Results 141 to 150 of about 1,125,542 (261)

Understanding and Designing Phase Change Materials: Insights From Atom Probe Tomography

Advanced Science, EarlyView.
Atom probe tomography can distinguish metallic, covalent, and metavalent bonds based upon their bond rupture; in particular, the probability to form more than one ion (PME) in laser‐assisted field evaporation. These findings open new avenues in understanding and designing phase change materials (PCMs) since they allow quantification of bonds in solids ...
Jan Köttgen, Nils von den Driesch, Alexander Pawlis, Matthias Wuttig   +3 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

The Degree of Financial Liberalization and Aggregated Stock-return Volatility in Emerging Markets [PDF]

In this study, we address whether the degree of financial liberalization affects the aggregated total volatility of stock returns by considering the time-varying nature of financial liberalization.
Akdeniz, L., Umutlu, M., Salih, A.A.
core  

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

Anisotropic Memristive Switching in NbOCl2 Enabled by Directional Oxygen Ion Migration

Advanced Science, EarlyView.
This study investigates strongly orientation‐dependent memristive switching in anisotropic NbOCl2, observed exclusively along the in‐plane c‐axis. The switching originates from direction‐selective oxygen‐ion migration and vacancy propagation that modulate the Pd/NbOCl2 Schottky barrier, enabling short‐term plasticity.
Caokun Wang, Yun Ji, Sanchali Mitra, Yufei Shi, Haofei Zheng, Yee Sin Ang, Kah‐Wee Ang   +6 more
wiley   +1 more source

Predicting Stock Volatility Using After-Hours Information [PDF]

We use realized volatilities based on after hours high frequency returns to predict next day volatility. We extend GARCH and long-memory forecasting models to include additional information: the whole night, the preopen, the postclose realized variance ...
Chun-Hung Chen, Eric Zivot, Wei-Choun Yu
core  

Real‐Time Ferroelectric Domain Wall Dynamics During Electric Poling and Depoling

Advanced Science, EarlyView.
Real‐time visualization of domain wall dynamics during alternating‐current poling, direct‐current poling, and electrical depoling in relaxor‐PT ferroelectric single crystals reveals distinct field‐dependent pathways and strong path dependence. Instant polarized light microscopy uncovers reversible domain wall nucleation, motion, and reconfiguration ...
Ziqi Wang, Zhengze Xu, Anastasia Timofeeva, Hossam Elnaggar, Sipan Liu, Yusen Pei, Reece Henry, Brendan O'Connor, Eunkyoung Shim, Franky So, Kara Peters, Xiaoning Jiang, Jun Liu   +12 more
wiley   +1 more source

The Day-of-the-Week Effect on Stock-Market Volatility and Return: Evidence from Emerging Markets (in English) [PDF]

This study investigates day-of-the-week (DOW) anomalies in the stock markets of twenty emerging economies. The authors use a modified exponential generalized autoregressive conditional heteroskedasticity in-mean (EGARCH-M) modeling strategy that allows ...
Yeliz Yalcin, Eray M. Yycel
core  

Hamaker Constants of van der Waals Materials under Clean‐Interface Conditions

Advanced Science, EarlyView.
Clean‐interface adhesion in representative van der Waals materials is quantified by Ultra High Vacuum (UHV) Atomic Force Microscopy (AFM) with in situ cleaning and calibrated probes. Benchmark Hamaker constants for graphene, MoS2, and SiO2 are established, while humidity is shown to reversibly amplify adhesion, explaining much of the scatter in ...
Daniel Gallego‐Fuente, Jaime Colchero, Julio Gomez‐Herrero, Pablo Ares   +3 more
wiley   +1 more source

Volatility Forecasting [PDF]

Volatility has been one of the most active and successful areas of research in time series econometrics and economic forecasting in recent decades. This chapter provides a selective survey of the most important theoretical developments and empirical ...
Tim Bollerslev, Torben G. Andersen, Francis X. Diebold, Peter F. Christoffersen   +3 more
core   +2 more sources