Results 241 to 250 of about 93,434 (314)

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

An Information-Theoretic Model of Abduction for Detecting Hallucinations in Explanations. [PDF]

Entropy (Basel)
Galitsky B.
europepmc   +1 more source

Fuzzy Description Logic

, 2015
Bobillo, F, Cerami, M, Esteva, F, García-Cerdaña, A, Peñaloza, R, Straccia, U   +5 more
openaire   +2 more sources

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 more
wiley   +1 more source

A mixed methods process evaluation of a collaborative outpatient palliative care clinic for patients with end-stage liver disease. [PDF]

BMC Palliat Care
Warmels G, Wills A, Bruni A, Cohen L, Kelly E, Downar J, Patel AA, Dargavel G, Rauthu S, Isenberg SR.   +9 more
europepmc   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

Rock-paper-scissors interactions enable thermal localization. [PDF]

Natl Sci Rev
Li J, Qiu CW.
europepmc   +1 more source

Rational Design of Weakly‐Solvating Molecules for Salt‐In‐Pre‐Ionic‐Liquid Electrolytes for Li Metal Batteries

Advanced Science, EarlyView.
The weakly‐solvating TFMSPyr electrolyte tailors the Li+ solvation structure by suppressing solvent coordination and promoting anion‐dominated solvation. This unique solvation environment induces preferential anion decomposition at electrode interfaces, forming robust inorganic rich S/CEI.
Bishnu P. Thapaliya, Vaidyanathan Sethuraman, Naresh C. Osti, Arvind Ganesan, K. Shawn Reeves, Michael J. Zachman, Albina Y. Borisevich, Harry M. Meyer III, Xiao‐Guang Sun, Eugene Mamontov, Lei Cheng, Sheng Dai   +11 more
wiley   +1 more source

Negotiating Physical Health: Professional Logics in Community Mental Health Practice. [PDF]

Int J Environ Res Public Health
Pult G, Frank F.
europepmc   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source