Modeling biochemical reactions and gene networks with memristors. - Hanna Abo Hanna; Loai Danial; Shahar Kvatinsky; Ramez Daniel (BioCAS, 2017)

Design principles of data converters for building large-scale gene networks in living cells. - Ramez Daniel; Luna Rizik; Loai Danial (NANOCOM, 2017)

Real-Time Trainable Data Converters for General Purpose Applications. - Loai Danial; Shahar Kvatinsky (NANOARCH, 2018)

DIDACTIC: A Data-Intelligent Digital-to-Analog Converter with a Trainable Integrated Circuit using Memristors. - Loai Danial; Nicolás Wainstein; Shraga Kraus; Shahar Kvatinsky (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

Breaking Through the Speed-Power-Accuracy Tradeoff in ADCs Using a Memristive Neuromorphic Architecture. - Loai Danial; Nicolás Wainstein; Shraga Kraus; Shahar Kvatinsky (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Logarithmic Neural Network Data Converters using Memristors for Biomedical Applications. - Loai Danial; Kanishka Sharma; Shivansh Dwivedi; Shahar Kvatinsky (BioCAS, 2019)

Delta-Sigma Modulation Neurons for High-Precision Training of Memristive Synapses in Deep Neural Networks. - Loai Danial; Sidharth Thomas; Shahar Kvatinsky (ISCAS, 2019)

Modeling a Floating-Gate Memristive Device for Computer Aided Design of Neuromorphic Computing. - Loai Danial; Vasu Gupta; Evgeny Pikhay; Yakov Roizin; Shahar Kvatinsky (DATE, 2020)

Breaking the Conversion Wall in Mixed-Signal Systems Using Neuromorphic Data Converters. - Loai Danial; Shahar Kvatinsky (ECCTD, 2020)

A Pipelined Memristive Neural Network Analog-to-Digital Converter. - Loai Danial; Kanishka Sharma; Shahar Kvatinsky (ISCAS, 2020)

Cytomorphic Electronics With Memristors for Modeling Fundamental Genetic Circuits. - Hanna Abo Hanna; Loai Danial; Shahar Kvatinsky; Ramez Daniel (IEEE Trans. Biomed. Circuits Syst., 2020)

Physical based compact model of Y-Flash memristor for neuromorphic computation. - Wei Wang 209; Loai Danial; Eric Herbelin; Barak Hoffer; Batel Oved; Tzofnat Greenberg-Toledo; Evgeny Pikhay; Yakov Roizin; Shahar Kvatinsky (CoRR, 2022)

Memristive deep belief neural network by silicon synapses. - Wei Wang 209; Loai Danial; Yang Li 203; Eric Herbelin; Evgeny Pikhay; Yakov Roizin; Barak Hoffer; Zhongrui Wang; Shahar Kvatinsky (CoRR, 2022)

Power-Aware Task-Based Learning of Neuromorphic ADCs. - Tal Vol; Loai Danial; Nir Shlezinger (ICASSP, 2024)

Learning Task-Based Trainable Neuromorphic ADCs via Power-Aware Distillation. - Tal Vol; Loai Danial; Nir Shlezinger (IEEE Trans. Signal Process., 2025)