Search Results - "Sebastian, Amritanand"

Benchmarking monolayer MoS2 and WS2 field-effect transistors by Sebastian, Amritanand, Pendurthi, Rahul, Choudhury, Tanushree H., Redwing, Joan M., Das, Saptarshi

“…Here we benchmark device-to-device variation in field-effect transistors (FETs) based on monolayer MoS 2 and WS 2 films grown using metal-organic chemical…”
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A biomimetic neural encoder for spiking neural network by Subbulakshmi Radhakrishnan, Shiva, Sebastian, Amritanand, Oberoi, Aaryan, Das, Sarbashis, Das, Saptarshi

“…Spiking neural networks (SNNs) promise to bridge the gap between artificial neural networks (ANNs) and biological neural networks (BNNs) by exploiting…”
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An Annealing Accelerator for Ising Spin Systems Based on In‐Memory Complementary 2D FETs by Sebastian, Amritanand, Das, Sarbashis, Das, Saptarshi

“…Metaheuristic algorithms such as simulated annealing (SA) are often implemented for optimization in combinatorial problems, especially for discreet problems…”
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Stochastic resonance in MoS2 photodetector by Dodda, Akhil, Oberoi, Aaryan, Sebastian, Amritanand, Choudhury, Tanushree H., Redwing, Joan M., Das, Saptarshi

“…In this article, we adopt a radical approach for next generation ultra-low-power sensor design by embracing the evolutionary success of animals with…”
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Gaussian synapses for probabilistic neural networks by Sebastian, Amritanand, Pannone, Andrew, Subbulakshmi Radhakrishnan, Shiva, Das, Saptarshi

“…The recent decline in energy, size and complexity scaling of traditional von Neumann architecture has resurrected considerable interest in brain-inspired…”
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A Sparse and Spike‐Timing‐Based Adaptive Photoencoder for Augmenting Machine Vision for Spiking Neural Networks by Subbulakshmi Radhakrishnan, Shiva, Chakrabarti, Shakya, Sen, Dipanjan, Das, Mayukh, Schranghamer, Thomas F., Sebastian, Amritanand, Das, Saptarshi

“…The representation of external stimuli in the form of action potentials or spikes constitutes the basis of energy efficient neural computation that emerging…”
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Transistors based on two-dimensional materials for future integrated circuits by Das, Saptarshi, Sebastian, Amritanand, Pop, Eric, McClellan, Connor J., Franklin, Aaron D., Grasser, Tibor, Knobloch, Theresia, Illarionov, Yury, Penumatcha, Ashish V., Appenzeller, Joerg, Chen, Zhihong, Zhu, Wenjuan, Asselberghs, Inge, Li, Lain-Jong, Avci, Uygar E., Bhat, Navakanta, Anthopoulos, Thomas D., Singh, Rajendra

“…Field-effect transistors based on two-dimensional (2D) materials have the potential to be used in very large-scale integration (VLSI) technology, but whether…”
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Mobility Deception in Nanoscale Transistors: An Untold Contact Story by Nasr, Joseph R., Schulman, Daniel S., Sebastian, Amritanand, Horn, Mark W., Das, Saptarshi

“…Mobility is a critical parameter that is routinely used for benchmarking the performance of field‐effect transistors (FETs) based on novel nanomaterials. In…”
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Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks by Sebastian, Amritanand, Pendurthi, Rahul, Kozhakhmetov, Azimkhan, Trainor, Nicholas, Robinson, Joshua A., Redwing, Joan M., Das, Saptarshi

“…Artificial neural networks have demonstrated superiority over traditional computing architectures in tasks such as pattern classification and learning…”
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In Situ Optical Tracking of Electroablation in Two-Dimensional Transition-Metal Dichalcogenides by Kumar, Anjli, Sebastian, Amritanand, Das, Saptarshi, Ringe, Emilie

“…Two-dimensional (2D) transition-metal dichalcogenides (TMDs) are a unique class of 2D materials possessing unique optoelectronic properties when exfoliated…”
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Monolayer Vanadium‐Doped Tungsten Disulfide: A Room‐Temperature Dilute Magnetic Semiconductor by Zhang, Fu, Zheng, Boyang, Sebastian, Amritanand, Olson, David H., Liu, Mingzu, Fujisawa, Kazunori, Pham, Yen Thi Hai, Jimenez, Valery Ortiz, Kalappattil, Vijaysankar, Miao, Leixin, Zhang, Tianyi, Pendurthi, Rahul, Lei, Yu, Elías, Ana Laura, Wang, Yuanxi, Alem, Nasim, Hopkins, Patrick E., Das, Saptarshi, Crespi, Vincent H., Phan, Manh‐Huong, Terrones, Mauricio

