발행물

전체 논문

52

11

Ultra-scaled Contacts to Monolayer MoS2 Field Effect Transistors.
Schranghamer, T. F., Sakib, N., Sadaf, M., Subbulakshmi Radhakrishnan, S., Pendurthi, R., Agyapong, A. D., Stepanoff, S. P., Torsi, R., Chen, C., Redwing, J. M., Robinson, J. A., Wolfe, D. F., Mohney, S. E., Das, S
Nano letters, 2023

12

Graphene Strain-Effect Transistor with Colossal ON/OFF Current Ratio Enabled by Reversible Nanocrack Formation in Metal Electrodes on Piezoelectric Substrates.
Zheng, Y., Sen, D., Das, S., Das, S
Nano Letters, 2023

13

Hardware and Information Security Primitives Based on Two‐Dimensional Materials and Devices.
Wali, A., Das, S
Advanced Materials, 2023

14

Insect-Inspired, Spike-Based, in-Sensor, and Night-Time Collision Detector Based on Atomically Thin and Light-Sensitive Memtransistors.
Jayachandran, D., Pannone, A., Das, M., Schranghamer, T. F., Sen, D., Das, S
ACS Nano, 2023

15

A Monolithic Stochastic Computing Architecture for Energy Efficient Arithmetic.
Ravichandran, H., Zheng, Y., Schranghamer, T. F., Trainor, N., Redwing, J. M., Das, S
Advanced Materials, 2023

16

Active pixel sensor matrix based on monolayer MoS2 phototransistor array.
Dodda, A., Jayachandran, D., Pannone, A., Trainor, N., Stepanoff, S. P., Steves, M. A., Subbulakhshmi Radhakrishnan, S., Bachu, S., Ordonez, C. W., Shallenberger, J. R., Redwing, J. M., Knappenberger, K., Wolfe, D. E., Das, S
Nature Materials

17

A Bio-inspired and Low-power 2D Machine Vision with Adaptive Machine Learning and Forgetting.
Dodda, A., Jayachandran, D., Pannone, A., Subbulakhshmi Radhakrishnan, S., Trainor, N., Redwing, J. M., Das, S
ACS Nano, 2022

18

An All-in-One Bio-inspired Neural Network.
Subbulakshmi Radhakrishnan, S., Dodda, A., Das, S
ACS Nano, 2022

19

Logic Locking of Integrated Circuits Enabled by Nanoscale MoS2-Based Memtransistors.
Chakrabarti, S., Wali, A., Ravichandran, H., Kundu, S., Schranghamer, T. F., Basu, K., Das, S
ACS Applied Nano Materials

20

Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks.
Sebastian, A., Pendurthi, R., Kozhakhmetov, A., Trainor, N., Robinson, J. A., Redwing, J. M., Das, S.
Nature Communications, 2022