Theory of Guided Acoustic Waves in Piezoelectric Solids - Supriyo Datta (1979)

Understanding nanoscale conductors. - Supriyo Datta (ISLPED, 2004)

Modeling circuits with spins and magnets for all-spin logic. - Behtash Behin-Aein; Angik Sarkar; Supriyo Datta (ESSDERC, 2012)

Evaluating Spintronic Devices Using The Modular Approach. - Samiran Ganguly; Kerem Yunus Çamsari; Supriyo Datta (CoRR, 2016)

A Pathway to Enable Exponential Scaling for the Beyond-CMOS Era: Invited. - Jianping Wang 006; Sachin S. Sapatnekar; Chris H. Kim; Paul A. Crowell; Steven J. Koester; Supriyo Datta; Kaushik Roy 001; Anand Raghunathan; Xiaobo Sharon Hu; Michael T. Niemier; Azad Naeemi; Chia-Ling Chien; et al. (DAC, 2017)

Hardware demonstration of stochastic p-bits for invertible logic. - Ahmed Zeeshan Pervaiz; Lakshmi Anirudh Ghantasala; Kerem Yunus Çamsari; Supriyo Datta (CoRR, 2017)

R-DBN: A Resistive Deep Belief Network Architecture Leveraging the Intrinsic Behavior of Probabilistic Devices. - Ramtin Zand; Kerem Yunus Çamsari; Ibrahim Ahmed 002; Steven D. Pyle; Chris H. Kim; Supriyo Datta; Ronald F. DeMara (CoRR, 2017)

Implementing Bayesian Networks with Embedded Stochastic MRAM. - Rafatul Faria; Kerem Yunus Çamsari; Supriyo Datta (CoRR, 2018)

p-Bits for Probabilistic Spin Logic. - Kerem Yunus Çamsari; Brian M. Sutton; Supriyo Datta (CoRR, 2018)

Probabilistic Computing with Binary Stochastic Neurons. - Ahmed Zeeshan Pervaiz; Supriyo Datta; Kerem Yunus Çamsari (BCICTS, 2019)

p-Bits for Probabilistic Computing. - Supriyo Datta (DRC, 2019)

Low Barrier Magnet Design for Efficient Binary Stochastic Neurons: Perpendicular vs In-plane. - Orchi Hassan; Rafatul Faria; Kerem Yunus Çamsari; Jonathan Z. Sun; Supriyo Datta (CoRR, 2019)

Autonomous Probabilistic Coprocessing with Petaflips per Second. - Brian M. Sutton; Rafatul Faria; Lakshmi Anirudh Ghantasala; Kerem Yunus Çamsari; Supriyo Datta (CoRR, 2019)

A Survey on Architecture Advances Enabled by Emerging Beyond-CMOS Technologies. - An Chen; Supriyo Datta; Xiaobo Sharon Hu; Michael T. Niemier; Tajana Simunic Rosing; J. Joshua Yang (IEEE Des. Test, 2019)

Voltage-Driven Building Block for Hardware Belief Networks. - Orchi Hassan; Kerem Yunus Çamsari; Supriyo Datta (IEEE Des. Test, 2019)

Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons. - Ramtin Zand; Kerem Yunus Çamsari; Supriyo Datta; Ronald F. DeMara (ACM J. Emerg. Technol. Comput. Syst., 2019)

Integer factorization using stochastic magnetic tunnel junctions. - William A. Borders; Ahmed Zeeshan Pervaiz; Shunsuke Fukami; Kerem Yunus Çamsari; Hideo Ohno; Supriyo Datta (Nat., 2019)

Autonomous Probabilistic Coprocessing With Petaflips per Second. - Brian M. Sutton; Rafatul Faria; Lakshmi Anirudh Ghantasala; Risi Jaiswal; Kerem Yunus Çamsari; Supriyo Datta (IEEE Access, 2020)

Probabilistic Circuits for Autonomous Learning: A Simulation Study. - Jan Kaiser; Rafatul Faria; Kerem Yunus Çamsari; Supriyo Datta (Frontiers Comput. Neurosci., 2020)

From Charge to Spin and Spin to Charge: Stochastic Magnets for Probabilistic Switching. - Kerem Yunus Çamsari; Punyashloka Debashis; Vaibhav Ostwal; Ahmed Zeeshan Pervaiz; Tingting Shen; Zhihong Chen; Supriyo Datta; Jörg Appenzeller (Proc. IEEE, 2020)

Quantitative Evaluation of Hardware Binary Stochastic Neurons. - Orchi Hassan; Supriyo Datta; Kerem Yunus Çamsari (CoRR, 2021)

Hardware-aware in-situ Boltzmann machine learning using stochastic magnetic tunnel junctions. - Jan Kaiser; William A. Borders; Kerem Yunus Çamsari; Shunsuke Fukami; Hideo Ohno; Supriyo Datta (CoRR, 2021)

Perspective: Probabilistic computing with p-bits. - Jan Kaiser; Supriyo Datta (CoRR, 2021)

Benchmarking a Probabilistic Coprocessor. - Jan Kaiser; Risi Jaiswal; Behtash Behin-Aein; Supriyo Datta (CoRR, 2021)

Hardware Design for Autonomous Bayesian Networks. - Rafatul Faria; Jan Kaiser; Kerem Yunus Çamsari; Supriyo Datta (Frontiers Comput. Neurosci., 2021)

Emulating Quantum Circuits With Generalized Ising Machines. - Shuvro Chowdhury; Kerem Yunus Çamsari; Supriyo Datta (IEEE Access, 2023)

Roadmap for Unconventional Computing with Nanotechnology. - Giovanni Finocchio; Supriyo Bandyopadhyay; Peng Lin; Gang Pan 001; J. Joshua Yang; Riccardo Tomasello; Christos Panagopoulos; Mario Carpentieri; Vito Puliafito; Johan Åkerman; Hiroki Takesue; Amit Ranjan Trivedi; et al. (CoRR, 2023)

A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms. - Shuvro Chowdhury; Andrea Grimaldi; Navid Anjum Aadit; Shaila Niazi; Masoud Mohseni; Shun Kanai; Hideo Ohno; Shunsuke Fukami; Luke Theogarajan; Giovanni Finocchio; Supriyo Datta; Kerem Yunus Çamsari (CoRR, 2023)

Heisenberg machines with programmable spin-circuits. - Saleh Bunaiyan; Supriyo Datta; Kerem Yunus Çamsari (CoRR, 2023)

Connecting physics to systems with modular spin-circuits. - Kemal Selcuk; Saleh Bunaiyan; Nihal Singh; Shehrin Sayed; Samiran Ganguly; Giovanni Finocchio; Supriyo Datta; Kerem Yunus Çamsari (CoRR, 2024)

12.2 p-Circuits: Neither Digital Nor Analog. - Ming-Che Li; Archisman Ghosh; Risi Jaiswal; Lakshmi Anirudh Ghantasala; Behtash Behin-Aein; Shreyas Sen; Supriyo Datta (ISSCC, 2025)

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm. - Risi Jaiswal; Supriyo Datta; Joseph G. Makin (CoRR, 2025)