Results 151 to 160 of about 6,478,030 (244)

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

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

Soft and Transient Bioelectronics Enabled by Polymer‐Free Ti3C2Tx MXene Hydrogels

Advanced Materials, EarlyView.
We present Ti3C2Tx MXene hydrogel (MXgel) bioelectronics, a soft, flexible, and fully transient platform for high‐fidelity neural recording and stimulation. MXgel bioelectronics exhibit exceptional electrical conductivities, low electrochemical impedances, and high charge injection capacities.
Raghav Garg, Franco A. Laimo, Stefano Ippolito, Prastuti Upadhyay, Spencer R. Averbeck, Dimitris Boufidis, Charles‐Antoine Assenmacher, Dayo O. Adewole, Sai Panigrahy, Bita Soltan Mohammadlou, Lucy Plant, Yuan Zhang, Andrew G. Richardson, Yury Gogotsi, D. Kacy Cullen, Flavia Vitale   +15 more
wiley   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

Biomass DNA: An Emerging Building Block for Advanced Materials

Advanced Materials, EarlyView.
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley   +1 more source

Neural Network Models for Inflation Forecasting: An Appraisal [PDF]

We assess the power of artificial neural network models as forecasting tools for monthly inflation rates for 28 OECD countries. For short out-of-sample forecasting horizons, we find that, on average, for 45% of the countries the ANN models were a ...
Adnan Haider, Ali Choudhary
core  

Blending With Insulating Polymers Enables Stable Anti‐Ambipolar Characteristics in n‐Type Organic Mixed‐Conductors for Heterogeneous Spiking Neurons

Advanced Materials, EarlyView.
A polymer blend of n‐type OMIEC P(gNDI‐gT2) with insulating PMMA yields mechanically stabilized, anti‐ambipolar organic electrochemical transistors (OECTs) with tunable ionic‐electronic transport. This blending allows low‐power, fast‐spiking heterogeneous Hodgkin–Huxley neurons, enabling biomimetic frequency deconvolution and reservoir computing, which
Zachary Laswick, Ariel Lifer, Catherine Beaumont, Liad Hayoun, Priscila Cavassin, Zeinab Hamid, Dilara Meli, William Dupont, Lincoln J. Lauhon, Iain McCulloch, Gitti L. Frey, Giovanni Maria Matrone, Jonathan Rivnay   +12 more
wiley   +1 more source

Boosting Estimation of RBF Neural Networks for Dependent Data [PDF]

This paper develops theoretical results for the estimation of radial basis function neural network specifications, for dependent data, that do not require iterative estimation techniques.
George Kapetanios, Andrew P. Blake
core  

Ferroionic‐Assisted, Charge‐Driven Polymorphic Phase Engineering for Multilevel Memristive Devices

Advanced Materials, EarlyView.
A CuInP2S6/Mo0.92W0.08Te2 heterostructure enables a gradual semiconductor‐to‐semimetal phase transition through Cu+ ion migration and charge accumulation. The spatially engineered 2H/1T′ mixed phases produce continuously tunable conductance states in a two‐terminal geometry, while suppressing depolarizing fields and stabilizing the metastable 1T′ phase.
Nayeon Kim, Chengqi Wei, Eunji Hwang, Woohyun Cho, Heemyoung Hong, Yongjoon Lee, Daeho Noh, Min Seok Jang, Zhongrui Wang, Heejun Yang   +9 more
wiley   +1 more source

Energetic Variational Neural Network Discretizations of Gradient Flows [PDF]

We present a structure-preserving Eulerian algorithm for solving $L^2$-gradient flows and a structure-preserving Lagrangian algorithm for solving generalized diffusions. Both algorithms employ neural networks as tools for spatial discretization.
Wang, Yiwei, Xu, Zhiliang, Liu, Chun, Hu, Ziqing   +3 more
core   +1 more source