2024年目前为止最幸福的一天活了二十多年第一次体会到长得高有多爽!!!
这次金道英mcd预录一共抽了260个粉丝,是全站坑,结果我170➕厚底洞洞鞋,还被挤到了最中间,我感觉我眼前只有金道英啊啊啊啊啊,一抬头就是金道英都不用垫脚,前面一点遮挡都没有,太近了啊啊啊啊啊!!!当时我满脑子:“这是梦吗啊啊啊啊啊”!!!!!
一共录了三遍,第三遍的时候道英直接跨过舞台来和粉丝说话,直线距离不超过5m这世上怎么有长这么帅的人啊
最后一段bridge道英喊“西珍妮”,我们喊“kim doyoung”的时候我已经掉小珍珠了,太感动了唯一的遗憾可能就是电视台预录不给拍照~大家请期待今天下午的mcd播出!!
我想永远活在今天[苦涩] https://t.cn/8kizdKM
这次金道英mcd预录一共抽了260个粉丝,是全站坑,结果我170➕厚底洞洞鞋,还被挤到了最中间,我感觉我眼前只有金道英啊啊啊啊啊,一抬头就是金道英都不用垫脚,前面一点遮挡都没有,太近了啊啊啊啊啊!!!当时我满脑子:“这是梦吗啊啊啊啊啊”!!!!!
一共录了三遍,第三遍的时候道英直接跨过舞台来和粉丝说话,直线距离不超过5m这世上怎么有长这么帅的人啊
最后一段bridge道英喊“西珍妮”,我们喊“kim doyoung”的时候我已经掉小珍珠了,太感动了唯一的遗憾可能就是电视台预录不给拍照~大家请期待今天下午的mcd播出!!
我想永远活在今天[苦涩] https://t.cn/8kizdKM
张极,你知道吗?在中国以外的其他国家,也有很多爱你的人
感谢越南极丝的支持是你们让我感受到原来爱真的可以克服远距离!
谢谢负责人@Minsu_ya 谢谢你主动来询问我能不能也来参加,谢谢你帮忙筹集并且克服困难成功打入这次battle!
也感谢除名单外不愿意透露姓名的越南极丝,希望有一天能和你们每一个人在线下演唱会见面
Cảm ơn các bạn Kim Quất Việt Nam trong danh sách nhiều nha!
♡♡-love wins all -
#张极 绝对实力c位出道#
#张极[超话]#
感谢越南极丝的支持是你们让我感受到原来爱真的可以克服远距离!
谢谢负责人@Minsu_ya 谢谢你主动来询问我能不能也来参加,谢谢你帮忙筹集并且克服困难成功打入这次battle!
也感谢除名单外不愿意透露姓名的越南极丝,希望有一天能和你们每一个人在线下演唱会见面
Cảm ơn các bạn Kim Quất Việt Nam trong danh sách nhiều nha!
♡♡-love wins all -
#张极 绝对实力c位出道#
#张极[超话]#
Brain-inspired computing with fluidic iontronic nanochannels. [good]
(Article from The SAO/NASA Astrophysics Data System (ADS), By Kamsma, T. M. ; Kim, J. ; Kim, K. ; Boon, W. Q. ; Spitoni, C. ; Park, J. ; van Roij, R.)
Abstract:
The brain's remarkable and efficient information processing capability is driving research into brain-inspired (neuromorphic) computing paradigms. Artificial aqueous ion channels are emerging as an exciting platform for neuromorphic computing, representing a departure from conventional solid-state devices by directly mimicking the brain's fluidic ion transport. Supported by a quantitative theoretical model, we present easy to fabricate tapered microchannels that embed a conducting network of fluidic nanochannels between a colloidal structure. Due to transient salt concentration polarisation our devices are volatile memristors (memory resistors) that are remarkably stable. The voltage-driven net salt flux and accumulation, that underpin the concentration polarisation, surprisingly combine into a diffusionlike quadratic dependence of the memory retention time on the channel length, allowing channel design for a specific timescale. We implement our device as a synaptic element for neuromorphic reservoir computing. Individual channels distinguish various time series, that together represent (handwritten) numbers, for subsequent in-silico classification with a simple readout function. Our results represent a significant step towards realising the promise of fluidic ion channels as a platform to emulate the rich aqueous dynamics of the brain.
Publication: eprint arXiv: 2309.11438
Pub Date: September 2023
DOI: 10.48550/arXiv.2309.11438
arXiv: arXiv:2309.11438
Bibcode: 2023arXiv230911438K
Keywords: Condensed Matter - Soft
Condensed Matter;
Quantitative Biology - Neurons and Cognition
E-Print: Proceedings of the National
Comments: Academy of Sciences (2024), Vol 121, Issue 18;
doi:10.1073/pnas.2320242121
(Article from The SAO/NASA Astrophysics Data System (ADS), By Kamsma, T. M. ; Kim, J. ; Kim, K. ; Boon, W. Q. ; Spitoni, C. ; Park, J. ; van Roij, R.)
Abstract:
The brain's remarkable and efficient information processing capability is driving research into brain-inspired (neuromorphic) computing paradigms. Artificial aqueous ion channels are emerging as an exciting platform for neuromorphic computing, representing a departure from conventional solid-state devices by directly mimicking the brain's fluidic ion transport. Supported by a quantitative theoretical model, we present easy to fabricate tapered microchannels that embed a conducting network of fluidic nanochannels between a colloidal structure. Due to transient salt concentration polarisation our devices are volatile memristors (memory resistors) that are remarkably stable. The voltage-driven net salt flux and accumulation, that underpin the concentration polarisation, surprisingly combine into a diffusionlike quadratic dependence of the memory retention time on the channel length, allowing channel design for a specific timescale. We implement our device as a synaptic element for neuromorphic reservoir computing. Individual channels distinguish various time series, that together represent (handwritten) numbers, for subsequent in-silico classification with a simple readout function. Our results represent a significant step towards realising the promise of fluidic ion channels as a platform to emulate the rich aqueous dynamics of the brain.
Publication: eprint arXiv: 2309.11438
Pub Date: September 2023
DOI: 10.48550/arXiv.2309.11438
arXiv: arXiv:2309.11438
Bibcode: 2023arXiv230911438K
Keywords: Condensed Matter - Soft
Condensed Matter;
Quantitative Biology - Neurons and Cognition
E-Print: Proceedings of the National
Comments: Academy of Sciences (2024), Vol 121, Issue 18;
doi:10.1073/pnas.2320242121
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