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NTC TC19 -Virtual Workshop on Chiplets

Wednesday, March 19th, 2025

Virtual Workshop on “Next Generation Computing in the Era of Chiplets”

 

Date: April 2, 2025

Start Time: 9:30am (CDT)

Timezone – Central

Length/ Duration: 90 minutes

Kick Off – Moitreyee Mukherjee-Roy (IBM) TC19 Chair

 

Speaker 1 – Joshua Rubin (IBM)

Title – Memory challenges and solutions for chiplets

ABSTRACT – The AI hardware industry landscape is full of diverse approaches to hardware design, ranging from large SoCs to chipletized systems based on both 3D and 2.xD packaging.  Even within the chipletized systems the chiplet architecture can vary greatly. Most current solutions are based on silicon designed by a single hardware vendor. In this workshop we will review the AI hardware industry landscape and compare the various approaches. Furthermore, we will explore a vision for disaggregation of IBM’s recently announced Spyre accelerator SoC, designed by IBM Research. We will look at how an AI chiplet in combination with other chiplets in an open chiplet ecosystem would enable creation of performant chiplet architectures for domain-specific applications.

Short BIO :

Joshua Rubin is a Senior Engineer at IBM, where he has been technical lead on projects dealing with wafer scale 3D integration, system performance analysis for novel technical elements, heterogeneous integration, and AI hardware design. An IBM Master Inventor, he holds over 90 patents in transistor design and integration, power distribution, 3D integration, packaging, and memory devices. He earned a PhD in electrical engineering at Cornell University. He has also published several technical articles and presented at several conferences including the Electronic Components and Technology Conference (ECTC), IEEE Journal of Solid-State Circuits (ISSCC), IEEE Electron Device Letters (EDL), and IEEE International Conference on MEMS. Most recently he was a technical lead for the packaging and card design of IBM’s latest Artificial Intelligence Unit (AIU) product.

Speaker 2 – Srikanth Rangarajan

Title: Advanced Thermal Management of Next-Generation of High-Performance Computing

Abstract: As high-performance computing (HPC) systems continue to evolve, the challenge of managing heat generated by increasingly powerful and compact electronic components has become paramount. This talk explores cutting-edge thermal management solutions that are paving the way for the next generation of HPC systems. We will discuss innovative approaches such as single- and two-phase liquid cooling. The presentation will also cover advancements in phase change materials for managing transient heat loads.  Additionally, the talk will examine the integration of artificial intelligence and machine learning into thermal management systems, enabling real-time temperature monitoring and predictive analysis for optimal cooling strategies. The talk will highlight how these technologies are not only addressing current thermal challenges but also enabling the development of more powerful, efficient, and reliable HPC systems for the future.

Short BIO:

Srikanth Rangarajan currently works as an Assistant Professor in the School of System Science and Industrial Engineering at Binghamton University. He received his M.S & Ph.D. in Mechanical Engineering from the Indian Institute of Technology Madras 2017. His research interests include Energy Storage management systems, electronic packaging, Digital twinning for electronics and batteries, Thermal energy storage, Thermal Management of electronics, and Data center cooling. Srikanth has published 35 international journal articles so far. Srikanth is also the author of the book “Phase Change Material Heat Sinks: A multi-objective Perspective.”

Prior to joining the School of System Science and Industrial Engineering, Srikanth worked as an Associate Research Professor in the Department of Mechanical Engineering at SUNY Binghamton

Research Interests

  • Thermal management, optimization, Digital Twinning and sustainability of electronic systems
  • Advanced packaging and heterogeneous integration of electronic systems
  • Data Center cooling
  • Digital twinning and optimization of battery systems
  • Thermal Energy Storage: Design and optimization

Speaker 3 – Si-Ping Gao:

Title – Power Delivery of Heterogeneous Integration: Challenges and Opportunities

As semiconductor design continues to evolve, chiplet technology has emerged as a promising solution to the limitations of traditional monolithic integrated circuits [1]. The shift towards chiplet-based heterogeneous integration (HI) offers flexibility, scalability, and improved manufacturing yields. However, this new approach presents significant challenges in power delivery. Efficient power delivery in HI systems is crucial to maintaining performance and reliability across multiple, independently manufactured and assembled die [2]. In this paper, we explore the key issues surrounding power delivery in HI architectures, including power integrity, voltage regulation, interconnect design, and thermal management [3]. We also propose innovative power delivery network (PDN) strategies tailored to the specific needs of chiplet designs. Our findings demonstrate how advanced PDN designs can mitigate power-related issues while supporting the energy efficiency, performance, and scalability demands of future semiconductor systems. This talk provides valuable insights for industry professionals and academics aiming to address the power delivery challenges inherent in the next generation of chiplet-based HI technologies.

