Results 251 to 260 of about 115,523 (316)

Reversible and Controllable Transition Between Filamentary and Interfacial Resistive Switching in HfO2‐Based Memristors

open access: yesAdvanced Electronic Materials, EarlyView.
5 nm HfO2 memristors exhibit a fully reversible, voltage‐controlled transition between filamentary and interfacial switching within the same device. At high voltages, a filament forms and dominates the conduction, whereas at lower voltages the device reversibly returns to interfacial mode without defect accumulation, implying a new reversible ...
Cuo Wu   +8 more
wiley   +1 more source

Ion Charge Compensation upon Electrochemical Doping of Redox Polymer Films with Tunable Crosslinking Density

open access: yesAdvanced Electronic Materials, EarlyView.
The electrochemical doping of redox homo‐ and copolymers containing triphenylamine (TPA) as redox‐active units is reported. Electrochemical crosslinking leads to films with tetraphenylbenzidine (TPB) crosslinking units. Advanced electrogravimetric tools are applied to get insights into their mixed ionic‐electronic conducting characteristics: anion ...
Claudia Malacrida   +5 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Asymmetric limits on timely interventions from noisy epidemic data. [PDF]

open access: yesCommun Phys
Parag KV   +3 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

Data-driven identification of biological systems using multi-scale analysis. [PDF]

open access: yesPLoS Comput Biol
Muhammed I   +3 more
europepmc   +1 more source

Quantitative Comparison of Ad‐Valorem Equivalents for Non‐Tariff Trade Measures: WTO Versus TRAINS

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Non‐tariff measures (NTMs) play a growing role in trade policy. Economists quantify NTMs by calculating their Ad Valorem Equivalents (AVE), typically employing one of two global NTM datasets: TRAINS from UNCTAD or WTO notifications. While TRAINS data better measure NTMs, their limited coverage over countries and time is inadequate for many ...
Sionegael Ikeme   +3 more
wiley   +1 more source

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