Results 221 to 230 of about 1,125,542 (261)

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

Advanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang, Nellie Laleni, Sina Ranjbar, Andreas Tsiougkos, Nandakishor Yadav, Vasilis Pavlidis, Thomas Kämpfe   +6 more
wiley   +1 more source

Agentic Finance: An Adaptive Inference Framework for Bounded-Rational Investing Agents. [PDF]

Entropy (Basel)
Montañez Jacquez S, Clippinger JH, Moroney M.   +2 more
europepmc   +1 more source

Environmental Effects on RRAM Cells Based on 2D Halide Perovskite Materials

Advanced Electronic Materials, EarlyView.
RRAM offers high speed, scalability, and low power, positioning it as a next‐generation non‐volatile memory. Two‐dimensional halide perovskites show promise due to tunable optoelectronic properties and flexible processing but suffer from environmental sensitivity. This review examines degradation from humidity, temperature, light, and strain, discusses
Mojtaba Joodaki, Babitha Arun, Hartmut Hillmer, Chih‐Chieh Hsu   +3 more
wiley   +1 more source

Transfer Entropy Causal Networks for Interconnectedness Analysis of Global Banking and Green Markets: A CEEMDAN-SE-KM Approach. [PDF]

Entropy (Basel)
Xue Q, Jin X, Yu J, Liu Y.
europepmc   +1 more source

Harnessing the VO2 Phase Transition for Automatic Gain Control in Transimpedance Amplifiers

Advanced Electronic Materials, EarlyView.
A nanoscale VO2‐based volatile switch integrated into a transimpedance‐amplifier feedback loop dynamically lowers gain when input current rises, preventing saturation and extending dynamic range. Rapid self‐recovery restores high sensitivity without external reset circuitry.
Amir Gildor, Sariel Hodisan, Shahar Kvatinsky, Yoav Kalcheim   +3 more
wiley   +1 more source

An advanced wide-and-deep learning framework for soybean price forecasting using market, weather, trade, and supply data. [PDF]

MethodsX
Ghonge VD, Kulkarni Y.
europepmc   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

How do price spillovers between natural gas and copper-aluminum markets differ in international vs. Chinese contexts? [PDF]

PLoS One
Wang L, Lu Q, Chen T, Xiao B.
europepmc   +1 more source

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang, Luca Weckelmann, Baolin Wu, Chih‐Long Tsai, Luc Raijmakers, Rüdiger‐A. Eichel, Anna Windmüller   +6 more
wiley   +1 more source

Interpretable ESG-sentiment hybrid deep learning for asset return forecasting with quantified interactions and latency-aware deployment. [PDF]

Sci Rep
Mishra S, Mayaluri ZL, Liew CY, Sahoo PK, Samantaray AK.   +4 more
europepmc   +1 more source