References

[1]        K. Radhakrishnan, M. Swaminathan, and B. K. Bhattacharyya, “Power Delivery for High-Performance Microprocessors – Challenges, Solutions, and Future Trends,” IEEE Trans. Compon. Packag. Manuf. Technol, vol. 11, no. 4, pp. 655–671, Apr. 2021.

[2]        J. Kim et al., “Architecture, Chip, and Package Codesign Flow for Interposer-Based 2.5-D Chiplet Integration Enabling Heterogeneous IP Reuse,” IEEE Trans. Very Large Scale Integr. Syst., vol. 28, no. 11, pp. 2424–2437, Nov. 2020.

[3]        J. Kim et al., “Chiplet/Interposer Co-Design for Power Delivery Network Optimization in Heterogeneous 2.5-D ICs,” IEEE Trans. Compon. Packag. Manuf. Technol, vol. 11, no. 12, pp. 2148–2157, Dec. 2021.

Short Bio:

Si-Ping Gao (Senior Member, IEEE) received the B.Eng., M.Eng. and D.Eng. degrees in electronic engineering from the Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China, in 2007, 2009, and 2013, respectively.

From 2013 to 2017, he was a Scientist with the Department of Electronics and Photonics, Institute of High Performance Computing (IHPC), A*STAR, Singapore. From 2017 to 2022, he was a Research Fellow in the Department of Electrical and Computer Engineering, National University of Singapore (NUS). From 2022 to 2024, he was a Senior Engineer of AMD. He is currently a Full Professor of NUAA. He has authored more than 100 refereed papers and one book chapter. He holds several patents. His research interests include EMC/EMI, signal and power integrity for 2.5D/3D ICs, and RFICs.

Dr. Gao received the Young Professional Award from the IEEE EMC Society in 2021 and many other technical awards including the APEMC 2016 Best Symposium Paper Award, the SPI 2017 Young Investigator Training Program Award, the URSI GASS 2017 Young Scientist Award, the Outstanding Young Scientist Award at the 2018 Joint IEEE EMC & APEMC Symposium, and the IEEE MTT-S IMWS-AMP 2020 Best Paper Award. He served as the TPC Chair and Co-chair of IEEE MTT-S IMWS-AMP 2025 and 2021, respectively, the Technical Paper Chair of APEMC 2022. He was a Distinguished Reviewer of IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY in 2023. He has been serving the IEEE EMC Singapore Chapter since 2016.

 

    2025 IEEE NTC TC 19- Heterogenous Integration and Chiplets Webinar Series

    Webinar April 2nd Registration (free)

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    2025 IEEE NTC TC10 Modeling and Simulation May Webinar

    Wednesday, March 5th, 2025

    Date: May 20th, 2025

    Time: 11:00AM Eastern Daylight Time (Montreal)

    Title: Technology Computer-Aided Design and Ab Initio Simulations of Quantum-Technology Hardware

    Speaker: Félix Beaudoin, Ph.D. Director of Quantum Technology, Nanoacademic Technologies Inc.

    Organizer: TC10 mentee member Luiz Felipe Aguinsky

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    Abstract:

