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Suggested Citation:"Appendix C: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
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C

Registered Workshop Participants

Iwnetim Abate, Stanford University

Gina Adam, George Washington University

Coline Adda, University of California, San Diego

Mario Ancona, Naval Research Laboratory

Takashi Ando, IBM

David Anspach

Raymundo Arroyave, Texas A&M University

Veronica Augustyn, North Carolina State University

Soumen Kumar Bag, Indian Institute of Science

Frank Barrows, Argonne National Laboratory

Mitra Basu, National Science Foundation

Sankart Basu, National Science Foundation

Sage Bauers, National Renewable Energy Laboratory

Daniel Bedau, WDC

Mikhail Belogolovskii, National Academy of Sciences of Ukraine

Gennadi Bersuker, The Aerospace Corporation

Allan Bracker, Naval Research Laboratory

Timothy Brown, Texas A&M University

William Carter, Defense Advanced Research Projects Agency

Abhijit Chandra, Iowa State University

Yao-Feng Chang, Intel

Brian Chen, Case Western Reserve University

Si Chen, University of Colorado, Boulder

Suggested Citation:"Appendix C: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
×

Shaobo Cheng, Brookhaven National Laboratory

David Cheng, Massachusetts Institute of Technology

Hung-Ta Chien, Texas A&M University

Matthew Chin, Army Research Laboratory

Hans Cho, Naval Research Laboratory

Enrique Cobas, Naval Research Laboratory

Michael Coyle, Army Research Office

Cory Cress, U.S. Naval Research Laboratory

Karin Dahmen, University of Illinois, Urbana Champaign

Tanya Das, U.S. House Science, Space, and Technology Committee

Virginia DeGiorgi, Naval Research Laboratory

Sijia Dong, Argonne National Laboratory

Selma Duhovic, Kebotix

Stephen Elbert, Pacific Northwest National Laboratory

Claudio Flores Martinez, Kybernesia

Martin Frank, IBM

Lorenzo Fratino, Laboratoire de Physique des Solides

Nikolay Frick, North Carolina State University

Michael Fundator, Rutgers University

Samiran Ganguly, University of Virginia

Ming Gao, NCSU

Bonnie Gersten, U.S. Department of Energy BES

Avik Ghosh, University of Virginia

Elizabeth Gilmour, Naval Research Laboratory

Jonathan Goodwill, National Institute of Standards and Technology

Marco Govoni, Argonne National Laboratory

Olivia Graeve, University of California, San Diego

Roman Grzonka, QinetiQ

Damien Guilbaud. North Carolina State University

Hooman Hamidi

James Harris, AquaSolo, Inc.

Brian Heligman, University of Texas

Maura Herrera, University of Texas, San Antonio

Robert Herzog, CVK

Daryl Hess, National Science Foundation

Kunlun Hong, CNMS

James Horwitz, U.S. Department of Energy

Brian Hoskins, National Institute of Standards and Technology

Mahshid Hosseini, North Carolina State University

Helen Jackson, DTRA

Jag Kasichainula, North Carolina State University

Suggested Citation:"Appendix C: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
×

Sobia Ali Khan, Chungbuk National University

Fatemeh Kiani, University of Massachusetts, Amherst

Adam Knapp, Naval Research Laboratory

Manoj Kolel-Veetil, Naval Research Laboratory

Paul Lane, National Science Foundation

B.L. (Les) Lee, Air Force Office of Scientific Research

Elizabeth Lee, University of Chicago

John Lesko, Virginia Tech University

Jack Li, CNRS

Xing Li, Zhengzhou University

Xinjun Liu, Tianjin University, China

Jordi Antoja Lleonart, Rijksuniversiteit Groningen

Robert MacCurdy, University of Colorado, Boulder

Shawn Mack, Naval Research Laboratory

George Maracas, U.S. Department of Energy

James Masi, University of Southern Maine

Jabez McClelland, National Institute of Standards and Technology

Geoff McKnight, HRL Laboratories

Bogdan Mihaila, National Science Foundation

Darren Mollot, U.S. Department of Energy

Sandip Mondal, Purdue University

Joseph Najem, Pennsylvania State University

Sina Najmaei, U.S. Army Laboratory

Giridhar Nandipati, Pacific Northwest National Laboratory

Henry Navarro, University of California, San Diego

Christopher J. Neill, LookingGlass Ventures

Beatriz Noheda, University of Groningen

Stephen Nonnenmann, University of Massachusetts, Amherst

Pavan Nukala, University of Groningen

Michael Taejoon Park, Purdue University

Alice Parker, University of Southern California

Justin Pearson, University of Maryland

Michael Pechan, U.S. Department of Energy

Philip Pincus, University of California, Santa Barbara

Robinson Pino, U.S. Department of Energy

Victor Pugliano, U.S. Department of Defense

Joe Qiu, Army Research Office

Ann Racuya-Robbins, World Knowledge Bank

Daniel Radack, IDA

Mehr Khalid Rahmani, Chungbuk National University

Theo Rasing, Radboud Universiteit Nijmegen

Suggested Citation:"Appendix C: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
×

