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Engineering and Technology

D-Index
41
Citations
8619
World Ranking
6851
National Ranking
1866

Overview

Alexander N. Tait is affiliated with Princeton University in the United States. Their research spans multiple disciplines, including engineering, materials science, and computer science, with a significant focus on electrical and electronic engineering, materials chemistry, and artificial intelligence.

Their scholarly work has been published extensively in several venues. Frequent publication venues include The Cambridge Structural Database, arXiv (Cornell University), IEEE Journal of Selected Topics in Quantum Electronics, Nanophotonics, and Nature Communications.

Alexander N. Tait's main research topics encompass neural networks and reservoir computing, photonic and optical devices, optical network technologies, crystallization and solubility studies, X-ray diffraction in crystallography, advanced memory and neural computing, and advanced photonic communication systems.

Among the recent papers authored or coauthored by Alexander N. Tait are:

  • Silicon photonic-electronic neural network for fibre nonlinearity compensation, 2021, arXiv (Cornell University)
  • Roadmap on emerging hardware and technology for machine learning, 2020, Nanotechnology
  • Demonstration of scalable microring weight bank control for large-scale photonic integrated circuits, 2020, APL Photonics
  • Gene editing and elimination of latent herpes simplex virus in vivo, 2020, Nature Communications
  • Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation, 2023, Nature Communications

Frequent coauthors collaborating with Alexander N. Tait include Bhavin J. Shastri, Paul R. Prucnal, Thomas Ferreira de Lima, S. A. Cotton, and Andrew W.G. Platt. These partnerships indicate collaboration across multiple research areas related to photonics, neural computing, and electronic engineering.

Best Publications

  • Photonics for artificial intelligence and neuromorphic computing

    Bhavin J. Shastri;Alexander N. Tait;Thomas Ferreira de Lima;Wolfram H. P. Pernice

  • Photonics for artificial intelligence and neuromorphic computing

    Bhavin J. Shastri;Bhavin J. Shastri;Alexander N. Tait;Alexander N. Tait;T. Ferreira de Lima;Wolfram H. P. Pernice

  • Neuromorphic photonic networks using silicon photonic weight banks.

    Alexander N. Tait;Thomas Ferreira de Lima;Ellen Zhou;Allie X. Wu

  • Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing

    Alexander N. Tait;Mitchell A. Nahmias;Bhavin J. Shastri;Paul Richard Prucnal

  • A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing

    M. A. Nahmias;B. J. Shastri;A. N. Tait;P. R. Prucnal

  • A silicon photonic modulator neuron

    Alexander N. Tait;Thomas Ferreira de Lima;Mitchell A. Nahmias;Heidi B. Miller

  • Photonic Multiply-Accumulate Operations for Neural Networks

    Mitchell A. Nahmias;Thomas Ferreira de Lima;Alexander N. Tait;Hsuan-Tung Peng

  • A silicon photonic–electronic neural network for fibre nonlinearity compensation

    Chaoran Huang;Chaoran Huang;Shinsuke Fujisawa;Shinsuke Fujisawa;Thomas Ferreira de Lima;Alexander N. Tait

  • Recent progress in semiconductor excitable lasers for photonic spike processing

    Paul Richard Prucnal;Bhavin J. Shastri;Thomas Ferreira de Lima;Mitchell A. Nahmias

  • Neuromorphic Photonic Integrated Circuits

    Hsuan-Tung Peng;Mitchell A. Nahmias;Thomas Ferreira de Lima;Alexander N. Tait

  • Microring Weight Banks

    Alexander N. Tait;Allie X. Wu;Thomas Ferreira de Lima;Ellen Zhou

  • Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)

    Viraj Bangari;Bicky A. Marquez;Heidi Miller;Alexander N. Tait

  • Neuromorphic Silicon Photonic Networks

    Alexander N. Tait;Thomas Ferreira de Lima;Ellen Zhou;Allie X. Wu

  • Progress in neuromorphic photonics

    Thomas Ferreira De Lima;Bhavin J. Shastri;Alexander N. Tait;Mitchell A. Nahmias

  • Machine Learning With Neuromorphic Photonics

    Thomas Ferreira de Lima;Hsuan-Tung Peng;Alexander N. Tait;Mitchell A. Nahmias

  • Spike processing with a graphene excitable laser.

    Bhavin J. Shastri;Mitchell A. Nahmias;Alexander N. Tait;Alejandro W. Rodriguez

  • Roadmap on emerging hardware and technology for machine learning.

    Karl Berggren;Qiangfei Xia;Konstantin K. Likharev;Dmitri B. Strukov

  • Feedback control for microring weight banks

    Alexander N. Tait;Hasitha Jayatilleka;Thomas Ferreira De Lima;Philip Y. Ma

  • ITO-based Electro-absorption Modulator for Photonic Neural Activation Function

    R. Amin;J. K. George;S. Sun;T. Ferreira de Lima

  • Prospects and applications of photonic neural networks

    Chaoran Huang;Chaoran Huang;Volker J. Sorger;Mario Miscuglio;Mohammed Al-Qadasi

  • Demonstration of WDM weighted addition for principal component analysis

    Alexander N. Tait;John Chang;Bhavin J. Shastri;Mitchell A. Nahmias

  • Demonstration of scalable microring weight bank control for large-scale photonic integrated circuits

    Chaoran Huang;Simon Bilodeau;Thomas Ferreira De Lima;Alexander N. Tait

  • Silicon Photonic Modulator Neuron

    Alexander N. Tait;Thomas Ferreira De Lima;Mitchell A. Nahmias;Heidi B. Miller

  • A superconducting thermal switch with ultrahigh impedance for interfacing superconductors to semiconductors.

    Adam McCaughan;V. B. Verma;S. M. Buckley;J. P. Allmaras

  • Neuromorphic photonics with electro-absorption modulators

    Jonathan George;Armin Mehrabian;Rubab Amin;Jiawei Meng

  • ITO-based Electro-absorption Modulator for Photonic Neural Activation Function

    Rubab Amin;Jonathan George;Shuai Sun;Thomas Ferreira de Lima

Frequent Co-Authors

Bhavin J. Shastri
Bhavin J. Shastri Queen's University
Paul R. Prucnal
Paul R. Prucnal Princeton University
Thomas Ferreira de Lima
Thomas Ferreira de Lima Princeton University
Sae Woo Nam
Sae Woo Nam National Institute of Standards and Technology
Richard P. Mirin
Richard P. Mirin National Institute of Standards and Technology
Mable P. Fok
Mable P. Fok University of Georgia
Volker J. Sorger
Volker J. Sorger George Washington University
Sudip Shekhar
Sudip Shekhar University of British Columbia
Lukas Chrostowski
Lukas Chrostowski University of British Columbia
Tarek El-Ghazawi
Tarek El-Ghazawi George Washington University

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