Results 101 to 110 of about 24,269,673 (319)

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

open access: yesAdvanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

PAC-Bayesian Analysis of Martingales and Multiarmed Bandits

open access: yes, 2011
We present two alternative ways to apply PAC-Bayesian analysis to sequences of dependent random variables. The first is based on a new lemma that enables to bound expectations of convex functions of certain dependent random variables by expectations of ...
Auer, Peter   +4 more
core  

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

open access: yesAdvanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan   +9 more
wiley   +1 more source

AN APPLICATION OF THE BAYESIAN POISSON REGRESSION IN MODELLING ROOMMATE CONFLICT AMONG UNIVERSITY OF CAPE COAST STUDENTS

open access: yesRussian Journal of Agricultural and Socio-Economic Sciences, 2021
This paper introduces Bayesian analysis and demonstrates its application to parameter estimation of the Poisson regression via Markov Chain Monte Carlo (MCMC) algorithm using roommate conflict data.
Acquah J. De-Graft
doaj   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

open access: yesAdvanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam   +2 more
wiley   +1 more source

Molecular phylogeny and taxonomy of species of Cousinia section Stenocephalae (Asteraceae) in NE of Iran

open access: yesیافته‌های نوین در علوم زیستی, 2021
In this study, the phylogeny and morphological variation of 6 species of the genus Cousinia sect. Stenocephalae, i.e., C. hypopolia, C. decipiens, C. esfandiarii, C. renominata, C. stahliana and C.
Simin Kalouti   +4 more
doaj  

Bayesian Life Table Analysis

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1977
Summary The moments of the posterior p.d.f. of the probability of surviving to time t, P(t), are obtained, assuming a time-dependent Poisson process for failures and i.i.d. gamma prior densities for the hazard function. For improper densities the results reduce to the Kaplan–Meier estimate of p(t) and to the Cox result for the comparison
Cornfield, Jerome, Detre, Katherine
openaire   +2 more sources

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

open access: yesAdvanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin   +5 more
wiley   +1 more source

Estimating nonstationary inputs from a single spike train based on a neuron model with adaptation

open access: yesMathematical Biosciences and Engineering, 2013
Because every spike of a neuron is determined by input signals, a train of spikes may contain information about the dynamics of unobserved neurons. A state-space method based on the leaky integrate-and-fire model, describing neuronal transformation from ...
Hideaki Kim, Shigeru Shinomoto
doaj   +1 more source

Isolation Defines Identity: Functional Consequences of Extracellular Vesicle Purification Strategies

open access: yesAdvanced Healthcare Materials, EarlyView.
Four extracellular vesicle purification strategies are compared using ovarian‐cancer ascites and ES‐2 cell supernatants. A novel workflow links purification to function by combining particle‐normalized proteomics with matched cell‐free and cell‐based assays.
Christian Preußer   +10 more
wiley   +1 more source

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