Results 191 to 200 of about 11,008,598 (301)

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 optimized shunt active power filter using the golden Jackal optimizer for power quality improvement. [PDF]

Sci Rep
Bakria D, Laouid AA, Korich B, Beladel A, Teta A, Mohammedi RD, Elsayed SK, Ali E, Aeggegn DB, Ghoneim SSM.   +9 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Design of Continuous Deadbeat Control

Transactions of the Society of Instrument and Control Engineers, 1992
openaire   +2 more sources

An improved observer design approach for autonomous vehicles using error-based ultra-local model. [PDF]

Sci Rep
Fenyes D, Hegedus T, Nemeth B, Gaspar P.
europepmc   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

Improved ASHCPWM with Reduced IGBT Switching Actions and Kalman Filter-Based Zero-Sequence Suppression for Open-End Winding PMSM Drives. [PDF]

Micromachines (Basel)
Zhang Y, Qu M, Xie H, Xia Y, Hu L.
europepmc   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Fathering in a Pandemic: Low-Income Black Fathers' Experiences and Mental Health Stressors. [PDF]

Am J Mens Health
Anakwe A, Gilbert KL, Pham T, Majee W, Goodwin D, BeLue R.   +5 more
europepmc   +1 more source

Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing

Advanced Science, EarlyView.
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh, Ji Eun Kim, Suk Yeop Chun, Su In Hwang, Byung Seok Kim, Young Jae Lee, Ho Won Jang, Jung Ho Yoon   +7 more
wiley   +1 more source