    Quantum technologies are poised to revolutionize sensing, cryptography, and computing by leveraging the deepest quantum-mechanical effects such as quantum superposition and entanglement. However, quantum advantage relies upon quantum hardware such as superconducting qubits or spin qubits in semiconductors, which suffers from several defects and imperfections that may lead to decoherence. In addition, quantum-hardware design, prototyping, and characterization workflows that do not leverage mature and predictive technology computer-aided design (TCAD) simulation software often rely on excessive trial and error with real-world devices. This approach incurs high manufacturing and personnel cost and may even result in quantum devices that fail to
    meet performance requirements. In this webinar, we describe how Nanoacademic Technologies’ ab initio (RESCU, NanoDCAL) and quantum TCAD (QTCAD®) software can be used for atomistic and TCAD modeling of quantum
    devices, akin to simulation and design workflows employed for standard semiconductor devices and materials. We will show how recent functional and performance advances in the QTCAD® software led to the demonstration
    of quantitatively predictive simulations of spin qubits in semiconductor gated quantum dots. In addition, we will describe how combining QTCAD® features with the large-scale density functional theory (DFT) software
    RESCU enabled calculating the addition energy of a single-phosphorus-donor spin qubit in silicon completely from first
    principles for a system containing more than 10,000 atoms. Finally, future applications of QTCAD®, RESCU, and NanoDCAL for superconducting-qubit device and materials modeling will be explored.

    Bio:

    Félix Beaudoin is the Director of Quantum Technology and a Research Scientist at Nanoacademic Technologies Inc., a scientific software company based in Montréal, Québec, Canada. He first obtained an M. Sc. in theoretical physics from Université de Sherbrooke in 2011 under the supervision of Prof. Alexandre Blais, followed by a Ph.D. in theoretical
    physics from McGill University in 2016 with Prof. William A. Coish. In 2017-2018, Félix Beaudoin worked as a postdoctoral associate and university lecturer at Dartmouth College in the research group of Prof.
    Lorenza Viola, in close collaboration with the Quantum Information and Integrated Nanosystems Group led by Prof. William D. Oliver (Massachusetts Institute of Technology). Félix Beaudoin’s research interests are focused on quantum-technology topics such as quantum noise, quantum control, quantum computing, quantum metrology, and modeling of spin qubits and superconducting qubits alike.

    Félix Beaudoin joined Nanoacademic in 2019 as a Research Scientist and became the company’s Director of Quantum Technology in 2021. With a team of experts, he manages the development of Nanoacademic’s newest quantum modeling tool: QTCAD®.

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      2025 IEEE NTC Modeling and Simulation Webinar Series

      Webinar May 20th Registration (free)

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      2025 IEEE NTC TC10 Modeling and Simulation March Webinar

      Monday, January 20th, 2025

      Date: Thursday, March 6, 2025

      Time: 17:00 Central European Time

      Speaker: Dr. Nicolas Onofrio, Software for Chemistry and Materials (SCM)

      Organizer: TC10 mentee member,  Luiz Felipe Aguinsky

      Title: Exploring Advanced Materials Modeling with the Amsterdam Modeling Suite

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      Abstract:

      In this talk Dr. Nicolas Onofrio will present the Amsterdam Modeling Suite (AMS), a powerful software package for atomistic simulations across diverse levels of theory. AMS offers seamless integration with computational engines such as Density Functional Theory, Tight Binding, and Force Fields, making it an invaluable platform for exploring potential energy surfaces (PES) in molecules and periodic systems. Its innovative features include ParAMS, a module to tune atomistic model parameters as well as an active learning workflow for efficient PES exploration. These capabilities enable rapid predictions of material properties and reaction mechanisms, driving advancements in batteries, semiconductors, polymers, and OLEDs. With an intuitive Python interface, AMS empowers researchers to automate workflows, screen materials, and optimize critical properties, providing a comprehensive toolkit for accelerating innovation in chemistry and materials science.

      Bio:

      Dr. Nicolas Onofrio is a Technical Sales Representative at Software for Chemistry & Materials (SCM), where he leverages his expertise in computational materials science, theoretical chemistry, and machine learning to support researchers and industries in utilizing the Amsterdam Modeling Suite (AMS). Dr. Onofrio earned his PhD from Grenoble Alpes University in 2011 followed by a postdoctoral stay at Purdue University, where he also served as a Visiting Assistant Professor from 2012 to 2016. From 2016, Dr. Onofrio was an Assistant Professor at the Hong Kong Polytechnic University, where his research spanned atomistic simulations, material property optimization, and innovative computational techniques.

