Results 61 to 70 of about 348,082 (329)

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Advanced Air Electrodes for Reversible Protonic Ceramic Electrochemical Cells: A Comprehensive Review

Advanced Materials, EarlyView.
Reversible protonic ceramic electrochemical cells (R‐PCECs) face challenges from sluggish and unstable oxygen reduction and evolution reactions in the air electrode. This review discusses recent progress in triple‐conducting air electrodes, emphasizing mechanisms, performance factors, and design strategies, offering guidance for creating efficient and ...
Xi Chen, Yeshu Tan, Zheng Li, Tong Liu, Yinghao Song, Shuo Zhai, Na Yu, Zongping Shao, Meng Ni   +8 more
wiley   +1 more source

Research on the Evolution of Defects Initiation and the Diffusion of Dopant on the Si/SiO2 Interface

Advanced Materials Interfaces, EarlyView.
This review mainly introduces the recent investigations on the mechanisms of interface defect initiation and dopant diffusion, and the comparisons and discussions of the initial mechanism of defects, structures of defects to provide valuable guidance for improving the performance and extending the lifespan of Si/SiO2 interfaces.
Yunqi Yang, Dongdong Chen, Di Li, Tianlong Zhao, Weida Zhang, Wen Qiao, Yingjie Liang, Yintang Yang   +7 more
wiley   +1 more source

A Protocol Using Compact 3D Printed Micro‐Optical Elements for Protein Identification from Low‐Intensity Amino‐Acid Raman Signals

Advanced Materials Technologies, EarlyView.
High speed Raman spectroscopy has various applications, e.g. the sequencing of proteins. However, low signal intensity coincides with the low measurement time. The study presents a protocol using only a small number of sensitive single‐photon detectors measuring optimized spectral regions.
Jannis Weinacker, Bikash Kumar Bhandari, Alba Viejo Rodriguez, Charlotte West, Francesco De Angelis, Francesco Tantussi, Nicolò Maccaferri, Nick Goldman, Martin Wegener   +8 more
wiley   +1 more source

Risk Assessment of X-Chromosomal Recessive Inheritance using Bayesian Approach: A Simulation Study

Malaysian Journal of Science and Advanced Technology
The main objectives of this study were to extract characteristics and to examine the transmission of a trait (disease) through X-linked recessive inheritance patterns in families.
Sajjad Bin Sogir, Kawser Ahamed, Pranto Roy, Hasibul Hassain Emon, Soham Sarker, Tanjum Maheen Zaman, Tapati Basak   +6 more
doaj   +1 more source

Chemical AI in the Limelight: The Contribution of Photochromic Materials and Oscillatory Chemical Reactions

Advanced Optical Materials, EarlyView.
Photochromic compounds are versatile ingredients for the development of Chemical AI. When they are embedded in a tight microenvironment, they become Markov blankets. They are also valuable for processing Boolean and Fuzzy logic. They contribute to neuromorphic engineering in wetware based on opto‐chemical signals exchanged with oscillatory chemical ...
Pier Luigi Gentili
wiley   +1 more source

Predictability of European winter 2020/2021: Influence of a mid‐winter sudden stratospheric warming

Atmospheric Science Letters, Volume 23, Issue 12, December 2022., 2022
Boreal winter 2020/2021 was characterised by a negative North Atlantic Oscillation (NAO) pressure pattern, yet the signals from the ensemble mean of many seasonal forecast systems were for a positive NAO. In this letter we focus on the GloSea5 seasonal forecast system and investigate if there is any evidence for forecast error, or whether the ...
Julia F. Lockwood, Nicky Stringer, Hazel E. Thornton, Adam A. Scaife, Philip E. Bett, Tamara Collier, Ruth Comer, Nick Dunstone, Margaret Gordon, Leon Hermanson, Sarah Ineson, Jamie Kettleborough, Jeff Knight, Joseph Mancell, Peter McLean, Doug Smith, Tony Wardle, Prince Xavier, Ben Youngman   +18 more
wiley   +1 more source

Application of Bayesian Networks to Quantitative Assessment of Safety Barriers’ Performance in the Prevention of Major Accidents

Chemical Engineering Transactions, 2016
Process plants are particularly subjected to major accidental events, whose catastrophic escalations, triggered by external factors and characterized by very high impact and low probability, can affect both workers and population in the nearby of a ...
V. Villa, V. Cozzani
doaj   +1 more source

Bayesian Analysis [PDF]

arXiv, 2000
After making some general remarks, I consider two examples that illustrate the use of Bayesian Probability Theory. The first is a simple one, the physicist's favorite "toy," that provides a forum for a discussion of the key conceptual issue of Bayesian analysis: the assignment of prior probabilities.
arxiv  

Star masses and bayesian probability [PDF]

Nature, 1994
The use of Bayes' theorem to pin down the mass limits of the few neutron stars found in binary systems is both a splendid illustration of the explicit use of a priori knowledge and a means to a useful result.
openaire   +2 more sources