interference (EMI) pollution, frequency‐selective stealth‐capable shielding materials are being explored to mask ...

Physical SciencesEngineeringAerospace EngineeringOpen Access
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Quantum Topological Neuristors for Advanced Neuromorphic Intelligent Systems

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Dani S. Assi, Hongli Huang, Vaithinathan Karthikeyan, Vaskuri C. S. Theja et al.

Journal: Advanced ScienceYear: 2023Citations: 18

Neuromorphic artificial intelligence systems are the future of ultrahigh performance computing clusters to overcome complex scientific and economical challenges. Despite their importance, the advancement in quantum neuromorphic systems is slow without specific device design. To elucidate biomimickin...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Decoding halide perovskites for neuromorphic and memristive devices

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Dimitra Das, Dani S. Assi, Samrana Kazim, Vellaisamy A. L. Roy et al.

Journal: Materials HorizonsYear: 2025Citations: 14

The von Neumann architecture serves as the foundation for computers by storing data and instructions in the same memory space; however, it limits the data transfer between the CPU and memory. The human brain is an avant-garde organic machine that connects electrical systems with its network of neuro...

Physical SciencesEngineeringElectrical and Electronic Engineering
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Non-precious metal high-entropy alloys for CO <sub>2</sub> electroreduction

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Runyu Xing, Xinyu Wang, Guanbo Wang, Zeyi Lu et al.

Journal: NanoscaleYear: 2025Citations: 14

A low-cost non-precious CuCoAlFeNi high-entropy alloy (HEA) for effective CO 2 reduction reaction was prepared using a simple solvothermal method. The CuCoAlFeNi HEA showed a Faraday efficiency of 36.56% towards CH 3 CH 2 OH in an H-type cell.

Physical SciencesEngineeringMechanical Engineering
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2D MXene Interface Engineered Bismuth Telluride Thermoelectric Module with Improved Efficiency for Waste Heat Recovery

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Vaskuri C. S. Theja, Vaithinathan Karthikeyan, Dani S. Assi, Hongli Huang et al.

Journal: Advanced Materials TechnologiesYear: 2024Citations: 13

Abstract Graphene analog MXenes are the best options for interface engineering traditional thermoelectric materials. For the first time, a composite‐engineered TEG device composed of heavily doped bismuth and antimony telluride with incorporated Ti 3 C 2 T x (MXene) nanoflakes is developed. Incorpor...

Physical SciencesMaterials ScienceMaterials ChemistryOpen Access
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Low Switching Power Neuromorphic Perovskite Devices with Quick Relearning Functionality

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Dani S. Assi, Muhammed P. U. Haris, Vaithinathan Karthikeyan, Samrana Kazim et al.

Journal: Advanced Electronic MaterialsYear: 2023Citations: 11

Abstract In the quest to reduce energy consumption, there is a growing demand for technology beyond silicon as electronic materials for neuromorphic artificial intelligence devices. Equipped with the criteria of energy efficiency and excellent adaptability, organohalide perovskites can emulate the c...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Tactile-Transparent Wearable Sensor for Clinician-Friendly Pulse Wave Velocity Monitoring and Cardiovascular Risk Profiling

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Senlin Hou, Xiaotong Chen, Dani S. Assi, Yu Feng et al.

Journal: ACS NanoYear: 2025Citations: 8

Arterial stiffening is an independent risk factor for cardiovascular diseases, particularly affecting organs with low vascular resistance, such as the brain and kidneys. Pulse wave velocity (PWV) is the clinical gold standard for arterial stiffness assessment; however, conventional equipment require...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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Graphitic carbon nitride sheets sandwiched metal oxides: A novel platform for S-Scheme heterojunction generation for efficient photodegradation of volatile organics

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Nandakumar Velu, Chandravadhana Arumugam, Vaithinathan Karthikeyan, Vellaisamy A. L. Roy et al.

Journal: Colloids and Surfaces A Physicochemical and Engineering AspectsYear: 2024Citations: 8
Physical SciencesEnergyRenewable Energy, Sustainability and the Environment
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Dispersion of InSb Nanoinclusions in Cu<sub>3</sub>SbS<sub>4</sub> for Improved Stability and Thermoelectric Efficiency

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Vaskuri C. S. Theja, Vaithinathan Karthikeyan, Dani S. Assi, Hongli Huang et al.

Journal: Advanced Energy and Sustainability ResearchYear: 2023Citations: 8

Thermoelectric‐based waste heat recovery requires efficient materials to replace conventional non‐eco‐friendly Te‐ and Pb‐based commercial devices. Ternary copper chalcogenide‐based famatinite (Cu 3 SbS 4 ) compound is one of the practical substitutes for traditional thermoelectric materials. Howeve...

Physical SciencesMaterials ScienceMaterials ChemistryOpen Access
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Porous-Structure Flexible Muscle Sensor for Monitoring Muscle Function and Mass

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Hongyu Zhang, Keer Wang, Jiao Suo, Clio Yuen Man Cheng et al.