       

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        2025 IEEE NTC Modeling and Simulation Webinar Series

        Webinar March 6th Registration (free)

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        2024 IEEE NTC TC10 Modeling and Simulation December Webinar

        Thursday, October 17th, 2024

        Date: Wednesday, December 4, 2024

        Time: 08:00 AM Pacific time

        Speaker: Kevin Roche, Research Engineer & Quantum Ambassador, IBM Research Almaden

        Organizer: TC 10 Co-Chair, Josef Weinbub

        Title: A Practical Introduction to Quantum Computing

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        Abstract:

        Quantum Computing is a developing technology that promises the exciting possibility of solving computational challenges not accessible with classical processors. It can also be the subject of a great deal of hype and exaggerated claims. This webinar will offer a practical view of the technology, beginning with a brief, accessible, introduction to the unusual physics harnessed by quantum processors, followed by a summary of the actual, practical technology currently available to the public and others, focusing on IBM Quantum’s offerings, then a short live demonstration (connectivity permitting) of interacting with the systems both via the web and Qiskit software libraries.

        Bio:

        Kevin Roche is a research engineer at IBM Research Almaden, specializing in materials for magnetoelectronics, spintronics, and other related fields. He is an expert in ultra-high-vacuum systems and thin-film deposition, data acquisition and laboratory automation. A native of the San Francisco Bay Area, Kevin earned his Bachelor’s degree in Physics at the University of California, Berkeley in 1983. He first joined IBM Research in 1982 as an American Physical Society intern; after completing his degree, he returned to IBM Research.

        Since 2002, Kevin has been introducing and explicating his work in physics and materials science publicly, making it accessible to audiences with a wide range of technical education; he was a featured expert on magnetic levitation for Episode 4 of Science and Star Wars. In 2017 he added quantum computing concepts to that role and is now both an official IBM Quantum Ambassador and a Qiskit Advocate. Kevin has been a dedicated science fiction fan since he learned to read, and his hobbies include building bartending robots, designing and making costumes, and running science fiction conventions; he was Chair of the 76th World Science Fiction Convention in August 2018.

         

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          2024 IEEE NTC Modeling and Simulation Webinar Series

          Webinar December 4th Registration (free)

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          2024 IEEE NTC TC10 Modeling and Simulation November Webinar

          Thursday, October 17th, 2024

          Date: Wednesday, November 13

          Time: 17:00 CET (UTC+1) Vienna (Austria) time (8AM PT/11AM ET)

          Speaker: Dr. Zlatan Stanojevic, CTO, Global TCAD Solutions

          Organizer: TC 10 Co-Chair, Josef Weinbub

          Title: Advanced Nanoscale MOSFET Simulation with the Subband Boltzmann Transport Equation

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          Abstract:

          Join us for an in-depth exploration of Nanoscale MOSFET Simulation using the Subband Boltzmann Transport Equation (SBTE), powered by the advanced GTS Nano Device Simulator (NDS). This webinar will guide you through the fundamentals of simulating MOSFETs at the nanoscale, focusing on device performance and transport phenomena. We will demonstrate live simulations and cover not only traditional silicon-based MOSFETs but also cutting-edge 1D and 2D materials like transition metal dichalcogenides (TMDs), graphene, and carbon nanotubes. Attendees will gain hands-on insights into modeling these materials and learn how to leverage the SBTE for advanced device design.

           

          Bio:

          Zlatan Stanojević holds MSc and PhD degrees in Microelectronics from the Vienna University of Technology, completed in 2009 and 2016, respectively. An expert in TCAD and advanced device simulation, he co-developed the Subband Boltzmann Transport Equation (SBTE) simulation method. As the Chief Technology Officer at Global TCAD Solutions, he oversees the company’s R&D efforts. A Senior IEEE member, he is actively engaged in the electron devices and nanotechnology communities, contributing to major journals and conferences such as IEDM, ESSDERC, SISPAD, or NMDC, on some of which he has also served as reviewer and technical committee member.

