Publications

Referred Journal Papers:

[1] L. Danial, N. Wainstein, S. Kraus, and S. Kvatinsky, “DIDACTIC: A Data-Intelligent Digital-to-Analog Converter with a Trainable Integrated Circuit using Memristors,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 8, No. 1, pp. 146-158, March 2018.

[2]  L. Danial, N. Wainstein, S. Kraus, and S. Kvatinsky, “Breaking Through the Speed-Power-Accuracy Tradeoff in ADCs using a Memristive Neuromorphic Architecture,” IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 2, No.5, pp. 396-409, October 2018.

[3] L. Danial, E. Pikhay, E. Herbelin, N. Wainstein, V. Gupta, N. Wald, Y. Roizin, R. Daniel, and S. Kvatinsky, “Two-Terminal Floating-Gate Transistors with a Low-Power Memristive Operation Mode for Analogue Neuromorphic Computing,” Nature Electronics, December 2019, doi:10.1038/s41928-019-0331-1.

[4] H. Abo Hana, L. Danial, S. Kvatinsky, and R. Daniel, “Cytomorphic Electronics with Memristors for Modeling Fundamental Genetic Circuits,” IEEE Transactions on Biomedical Circuits and Systems, (in press).

Referred Conference Papers:

[5] L. Danial, K. Sharma, and S. Kvatinsky, “A Pipelined Memristive Neural Network Analog-to-Digital Converter“, Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), May 2020.

[6] L. Danial, V. Gupta, E. Pikhay, Y. Roizin, and S. Kvatinsky, “Modeling a Floating-Gate Memristive Device for Computer Aided Design of Neuromorphic Computing,” Accepted to Proceedings of the Design, Automation and Test in Europe (DATE), March 2020. 

[7] L. Danial, K. Sharma, S. Dwivedi, and S. Kvatinsky, “Logarithmic Neural Network Data Converters using Memristors for Biomedical Applications“, Accepted to Proceedings of the IEEE Biomedical Circuits and Systems (BioCAS), October 2019.

[8] L. Danial, S. Thomas, and S. Kvatinsky, “Delta-Sigma Modulation Neurons for High-Precision Training of Memristive Synapses in Deep Neural Networks“, IEEE International Symposium on Circuits and Systems (ISCAS), May 2019.

[9] L. Danial, and S. Kvatinsky, “Real-Time Trainable Data Converters for General Purpose Applications “, Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, July 2018.

[10] H. Abo Hanna, L. Danial, S. Kvatinsky, and R. Daniel, “Memristors as Artificial Biochemical Reactions in Cytomorphic Systems“, Proceedings of the IEEE International Conference on Science of Electrical Engineering, December 2018.

[11] H. Abu Hanna, L. Danial, S. Kvatinsky, and R. Daniel, “Modeling Biochemical Reactions and Gene Networks with Memristors”, the IEEE proceedings of biomedical circuits and system, October 2017.

[12] L. Danial and S. Kvatinsky, “Memristive Artificial Neural Networks Based Analog to Digital Converter (ADC),” Proceedings of the Workshop on Memristor Technology, Design, Automation and Computing, January 2016.

[13] R. Daniel, L. Rizik, and L. Danial, “Design Principles of Data Converters for Building Large-Scale Gene Networks in Living Cells”, 4th ACM International Conference on Nanoscale Computing and Communication, September 2017.

 

Workshop, Tutorials, Posters, Talks, and Blogs: 

  1. L. Danial, and S. Kvatinsky, “Analog to Digital Converter with Adaptive Memristive Artificial Neural Network”, International event of the Israeli microelectronics industry Chipex, Tel Aviv, Israel, May 2017.
  2. L. Danial, and S. Kvatinsky, “Neuromorphic Data Converters with Memristors”, 2017 Stephen and Sharon Seiden Frontiers in Engineering and Science Workshop: Beyond CMOS: From Devices to Systems, Technion, Haifa, Israel, June 2017.
  3. L. Danial, N. Wainstein, and S. Kvatinsky, “Mixed-Signal Circuit Design with Memristors”, International Conference on Microwaves, Communications, Antennas and Electronic Systems, Tel Aviv, Israel, November 2017.
  4. L. Danial, and S. Kvatinsky, “Neuromorphic Data Converters using Memristors”, MemoCIS, Dubrovnik, Croatia, March 2018.
  5. L. Danial, N. Wainstein, and S. Kvatinsky, ”Analog Mixed-Signal Circuit Design with Memristors”, IEEE International Symposium on Circuits and Systems (ISCAS), June 2018.
  6. L. Danial, and S. Kvatinsky, “Neuromorphic Data Converters using Memristors”, International Conference on Memristive Materials, Devices & Systems (MEMRISYS), July 2019.
  7. L. Danial, Y. Roizin, and S. Kvatinsky, “Neuromorphic Data Converters using Floating-Gate Memristive Devices”, a Nature Conference on Neuromorphic Computing, Beijning, China, October 2019 (won the best poster paper award).
  8. L. Danial, and S. Kvatinsky, “Bridging the gap between nano-scale analogue memory devices: memristor and floating-gate transistor for neuromorphic computing“, Behind the Paper in Nature Research Community of Device & Materials Engineering , December 2019.
  9. L. Danial, and S. Kvatinsky, “Conversion-in-Memory Using Memristive Neural Networks”,  Workshop on Computing In-Memory: from Devices to Applications (CIM) at Design, Automation and Test in Europe (DATE), March 2020.

 

List of Patents:

  1. L. Danial and S. Kvatinsky, “Analog to Digital Converter Using Memeristors in a Neural Network”, US patent application no. 62/585,578.
  2. L. Danial and S. Kvatinsky, “Reconfigurable DAC Implemented by Memristor Based Neural Network”, US patent application no. 62/530,920.
  3. R. Daniel, and L. Danial, “DNA-Based Neural Network,” US patent application no. 62/525, 242.
  4. L. Danial and S. Kvatinsky, “Delta-sigma Neurons for Training Memristive Synapses”, US patent application no. 62/774, 993.
  5. L. Danial, and S. Kvatinsky, “A Pipelined Memristive Neural Network Analog-to-Digital Converter”, US patent application no. 62/945,293.