Results 111 to 120 of about 38,563 (254)

Molecular Design Strategies for High‐Voltage Organic Cathodes

Advanced Energy Materials, EarlyView.
This work proposes molecular engineering strategies for high‐voltage organic cathode materials for Li‐ion batteries: (1) increase Li‐O coordination number (CN), (2) achieve a greater increase in aromaticity upon reduction (∆Aromaticity), and (3) add an electron‐withdrawing group (EWG), through a combined experimental and computational study on reported
Sungil Hong, Alae Eddine Lakraychi, Artur Lyssenko, Abhishek Ashwin Panchal, Harshan Reddy Gopidi, Pieremanuele Canepa, Rafael Gómez‐Bombarelli, Yan Yao, Rajeev Surendran Assary   +8 more
wiley   +1 more source

Disorder‐Driven Ionic Mobility Edge and Localization‐Driven Dendrite Formation in Solid Electrolytes

Advanced Energy Materials, EarlyView.
Migration‐barrier disorder localizes ionic transport into a sparse percolation backbone. Current and electric‐field focusing at filament tips promote fractal dendrite growth and suppress the critical current density according to jcrit = j0 exp(−σEeff/kBT).
Dongwook Lee, Jiwon Seo
wiley   +1 more source

A general framework for extrapolation-aware prediction reliability in forward and inverse analyses of Gaussian mixture regression models. [PDF]

Anal Sci
Kaneko H.
europepmc   +1 more source

Food Prices and Inflation Expectations in New Zealand

Agribusiness, EarlyView.
ABSTRACT Food prices are conspicuous, and spending on food constitutes a considerable share of household expenditure. In this study, we use partially identified Bayesian structural vector autoregression models to analyze the effects of food price shocks on core inflation and 1‐ and 5‐year inflation expectations in New Zealand.
Puneet Vatsa, Gabriel Pino, Alex Acheampong   +2 more
wiley   +1 more source

Learning variable-order time fractional diffusion equations using Physics-Informed Neural Networks. [PDF]

PLoS One
Ren L, Jin S.
europepmc   +1 more source

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

AIChE Journal, EarlyView.
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho, Akshay Kudva, Parth Shah, Dongheon Lee, Joseph Sang‐Il Kwon   +4 more
wiley   +1 more source

Gradient Systems and Asymmetric Relaxations in View of Riemannian Geometry. [PDF]

Entropy (Basel)
Bravetti A, García Ariza MÁ, Romero-Arias JR.   +2 more
europepmc   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing. [PDF]

J Math Biol
Petti S, Martí-Gómez C, Kinney JB, Zhou J, McCandlish DM.   +4 more
europepmc   +1 more source

THE NORMAL INVERSE GAUSSIAN DISTRIBUTION AND SPOT PRICE MODELLING IN ENERGY MARKETS

, 2004
F. Benth, J. Saltyte-Benth
semanticscholar   +1 more source