           

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            2024 IEEE NTC Modeling and Simulation Webinar Series

            Webinar November 13th Registration (free)

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            TC 16: Update on Upcoming and Past Activities

            Saturday, April 20th, 2024

            Update on Upcoming and Past Activities

            1. Ising Machine Workshop (IISM) 2024
              The International Workshop on Ising Machines (IISM) 2024 took place in Messina, Italy from April 16 to 18, 2024. You can explore the comprehensive coverage of topics discussed, including theoretical insights into Ising machines, digital applications, simulations of innovative computing paradigms, and advancements in analog and hybrid Ising machines here.
            2. Virtual Workshop on “Next Generation Computing in the Era of Chiplets”
              On February 29, 2024, a virtual workshop was held focusing on the paradigm-shifting concept of Chiplets and their integration potential with semiconductor and emerging technologies. Discover more about this workshop here.
            3. Roadmap for Emerging Technologies-based Unconventional Computing
              Delve into a perspective paper on the utilization of emerging technologies like photonics, superconducting materials, and spintronics for unconventional computing paradigms such as neuromorphic and quantum computing. Read the publication here.
            4. Special Issue on “Neuromorphic Computing”
              We initiated a special issue on “Neuromorphic Computing” in the IEEE Transactions on Nanotechnology. For more information, visit here. The submission deadline was September 30, 2021.
            5. Second Meeting of TC-16 on Quantum, Neuromorphic, and Unconventional Computing
              The virtual workshop on unconventional computing with emerging technologies was held on May 13, 2022. Explore the workshop’s schedule, recording, and talks here. Additionally, you can access the talks on YouTube here.
            6. Kickoff Meeting of TC-16 on Quantum, Neuromorphic, and Unconventional Computing
              The inaugural meeting was held on June 11th, 2021. Access the meeting’s schedule, recording, and talks here. Talks are also available on YouTube here.

            IEEE NTC Volunteer Summer Internship Program

            Saturday, December 9th, 2023

            The IEEE Nanotechnology Council (NTC) is committed to offering opportunities for motivated high school students in the U.S. to engage in immersive and comprehensive learning experiences. Through their Volunteer Summer Internship Program, the NTC connects students with technology professionals from various organizations, fostering education and innovation.

            Mission: The mission of the IEEE NTC Volunteer Summer Internship Program is to provide high school students in the U.S. with opportunities in modeling and simulation, literature review and technical writing. This is achieved by connecting them with industry experts, educators, and mentors, preparing them intellectually and emotionally for their future endeavors.

            Vision: The vision of the program is to bring appropriate opportunities to interested high school students. These opportunities allow students to interact with experts in industry and academia.  The program aims to provide students with valuable experiences related to nanotechnology. .

            Summer Internship Program

            As part of its commitment to fostering education and innovation, IEEE NTC offers a Summer Internship program in collaboration with Eastern Washington University (EWU) and the University of Washington (UW). This program provides high school students with the opportunity to engage in hands-on research in various areas, including 2D Materials, Neuromorphic Computing, and Technical Writing.

            The program  allows mentors to work directly with highly dedicated students who demonstrate a strong understanding of the concepts. Under the guidance of mentors from academia and industry, students explore the applications and science behind nanomaterials, quantum dots, and neural networks. 

            Arpan De shares his experience as a mentor, highlighting the benefits of learning topics at a grassroots level and developing time management skills. The program also allows mentors to work with highly dedicated students who demonstrate a strong understanding of the concepts. The remote internship lasts for six or more weeks between June and August, providing aspiring young scientists with a valuable learning experience. 

            Get Involved

            If you are interested in mentoring students in the Summer Internship program or require further information, please reach out to M. P. Anantram at anantmp@uw.edu or Arindam Kumar Das at arindam@uw.edu. High school students can apply for the Summer Internship program in late February 2024 at the SPARK SIP website.

            Alternative Careers for Nanotechnology Researchers

            Saturday, December 9th, 2023

            Recent PhD graduates in the field of nanotechnology have a wide range of career options to consider. This article will explore some of the exciting career paths available in this field, other than conventional roles of postdoctoral fellow in academia or research scientist in industry.

            Representative Image by Eddie Mar Delos Angeles from Pixabay

            1. Product Development Engineer

            In this role, you will apply your expertise in nanotechnology to develop innovative products and materials. You will work closely with design and manufacturing teams to optimize product performance and functionality. Your simulations will guide the development process, ensuring that the final product meets desired specifications. Additionally, you will stay updated with the latest advancements in nanoscale modeling to continually improve product designs.