Journal: ACS SensorsYear: 2025Citations: 7

Muscle function and composition are important indicators of age-related health. However, current assessment methods are often complex and expensive, making the early detection of related problems difficult. Therefore, developing a cost-effective and easily accessible daily based detection method is ...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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Topological Quantum Switching Enabled Neuroelectronic Synaptic Modulators for Brain Computer Interface

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Dani S. Assi, Hongli Huang, Vaithinathan Karthikeyan, Vaskuri C. S. Theja et al.

Journal: Advanced MaterialsYear: 2024Citations: 7

Abstract Aging and genetic‐related disorders in the human brain lead to impairment of daily cognitive functions. Due to their neural synaptic complexity and the current limits of knowledge, reversing these disorders remains a substantial challenge for brain–computer interfaces (BCI). In this work, a...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Charge‐Mediated Copper‐Iodide‐Based Artificial Synaptic Device with Ultrahigh Neuromorphic Efficacy

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Dani S. Assi, Hongli Huang, Kadir Ufuk Kandira, Nasser S. Alsulaiman et al.

Journal: physica status solidi (RRL) - Rapid Research LettersYear: 2023Citations: 5

In the realm of artificial intelligence, ultrahigh‐performance neuromorphic computing plays a significant role in executing multiple complex operations in parallel while adhering to a more biologically plausible model. Despite their importance, developing an artificial synaptic device to match the h...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Harnessing the synergistic advantages of functional modified (defect generated, Ni and S co-doped) TiO2/NiS S-scheme photocatalyst and halloysite nanotube support for efficient photodegradation of several volatile organics

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Dani S. Assi, Vaithinathan Karthikeyan, Padmanaban Radhakrishnan, K. Venkatramanan et al.

Journal: Journal of environmental chemical engineeringYear: 2025Citations: 4
Physical SciencesEnergyRenewable Energy, Sustainability and the Environment
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Comparative Evaluation of Thermophysical and Acoustical Properties of Binary Mixtures of Cumene + Methyl Acetate and Cumene + Ethyl Acetate over the Range of Molar Compositions and Temperatures from 298.15 to 318.15 K: Experimental Measurements and Application of Deviation Modeling

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Padmanaban Radhakrishnan, Gayathri Ahobilam, Seema Kapoor, A. Gopalan et al.

Journal: Journal of Chemical & Engineering DataYear: 2025Citations: 4

The viscosity (η), activation energy (Ea), density (ρ), ultrasonic velocity (U), and refractive index (nD) were determined for binary liquid mixtures of cumene (CM, an alkylbenzene) with ethyl acetate (EA) or methyl acetate (MA) over different mole fractions of CM (0.08–0.87) in a wide temperature r...

Physical SciencesChemical EngineeringFluid Flow and Transfer Processes
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Physical echo state network based on the nonlinearity and dynamic response of ambipolar heterostructure transistors

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Wen-Min Zhong, Wenbin Zhang, Yuxiang Zeng, J. Zhao et al.

Journal: Nature CommunicationsYear: 2026Citations: 3

In the field of neuromorphic computing, time-series prediction poses a significant challenge to recurrent neural network architectures, often requiring task-specific customization that limits the development of general-purpose computing platforms. In this work, we implement a physical echo-state net...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Highly Crystalline Covalent Organic Frameworks Thin Films Synthesized by Thermal Evaporation and Solvent Vapor Annealing

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Xiang Yang, Guanbo Wang, Zeyi Lu, Hongqiang Wang et al.

Journal: SmallYear: 2025Citations: 2

Abstract Porous crystalline covalent organic frameworks (COFs) suffer from the difficulty of forming crystalline thin films, which hinders their application in membrane devices. Here, a strategy is developed for forming highly crystalline 2D COFs thin films via unique in situ thermal evaporation fol...

Physical SciencesMaterials ScienceMaterials Chemistry
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Mapping of Spatiotemporal Auricular Electrophysiological Signals Reveals Human Biometric Clusters

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Qingyun Huang, Cong Wu, Senlin Hou, Kuanming Yao et al.

Journal: Advanced Healthcare MaterialsYear: 2022Citations: 2

Underneath the ear skin there are rich vascular network and sensory nerve branches. Hence, the 3D mapping of auricular electrophysiological signals can provide new biomedical perspectives. However, it is still extremely challenging for current sensing techniques to cover the entire ultra-curved auri...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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CHO cell dysfunction due to radiation-induced bystander signals observed by real-time electrical impedance measurement

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A. M. Ilyas, Md Kowsar Alam, Jamal‐Deen Musah, Mengsu Yang et al.

Journal: Biosensors and BioelectronicsYear: 2021Citations: 2

Radiation-induced bystander effects (RIBE) have raised many concerns about radiation safety and protection. In RIBE, unirradiated cells receive signals from irradiated cells and exhibit irradiation effects. Until now, most RIBE studies have been based on morphological and biochemical characterizatio...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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