Results 231 to 240 of about 338,787 (319)

Bayesian Model Averaging and Bayesian Predictive Information Criterion for Model Selection

JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2008
openaire   +2 more sources

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

What affects the movement can be seen from the movement: Effects of optical information and dynamical constraints on movement production and perception. [PDF]

J Vis
Zhang H, Jiang F, Mao Y, Yang X, Pan JS.
europepmc   +1 more source

The Bayesian information criterion (BIC) values of nodes in nest site selection model. Lower values indicated the higher necessity in a model.

Dong-Yun Lee (11848808), Ju-Hyun Lee (3971768), Jong-Ju Son (18706868), Seung-Jun Oh (7139942), Ha-Cheol Sung (9180232)   +4 more
openalex   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Bayesian spatiotemporal evaluation of bovine anaplasmosis seroprevalence in Missouri (2010-2021). [PDF]

Front Vet Sci
Raghavan RK, Ierardi R, Osei FB, Zhang S.   +3 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Bayesian spatio-temporal modeling of COVID-19 incidence in Algerian provinces using integrated nested Laplace approximations. [PDF]

Sci Rep
Asri A.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

An efficient single-arm Bayesian adaptive trial algorithm to evaluate de-intensified oncologic treatment. [PDF]

Trials
Zhong Y, Baskurt Z, Aminilari M, Seelisch J, Renfro LA, Castellino SM, Xu W, Hodgson D.   +7 more
europepmc   +1 more source