            2. Computational Scientist

            As a computational scientist specializing in nanotechnology modeling and simulation, you will develop and optimize simulation algorithms and techniques. Your expertise will enable you to tackle complex problems in nanoscience and nanotechnology, advancing our understanding of nanoscale phenomena. You may collaborate with other researchers and industry professionals to solve real-world challenges and drive technological innovations.

            3. Entrepreneur

            With a strong background in nanotechnology, you have the potential to start your own venture in this field. You can explore opportunities to develop simulation software, build a semiconductor foundry, provide consulting services, or create innovative solutions for specific industries. As an entrepreneur, you will have the freedom to pursue your own ideas and make a significant impact in the nanotechnology sector.

            4. Patent Attorney

            As a patent attorney specializing in nanotechnology, you can help protect intellectual property and navigate the legal aspects of inventions and innovations in this field. Your expertise in nanotechnology will be valuable in understanding the technical aspects of patents and providing guidance to inventors and companies seeking patent protection.

            5. Technology Transfer Officer

            In this role, you will bridge the gap between academia and industry by facilitating the transfer of nanotechnology research and technology to commercial applications. You will work with researchers, industry partners, and legal professionals to identify market opportunities, negotiate licensing agreements, and support the commercialization of nanotechnology innovations.

            6. Policy Advisor

            As a policy advisor in the field of nanotechnology, you will have the opportunity to influence and shape regulations and policies related to nanoscale technologies. Your expertise in nanotechnology will provide valuable insights into the potential risks and benefits of these technologies. You will work with government agencies, industry stakeholders, and scientific communities to develop policies that promote responsible and sustainable development of nanotechnology.

            The field of nanotechnology offers a wide range of exciting career options for recent PhD graduates in nanoscale modeling and device development. With your contributions, you can advance scientific knowledge, drive technological innovations, and shape the future of nanotechnology. The possibilities are endless in this rapidly evolving field.

            By embracing collaboration, we can push the boundaries of scientific understanding and continuously explore the endless possibilities that nanotechnology has to offer.

            Best of luck in your career in nanotechnology!

            NTC Forum on Nanomechanics and Machine Learning

            Thursday, December 7th, 2023

             

            Before the IEEE NMDC 2023 Conference (23-25 Oct. 2023), the NTC focus forum on Artificial Intelligence (AI) and Nanotechnology was held in Mercurio Hall in Ariston Hotel, Paestum, on 21-22 Oct. 2023. The forum is proposed and Chaired by Prof. Dr. Xiaoying Zhuang from Leibniz University Hannover, Germany, with Prof. Xiaoning Jiang from NC State representing NTC as the VP TA. Dr. Teresa Cheng from Leibniz University Hannover and Dr. Quanzhou Yao from South China University of Science and Technology helped with the organization. There were totally 12 participants coming from Australia, Belgium, China, Germany, Norway, Switzerland and the US including Mr. Tylor Jaynes from the NTC Standards Committee who participated as an additional observer. The forum invited experts with various background including AI algorithm, metamaterials, nanomechanics experiments, nano tribology, nanomaterials design, nanomaterials manufacturing, packaging, nano energy harvesters, photodetectors, 2D materials etc in order to bring chemistry of new ideas and explore new ideas of AI in nanotechnology. Enhancing our interactive session, one of our attendees contributed to the discussions via an online connection. A series of twelve insightful presentations showcased groundbreaking developments in AI as applied to the field of nanotechnology. Highlights of the talks included:

            • AI enhanced energy harvester design and applications;
            • AI assisted experiment on mechanical characterization, such as piezoelectric thin film and high entropy alloys;
            • AI assisted inverse design of metamaterials
            • AI assisted 2D materials characterization;
            • AI assisted experimental results, such as piezoresponse force microscopy (PFM) for accelerated potential valley of stick-slip behaviour in tribology, and for high quality PFM images;
            • AI based nano materials design and exploration;

