https://www.chanyeolchoi.net/home daily 1.0 2023-07-08 https://www.chanyeolchoi.net/contact daily 0.75 2020-09-06 https://www.chanyeolchoi.net/services-1 daily 0.75 2023-07-08 https://images.squarespace-cdn.com/content/v1/5f3ca9eb26da2e54db838d9e/1597991584638-U93I8U8D802LPEJ05SSX/MIT-NeuromorphicAlloys-01_v2.jpg Research Neuromorphic Computer Nature Electronics, Published online (2022) | Featured as cover article Nature Nanotechnology 15, 574-579 (2020) Nature Materials 17 (4), 335 (2018) Artificial intelligence (AI) can exceed the capabilities of humans in certain classes of problems including image, speech recognition, and gaming. However, the practical applications of AI, which require the processing of tremendous amounts of data and thus cause significant demands on computing speed and power efficiency, are limited by current computing hardware. I developed alloyed metal-based artificial synapses, which substantially reduced the non-uniformity and improved analog switching behaviors. The core operation of deep neural networks has been demonstrated reliably and effectively on large-scale artificial synapses crossbars. The chip with tens of thousands of artificial synaptic devices will be a foundational work for future analog AI hardware that can replace the current graphic processing unit (GPU) led by Nvidia. Furthermore, I am extending the functionality of neuromorphic computing by emulating the structure and working principles of the biological neurons in the human brain. This offers a promising approach to the development of more energy-efficient and highly-parallel AI hardware. https://images.squarespace-cdn.com/content/v1/5f3ca9eb26da2e54db838d9e/1597991786671-WF8T2SHO1O6QTN1XDQAQ/KakaoTalk_20200820_014203513_v3.jpg Research Heterogeneous Systems Science 377 (6608), 859-864, (2022) Science Advances Vol. 7, Issue 27 (2021) Nature 578 (7793), 75-81 (2020) Nature Nanotechnology 15 (4), 272-276 (2020) Nature Materials 18 (6), 550 (2019) ACS Sensors 5, 6, 1582-1588 (2020) Heterogeneous electronic and optoelectronic systems have been desirable to establish a versatile platform for sensing and processing signals. However, the stiffness of thick-materials and lack of understanding of material science hinder the development of heterogeneously integrated systems. By introducing a novel material growth technique as known as ‘remote epitaxy’ and a unique layer transfer technique (2DLT), I opened a myriad of possibilities for multifunctional electronic systems. In addition, new coupling phenomena and physics were observed between 3D bulk materials and 2D atomic layers. In combination with large-scale artificial synaptic devices and quantum nano-devices, my heterogeneous system will become a core to connect human and computer at neuronal interfaces and support human activities as form of medical devices such as artificial eyes and prosthetic skin. https://images.squarespace-cdn.com/content/v1/5f3ca9eb26da2e54db838d9e/1597991598656-Y1EKLFH3BA6TMPIS6BZ4/mnet_197097_materials__peng_lin_v2.png Research Quantum Nano-Devices Nature Nanotechnology 18 (5), 464-470 (2023) Nature Nanotechnology 17 (10), 1054-1059 (2022) Nature 544 (7650), 340-343 (2017) Science 362 (6415), 665-670 (2018) Nature 558 (7710), 410-414 (2018) Nature Photonics 12 (1), 22-28 (2018) Nature 2D Materials and Applications 2 (1), 30 (2018) The transformation of digital computers from bulky machines to portable systems has been enabled by advanced processing technologies. However, as this conventional scaling pathway has approached atomic-scale dimensions, the conventional transistor technology is limited by quantum physics. Nano-thick two-dimensional (2D) layered materials have emerged as an alternative to conventional technology, promising new paradigms in