Results 61 to 70 of about 61,093 (305)

Stochastically Generated Digital Twins of 3D Solid‐State Electrolyte Architecture

Advanced Functional Materials, EarlyView.
A stochastic model and validation suite were developed to produce the highest fidelity computer‐generated (Digital Twin) microstructures of random porous tape‐cast solid‐state battery architectures across µm to mm feature sizes from FIB‐SEM to X‐Ray µCT, respectively.
Jonathan O'Neill, Tanner Hamann, Huanyu Zhang, Faruk Okur, Annapaola Parrilli, Antonia Neels, Keith Duncan, Kostiantyn V. Kravchyk, Maksym V. Kovalenko, Eric D. Wachsman   +9 more
wiley   +1 more source

Impact of Disorder on Microscopic Superconducting and Normal‐State Responses in a Kagome Metal

Advanced Functional Materials, EarlyView.
Using depth‐resolved, field‐ and pressure‐dependent μSR$\umu{\rm SR}$ measurements, we show that disorder in Ta‐doped KV3Sb5 drives a crossover from nodal to nodeless superconductivity while strongly modifying the normal‐state magnetic response. Our results reveal that disorder affects superconductivity and magnetism in fundamentally different ways ...
J. N. Graham, S. S. Islam, G. Janka, A. Doll, P. Král, O. Gerguri, J. A. Krieger, T. J. Hicken, X. Xu, X. Yan, H. Qin, Z. Salman, A. Suter, T. Prokscha, R. Thomale, H. Luetkens, R. Khasanov, J.‐X. Yin, Z. Guguchia   +18 more
wiley   +1 more source

A new generalized inverse Gaussian distribution with Bayesian estimators

Discover Data
A new family of distributions, called the transformed inverse Gaussian (TIG) distribution with four parameters, is introduced. Within this family, a specific distribution called the new generalized inverse Gaussian (NGIG) distribution, with three ...
Kenneth Goward, Chin-I Cheng, Kahadawala Cooray, Keshab Raj Dahal   +3 more
doaj   +1 more source

Dopant Distribution in Ga‐Implanted CdO—A Correlative Microscopy and Molecular Dynamics Study

Advanced Functional Materials, EarlyView.
This work demonstrates that ion implantation offset angle could modulate carrier concentration and mobility in cadmium oxide thin films. Combining correlative microscopy workflow and molecular dynamics simulations, this study reveals the control of interfacial cluster density with tailoring implantation angles, and the optimum offset angle that ...
Morvarid Ghorbani, Bhaveshkumar Kamaliya, Maxwell J. Tolchin, Ryan W. Spangler, Youngji Kim, Joshua D. Caldwell, Jon‐Paul Maria, Nabil D. Bassim   +7 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Stochastic Volatility Model with Leverage and Asymmetrically Heavy-tailed Error Using GH Skew Student's t-distribution [PDF]

Bayesian analysis of a stochastic volatility model with a generalized hyperbolic (GH) skew Student's t-error distribution is described where we first consider an asymmetric heavy-tailness as well as leverage effects. An efficient Markov chain Monte Carlo
Jouchi Nakajima, Yasuhiro Omori
core   +3 more sources

The Inverse Gaussian distribution

, 1981
Bibliography: p. 133-136.
openaire   +2 more sources

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Bayes reliability measures of Lognormal and inverse Gaussian distributions under ML-II ε-contaminated class of prior distributions [PDF]

In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Reliability measures for an Inverse Gaussian (IG) distribution and Lognormal (LN) distribution to misspecification in the prior.
Sinha, Pankaj, Jayaraman, Prabha
core   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source