Roadmap for High‐Throughput Ceramic Materials Synthesis and Discovery for Batteries
This work examines ceramic synthesis through the lens of high‐throughput synthesis and optimization, identifying opportunities for faster, adaptable routes. It emphasizes flexible liquid precursor–to–solid film methods over slower solid‐state approaches and highlights computer‐aided decision making to optimize both material properties and device ...
Jesse J. Hinricher +10 more
wiley +1 more source
Hierarchical Bayesian models for small area estimation with GB2 distribution. [PDF]
Manandhar B, Nandram B.
europepmc +1 more source
Geographic disparities in Saskatchewan prostate cancer incidence and its association with physician density: analysis using Bayesian models. [PDF]
Andkhoie M, Szafron M.
europepmc +1 more source
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil +4 more
wiley +1 more source
Comparison of Bayesian Models to Estimate Survival From Dead-Recovery Alone and Together With Live-Encounter Data: Challenges and Opportunities. [PDF]
Schaub M, Badia-Boher JA.
europepmc +1 more source
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan +12 more
wiley +1 more source
Effects of different exercise types on craving in substance use disorder patients with drug dependence -network meta-analysis and dose-response relationships based on frequentist and Bayesian models. [PDF]
Wang C +5 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Using spatial Bayesian models to estimate associations between structural racial discrimination and disparities in severe maternal morbidity. [PDF]
Darville JA +7 more
europepmc +1 more source
Oxygen substitution in NaTaOxCl6‐2x drives structural evolution from isolated [TaCl6]– octahedra, through oxygen‐bridged [Ta2OCl10]2– dimers, toward extended trans‐[TaO2Cl4]3– chain‐like arrangements. At intermediate compositions, zero‐dimensional corner‐sharing motifs are proposed to create a flexible, disordered framework that peaks ionic ...
Justin Leifeld +17 more
wiley +1 more source