            The forum also discussed the issues regarding the AI applications in nanotechnology, including the demand of a large number of data and the physics issues that gives “sense” to the results or output from AI. Research related to “AI and Nanotechnology” showed interesting potential and a pre-forum study made by Prof. Zhuang showed that AI is among the most active and rising directions in nano materials and nano technology around the world where many interesting examples have revealed the perspectives. Dr. Jakob Schwiedrzik from EMPA at Switzerland presented extreme naonmechanics testing with self-developed instruments at EMPA of extremely high strain rate testing as well as cryogenic and high temperature. He also showed AI based data analysis of large datasets generated by high throughput multimodal materials characterization for various applications. Prof. Jim Morris from Portland State University gave an overview talk of NTC history and future perspective and afterwards he presented issues and uncertainties in electric conduction of discontinuous metal nanoparticle in thin film. Prof. Jianying He presented additively manufactured high entropy alloys where AI can be used to accelerate and optimize the manufacturing parameters for high strength alloy. Prof. Yabin Jin from Tongji University showed the AI enhanced inverse design of metamaterials and topological insulating structures where AI can accelerate novel functions and features. Prof. Timon Rabczuk from Bauhaus University Weimar presented AI mathematical model, theory and algorithms for scientific computing and materials design. He also showed the insight of Dr. Binh Huy Nguyen from Interuniversity Microelectronics Centre (imec), Belgium presented AI assisted MEMS design and characterization. Prof. Di Bartolomeo presented interesting findings of photoconductivity, negative photoconductivity and pressure hysteresis of several 2D materials including MoS2 and ReS2 etc. Prof. Xiaoying Zhuang presented the AI based 2D materials exploration and multiscale materials characterization and homogenization using deep learning. Dr. Quanzhou Yao from South China University of Science and Technology presented AI enhanced solution of for the statistical study of stick-slip events in nano triboelectricity. Dr. Qiong Liu demonstrated recent results on PFM and Ramen spectrum characterization of flexoelectricity of 2D materials. Dr. Teresa Cheng summarize the state of the art of nano energy harvesters and future perspective about how to use AI to develop more efficient energy harvester.

            During the forum, several discussion sessions were carried out and it was agreed that it is important to disseminate and demonstrate successful showcases to NTC and IEEE community where AI can be used to enhance current research methods. It was proposed that it is necessary to organize and provide training courses or lectures that can deliver basic mathematical models and knowledge of using AI. Issues of data generation raised a lot of discussions and questions regarding the quality and quantitates of the data. A key step is of course to see the problem for each researcher that can be improved or solved by AI. Future plans under consideration are the foundation of new technical committee within NTC in the area of “AI and Nanotechnology”, special sessions in IEEE Nano 2024 in Spain and the further communications with other IEEE societies such as Computer Science. A special issue of NTC journals or the magazine is under discussion and envisioned to be organized.

             

            Call for Young Professionals to Join IEEE Nanotechnology Council Technical Committees

            Saturday, December 2nd, 2023

            Third Call for Young Professionals to Join IEEE Nanotechnology Council Technical Committees

            Are you interested in the field of Nanotechnology and in expanding your professional horizons? Consider joining one of the IEEE Nanotechnology Council Technical Committees. Our mentoring program (MENED) is designed for young professionals interested in gaining new skills and experiences, participating in professional activities, and further development of their professional network.

            The major strength of IEEE Nanotechnology Council (NTC) resides in its large number of members and volunteers, and the unlimited spectrum of nanotechnology applications. Currently, the IEEE NTC activities (technical, educational, conferences, publications, standing committees, etc.) and initiatives are extremely rich and rise the IEEE NTC to the level of a well-recognized world leader in the field of nanotechnology. To guarantee sustainability of NTC activities and to enable successful succession planning in the NTC’s leadership, an initiative was launched at the beginning of 2022, namely the IEEE NTC Mentoring program: from Effectiveness to Durability, or the so-called NTC MENED program. The NTC MENED program aims to enable the NTC volunteers to grow indispensable skills to carry out the NTC activities and to gradually integrate a larger number of well-trained NTC volunteers into the different initiatives. The objectives of NTC MENED program are as follows: 1) To reach a high level of success in the NTC activities; 2) To maximize the chance of new volunteers to reach their goals; and 3) To establish a mentoring culture that concerns the durability of NTC MENED program. Through the NTC MENED program, the final goal of NTC is to connect people and create teams in which everyone brings ideas, trust and rapport.

            Find your chosen technical committee and fill out our short application form so we can get to know you better. Deadline is JANUARY 15, 2024.