Results for “"Vaithinathan Karthikeyan"”

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

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 ...

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

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...

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

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...

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

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...

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

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

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...

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

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...

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

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...

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

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

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...

May Zin Hlaing, Vaskuri C. S. Theja, Vaithinathan Karthikeyan, May Thawda Oo et al.

Abstract Topological insulators continue to be promising candidates for broadband photodetection owing to their robust surface states and superior optoelectronic properties. Here, an advanced heterojunction photodetector composed of p‐type Sb₂Te₃ and n‐type Bi₂Te₃ is reported, whose performance is s...

Padmanaban Radhakrishnan, A. Gayathri, Vaskuri CS Theja, Vaithinathan Karthikeyan et al.

Vaskuri C. S. Theja, Vaithinathan Karthikeyan, Sanjib Nayak, Samridhi Choudhary et al.