Results 131 to 140 of about 31,264 (300)

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

Roadmap on Neuromorphic Photonics

CoRR
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in the field. It emphasizes the critical role of cross-disciplinary collaboration in this rapidly evolving field.
Brunner, Daniel, Shastri, Bhavin J., Qadasi, Mohammed A. Al, Ballani, H., Barbay, Sylvain, Biasi, Stefano, Bienstman, Peter, Bilodeau, Simon, Bogaerts, Wim, Böhm, Fabian, Brennan, G., Buckley, Sonia, Cai, Xinlun, Strinati, Marcello Calvanese, Canakci, B., Charbonnier, Benoit, Chemnitz, Mario, Chen, Yitong, Cheung, Stanley, Chiles, Jeff, Choi, Suyeon, Christodoulides, Demetrios N., Chrostowski, Lukas, Chu, J., Clegg, J. H., Cletheroe, D., Conti, Claudio, Dai, Qionghai, Di Lauro, Luigi, Diamantopoulos, Nikolaos Panteleimon, Dinc, Niyazi Ulas, Ewaniuk, Jacob, Fan, Shanhui, Fang, Lu, Franchi, Riccardo, Freire, Pedro, Gentilini, Silvia, Gigan, Sylvain, Giorgi, Gian Luca, Gkantsidis, C., Gladrow, J., Goi, Elena, Goldmann, M., Grabulosa, A., Gu, Min, Guo, Xianxin, Hejda, Matěj, Horst, F., Hsieh, Jih Liang, Hu, Jianqi, Hu, Juejun, Huang, Chaoran, Hurtado, Antonio, Jaurigue, Lina, Kalinin, K. P., Kopae, Morteza Kamalian, Kelly, D. J., Khajavikhan, Mercedeh, Kremer, H., Laydevant, Jeremie, Lederman, Joshua C., Lee, Jongheon, Lenstra, Daan, Li, Gordon H. Y., Li, Mo, Li, Yuhang, Lin, Xing, Lin, Zhongjin, Lis, Mieszko, Lüdge, Kathy, Lugnan, Alessio, Lupo, Alessandro, Lvovsky, A. I., Manuylovich, Egor, Marandi, Alireza, Marchesin, Federico, Massar, Serge, McCaughan, Adam N., McMahon, Peter L., Pegios, Miltiadis Moralis, Morandotti, Roberto, Moser, Christophe, Moss, David J., Mukherjee, Avilash, Nikdast, Mahdi, Offrein, B. J., Oguz, Ilker, Oripov, Bakhrom, O'Shea, G., Ozcan, Aydogan, Parmigiani, F., Pasricha, Sudeep, Pavanello, Fabio, Pavesi, Lorenzo, Peserico, Nicola, Pickup, L., Pierangeli, Davide, Pleros, Nikos, Porte, Xavier, Primavera, Bryce A., Prucnal, Paul, Psaltis, Demetri, Puts, Lukas, Qiao, Fei, Rahmani, B., Raineri, Fabrice, Ocampo, Carlos A. Ríos, Robertson, Joshua, Romeira, Bruno, Carmes, Charles Roques, Rotenberg, Nir, Rowstron, A., Schoenhardt, Steffen, Schwartz, Russell L . T., Shainline, Jeffrey M., Shekhar, Sudip, Skalli, Anas, Sohoni, Mandar M., Sorger, Volker J., Soriano, Miguel C., Spall, James, Stabile, Ripalta, Stiller, Birgit, Sunada, Satoshi, Tefas, Anastasios, Tossoun, Bassem, Tsakyridis, Apostolos, Turitsyn, Sergei K., Van der Sande, Guy, Van Vaerenbergh, Thomas, Veraldi, Daniele, Verschaffelt, Guy, Vlieg, E. A., Wang, Hao, Wang, Tianyu, Wetzstein, Gordon, Wright, Logan G., Wu, Changming, Wu, Chu, Wu, Jiamin, Xia, Fei, Xu, Xingyuan, Yang, Hangbo, Yao, Weiming, Yildirim, Mustafa, Yoo, S. J. Ben, Youngblood, Nathan, Zambrini, Roberta, Zhang, Haiou, Zhang, Weipeng   +149 more
openaire   +4 more sources

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Photonic-Enabled Energy-Efficient Transparent Neuromorphic Computing Devices: A Review. [PDF]

Adv Sci (Weinh)
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Ghosh S, Lee KB, Lee J, Cho S, Patel M, Li H, Wen Y, Zhou Y, Kim J.   +8 more
europepmc   +2 more sources

Neuromorphic Control of a Pendulum

IEEE Control Systems Letters
We illustrate the potential of neuromorphic control on the simple mechanical model of a pendulum, with both event-based actuation and sensing. The controller and the pendulum are regarded as event-based systems that occasionally interact to coordinate their respective rhythms. Control occurs through a proper timing of the interacting events.
Raphael Schmetterling, Fulvio Forni, Alessio Franci, Rodolphe Sepulchre   +3 more
openaire   +4 more sources

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA

IEEE Access
This paper presents an efficient hardware implementation of the recently proposed Optimised Deep Event-driven Spiking Neural Network Architecture (ODESA).
Ali Mehrabi, Yeshwanth Bethi, Andre van Schaik, Andrew Wabnitz, Saeed Afshar   +4 more
doaj   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media. [PDF]

Adv Sci (Weinh)
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Zhang N, Nurmikko A.
europepmc   +2 more sources