Results 221 to 230 of about 17,919,150 (332)

Three-Dimensional Evaluation of Marginal Gap in Prefabricated Zirconia and 3D-Printed Pediatric Crowns. [PDF]

Materials (Basel)
Karaağaç Eskibağlar B, İpek İ, Rençber Kızılkaya A.   +2 more
europepmc   +1 more source

Using Instrumental Variables for Inference about Policy Relevant Treatment Effects

, 2017
Magne Mogstad, Andrés Santos, Alexander Torgovitsky   +2 more
semanticscholar   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Enhanced Marginal Sensitivity Model and Bounds. [PDF]

J Am Stat Assoc
Zhang Y, Xu W, Tan Z.
europepmc   +1 more source

Materials‐Driven Additive Manufacturing for Electrical Machines: Qualification‐Oriented Design Beyond Geometric Freedom

Advanced Engineering Materials, EarlyView.
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley   +1 more source

GPR4 regulates temporally dynamic and sex-dependent cocaine-induced locomotor sensitization. [PDF]

Front Mol Neurosci
Chai ES, Glaser D, Cascone J, Brady G, Bader A, Cacoulidis C, Kapoor A, Yu E, Chu Y, Sapkota S, Ding S, Chu XP.   +11 more
europepmc   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Body mass index modifies the association between occupational noise exposure duration and ultrasound‑detected hepatic steatosis: A cross-sectional study among male factory workers. [PDF]

PLoS One
Liu D, Ji H, Chen Y, Zhou T.
europepmc   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Lower limits of CRRT dose-intensity: what does the evidence support? [PDF]

Crit Care
Lumlertgul N, Bagshaw SM.
europepmc   +1 more source