computation, communication and sensing. The convergence between quantum materials properties and prototype quantum devices is especially apparent in the field of 2D materials. My findings include light-matter interactions at 0.3 nanometer thick 2D materials (graphene) and interlayer carrier recombination within 1 nanometer thick 2D materials (transition metal dichalcogenide), which can be used for a ultra-high-precision optical clock and optical devices. These various 2D materials offer a broad range of materials properties, high flexibility in fabrication pathways, and the ability to form multi-functioning nano-device systems. https://www.chanyeolchoi.net/about-1 daily 0.75 2022-08-10 https://images.squarespace-cdn.com/content/v1/5f3ca9eb26da2e54db838d9e/1600659377628-NZVOQ7GP6W6PNSJT7HDH/Finalselfie.jpg About Me - Chanyeol Choi Google Scholar CV download MIT, Electrical Engineering and Computer Science, PhD, 2021 MIT, Electrical Engineering and Computer Science, MS, 2019 Yonsei University, Electrical and Electronic Engineering, BS, 2018 UCLA, Electrical Engineering, Study Abroad Program, 2015-2016 At MIT, I developed an artificial synapse made out of alloyed metals that enhance analog synaptic behaviors. This is part of an effort to develop the next generation of neuromorphic hardware that mimics the human brain and could achieve highly energy-efficient computing. My goal is to facilitate brain-computer interaction at neuronal interfaces by building a low-cost and nano-scale integrated neuromorphic system that enables low-power and highly-parallel computing. https://www.chanyeolchoi.net/reviews-3 daily 0.75 2022-08-10 https://images.squarespace-cdn.com/content/v1/5f3ca9eb26da2e54db838d9e/ce7b20f1-74b2-4040-8d96-540f4a2db4d6/KakaoTalk_20220616_201356983.jpg News - “Engineers build LEGO-like artificial intelligence chip.” Nature Electronics 5, 386-393 (2022) — MIT News etc. (2022) Image credit: Chanyeol Choi, MIT https://images.squarespace-cdn.com/content/v1/5f3ca9eb26da2e54db838d9e/1597994714628-JAAFCTHTIRQQHVG2SNT1/MIT-NeuromorphicAlloys-01.jpg News - “ Engineers put tens of thousands of artificial brain synapses on a single chip .” Nature Nanotechnology 15, 574-579 (2020) — Technology Networks, Science Daily, MIT News, Nature Nano, SciTechDaily, eeNews Europe, Singularity Hub, Harvard SITN etc. (2020) Photo credit: Peng Lin, MIT https://images.squarespace-cdn.com/content/v1/5f3ca9eb26da2e54db838d9e/1597994898238-ZE3FWFFD33B3E29VZ00H/KakaoTalk_20200820_014203513.jpg News - “New ‘Peel and Stack’ process enables next-generation devices and stretchy electronics.” Nature 578 (7793), 75-81 (2020) — SciTechDaily, MIT News, Science Daily, eeNews Europe etc. (2020) Image credit: Felice Frankel, MIT https://images.squarespace-cdn.com/content/v1/5f3ca9eb26da2e54db838d9e/1597995230138-3ZQ0HOD5PWX52S06U977/mnet_197097_materials__peng_lin_.png News - “ Researchers quickly harvest 2D materials, bringing them closer to commercialization .” Science 362 (6415), 665-670 (2018) — Science Magazine, MIT news, Nanowerk, IEEE spectrum etc. (2018) Photo credit: Peng Lin, MIT https://images.squarespace-cdn.com/content/v1/5f3ca9eb26da2e54db838d9e/1597996088017-YTP35BX0MTZKHPDM95NR/neuromorphic.JPG News - “ MIT researchers develop new chip design to take us closer to computers that work like human brains .” Nature Materials 17 (4), 335 (2018) — Verge, MIT news, CNBC, eeNews, ScienceDaily etc. (2018) Photo credit: Foxonn https://images.squarespace-cdn.com/content/v1/5f3ca9eb26da2e54db838d9e/1597996458682-U9RR64ROBOPSJOZP5OVG/Mjg5MTMzOQ.jpeg News - “ MIT graphene layer allows re-use of expensive wafers .” Nature 544 (7650), 340-343 (2017) — Electronics Weekly, MIT news, IEEE spectrum, mybroadband etc. (2017) Photo credit: Jose-Luis Olivares, MIT