“…Dilute magnetic semiconductors (DMS), achieved through substitutional doping of spin‐polarized transition metals into semiconducting systems, enable…”
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Anomalous Corrosion of Bulk Transition Metal Diselenides Leading to Stable Monolayers by Huang, Yu-Ting, Dodda, Akhil, Schulman, Daniel S, Sebastian, Amritanand, Zhang, Fu, Buzzell, Drew, Terrones, Mauricio, Feng, Shien-Ping, Das, Saptarshi

“…In this paper we provide insight into an anomalous corrosion process, referred to as electroablation (EA), which converts multilayer flakes of transition metal…”
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Wafer-Scale Epitaxial Growth of Unidirectional WS2 Monolayers on Sapphire by Chubarov, Mikhail, Choudhury, Tanushree H, Hickey, Danielle Reifsnyder, Bachu, Saiphaneendra, Zhang, Tianyi, Sebastian, Amritanand, Bansal, Anushka, Zhu, Haoyue, Trainor, Nicholas, Das, Saptarshi, Terrones, Mauricio, Alem, Nasim, Redwing, Joan M

“…Realization of wafer-scale single-crystal films of transition metal dichalcogenides (TMDs) such as WS2 requires epitaxial growth and coalescence of oriented…”
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A low-power biomimetic collision detector based on an in-memory molybdenum disulfide photodetector by Jayachandran, Darsith, Oberoi, Aaryan, Sebastian, Amritanand, Choudhury, Tanushree H., Shankar, Balakrishnan, Redwing, Joan M., Das, Saptarshi

“…Accurately detecting a potential collision and triggering a timely escape response is critical in the field of robotics and autonomous vehicle safety. The…”
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Electrochemical Polishing of Two-Dimensional Materials by Sebastian, Amritanand, Zhang, Fu, Dodda, Akhil, May-Rawding, Dan, Liu, He, Zhang, Tianyi, Terrones, Mauricio, Das, Saptarshi

“…Two-dimensional (2D) layered materials demonstrate their exquisite properties such as high temperature superconductivity, superlubricity, charge density wave,…”
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Development of Two-Dimensional Transistors for Neuromorphic Computing and Simulated Annealing Applications by Sebastian, Amritanand

“…The recent decline in transistor scaling has motivated the exploration of novel materials, devices and computing architectures beyond the ageing Si technology…”
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Facile Electrochemical Synthesis of 2D Monolayers for High-Performance Thin-Film Transistors by Schulman, Daniel S, Sebastian, Amritanand, Buzzell, Drew, Huang, Yu-Ting, Arnold, Andrew J, Das, Saptarshi

“…In this paper, we report high-performance monolayer thin-film transistors (TFTs) based on a variety of two-dimensional layered semiconductors such as MoS2,…”
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Graphene and Beyond: Recent Advances in Two-Dimensional Materials Synthesis, Properties, and Devices by Lei, Yu, Zhang, Tianyi, Lin, Yu-Chuan, Granzier-Nakajima, Tomotaroh, Bepete, George, Kowalczyk, Dorota A., Lin, Zhong, Zhou, Da, Schranghamer, Thomas F., Dodda, Akhil, Sebastian, Amritanand, Chen, Yifeng, Liu, Yuanyue, Pourtois, Geoffrey, Kempa, Thomas J., Schuler, Bruno, Edmonds, Mark T., Quek, Su Ying, Wurstbauer, Ursula, Wu, Stephen M., Glavin, Nicholas R., Das, Saptarshi, Dash, Saroj Prasad, Redwing, Joan M., Robinson, Joshua A., Terrones, Mauricio

“…Since the isolation of graphene in 2004, two-dimensional (2D) materials research has rapidly evolved into an entire subdiscipline in the physical sciences with…”
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Wafer-Scale Epitaxial Growth of Unidirectional WS 2 Monolayers on Sapphire by Chubarov, Mikhail, Choudhury, Tanushree H, Hickey, Danielle Reifsnyder, Bachu, Saiphaneendra, Zhang, Tianyi, Sebastian, Amritanand, Bansal, Anushka, Zhu, Haoyue, Trainor, Nicholas, Das, Saptarshi, Terrones, Mauricio, Alem, Nasim, Redwing, Joan M

“…Realization of wafer-scale single-crystal films of transition metal dichalcogenides (TMDs) such as WS requires epitaxial growth and coalescence of oriented…”
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A Sparse and Spike-timing-based Adaptive Photo Encoder for Augmenting Machine Vision for Spiking Neural Networks by Radhakrishnan, Shiva Subbulakshmi, Chakrabarti, Shakya, Sen, Dipanjan, Das, Mayukh, Schranghamer, Thomas F, Sebastian, Amritanand, Das, Saptarshi

“…Representation of external stimuli in the form of action potentials or spikes constitute the basis of energy efficient neural computation that emerging spiking…”
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