Alice Ren, Rice University

Yaoyu Ren, University of Maryland

Steven Robey, National Institute of Standards and Technology

Rodolfo Rocco, Laboratoire de Physique des Solides Orsay

Jan Rogers, NASA

Marcelo Rozenberg, CNRS

Ji-Ho Ryu, ChungBuk National University

Hojeong Ryu

Pavel Salev, University of California, San Diego

Mart Salverda, University of Groningen

Nancy Sandler, Ohio University

Jon Schuller, University of California, Santa Barbara

Andrew Schwartz, U.S. Department of Energy

Sanjaya Senadheera, Texas Tech University

David Shahan, HRL Laboratories

Grigoris Skalkogiannis

Eric Snow, Naval Research Laboratory

Michael Sosnowski, Dell

Sabina Spiga, CNR

Derek Stewart, Western Digital

Jonathan Sun, IBM Research

Ceren Susut, U.S. Department of Energy/Advanced Scientific Computing Research

Paul Syers, Allegheny Science & Technology

Jennifer Taggart, The Aerospace Corporation

Yayoi Takamura, University of California, Davis

Sandra Lindo-Talin, State of California

Felipe Torres, Universidad de Chile

Anh Tran, Sandia National Laboratories

Richard Tran, University of California, San Diego

Charles Tu, University of California, San Diego

Enis Tuncer, Texas Instruments

Gozde Tutuncuoglu, Georgia Institute of Technology

Bonifacio Vega, IMDEA Nanociencia

Dmitry Veksler, The Aerospace Corporation

Thirumalai Venkatesan, NUS

Hien Vo, University of Chicago

Yan Wang, Georgia Institute of Technology

Albert Wang, National Science Foundation

Qi Wang, Purdue University

Wennie Wang, University of Chicago

Suggested Citation:"Appendix C: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
×

Linbing Wang, Virginia Tech

Yingfen Wei, University of Groningen

Dana Wheeler, HRL Laboratories

Qiangfei Xia, University of Massachusetts, Amherst

Feng Yan, University of Alabama

Bo Yeheng, Tianjin University

Wei Yi, HRL Laboratories, LLC

Haoming Yu, Purdue University

Heshan Yu, University of Maryland

Andriy Zakutayev, National Renewable Energy Laboratory

Anatoliy Zavdoveev, PEWI

Hai-Tian Zhang, Purdue University

Zhen Zhang, Purdue University

Peng Zhang, Tian Jin University

Shenli Zhang, University of Chicago

Jinling Zhou, University of Maryland

Jane Zhu, U.S. Department of Energy

Tim Zimmerlin

Suggested Citation:"Appendix C: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
×
Page 78
Suggested Citation:"Appendix C: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
×
Page 79
Suggested Citation:"Appendix C: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
×
Page 80
Suggested Citation:"Appendix C: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
×
Page 81
Suggested Citation:"Appendix C: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
×
Page 82
Next: Appendix D: Speaker and Planning Committee Biographical Information »
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Current von Neumann style computing is energy inefficient and bandwidth limited as information is physically shuttled via electrons between processor, short term non-volatile memory, and long-term storage. Biologically inspired neuromorphic computing, with its inherent autonomous learning capabilities and much lower power requirements based on analog processing, is seen as an avenue for overcoming these limitations. The development of nanoelectronic "memory resistors", or memristors, is essential to neuromorphic architectures as they allow logic-based elements for information processing to be combined directly with nonvolatile memory for efficient emulation of neurons and synapses found in the brain. Memristors are typically composed of a switchable material with nonlinear hysteretic behavior sandwiched between two conducting encoding elements. The design, dynamic control, scaling and fundamental understanding of these materials is essential for establishing memristive devices.

To explore the state-of-the-art in the materials fundamentally underlying memristor technologies: their science, their mechanisms and their functional imperatives to realize neuromorphic computing machines, the National Academies of Sciences, Engineering, and Medicine's Board on Physics and Astronomy convened a workshop on February 28, 2020. This publication summarizes the presentation and discussion of the workshop.

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