Results 181 to 190 of about 2,094,383 (285)

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Toward High-Resolution Polymeric Neural Interfaces: A Practical Guide for Electron Beam Lithography. [PDF]

Adv Sci (Weinh)
Karlsson-Fernberg H, Asplund M.
europepmc   +1 more source

Balancing Hydrophobicity and Hydrophilicity: Dual Filler‐Engineered Proton Exchange Membranes for Durable, High‐Power Fuel Cells

Advanced Functional Materials, EarlyView.
Polarity‐matched Zr–MOFs program Nafion's nanoscale morphology during solution casting. Hydrophilic UiO‐66 preserves hydrated pathways, while hydrophobic UiO‐67 increases the proton hopping sites by densifying ionic clusters. Combining both fillers yields a membrane that delivers 176 mS cm−1 conductivity, reaches 1.46 W cm−2 under 200 kPa, and triples ...
Yonghwi Cho, Yunseong Ji, Minkyu Choi, Junsu Kim, Yejin Kim, Su Jeong Lee, Wooyoung Choi, Choong Hoo Lee, Ju Yeon Kim, Ohchan Kwon, Hanim Kim, Du Yeol Ryu, Ki Chul Kim, Dae Woo Kim   +13 more
wiley   +1 more source

Transition Radiation Field Enhanced Laser Proton Acceleration Employing Near-Critical-Density Foam. [PDF]

Nat Commun
Qin CY, Geng XS, Zhang H, Yu LH, Zhang LG, Dai YZ, Wang J, Zhang BW, Guo XJ, Xu DR, Xu S, Ding CL, Xu Y, Liu YQ, Wang C, Shi BN, Zhang ZX, Liu XY, Leng YX, Liang XY, Shen BF, Ji LL, Li RX.   +22 more
europepmc   +1 more source

Chitin‐Derived Carbon‐Metal Functional Materials

Advanced Functional Materials, EarlyView.
Functional carbon materials are synthesized from combination of biopolymer (chitin) and iron precursors. The resultant material exhibits superior surface area and adsorptive properties compared to carbon materials synthesized directly from pure chitin.
Herry Fang, Chao Hsuan (Joseph) Sung, Haitao Yu, Ezra Sarmiento, Katarina Kotanchek, Ryan Christopher Lee, Michelle Chan, David Kisailus   +7 more
wiley   +1 more source

All-optical accelerometer enabled by metasurface. [PDF]

Sci Adv
Zang H, Wang Y, Zhang T, Lu Y, Wang P.
europepmc   +1 more source

Electron acceleration in an electron-beam-plasma

Electron acceleration in an electron-beam-plasma
Narrow spreads have been observed next to electron holes in a strong electron-beam. There is the relationship between the position and the velocity on the spread tips, which indicates that the electron acceleration (or strong heating) occurs.
openaire   +1 more source

Mechanical Programming of PEGDA‐β‐CD Polyrotaxane‐Based Hydrogels via Host–Guest Molecular Recognition

Advanced Functional Materials, EarlyView.
A mechanically programmable hydrogel for tissue engineering is developed by modulating the molecular threading density of poly(ethylene glycol) diacrylate‐β‐cyclodextrin (PEGDA‐β‐CD) polyrotaxane and combining it with β‐CD‐modified gelatin. The polyrotaxane‐guided transition from disordered pores to laminar microstructures enables precise tuning ...
Shiyi Chen, Xudan Xing, Haopu Su, Dominik Voll, Xiaohe Xu, Jiafeng Wan, Tongtong Cui, Christian W. Schmitt, Stefan Bräse, Peng Li, Patrick Théato   +10 more
wiley   +1 more source

Transversely pumped laser driven particle accelerator. [PDF]

Nat Commun
Nutting T, Ernst N, Thomas AGR, Krushelnick K.   +3 more
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source