Results 191 to 200 of about 121,660,120 (301)

Latent persistence in fMRI dynamics during human memory consolidation. [PDF]

Neuroimage Rep
Bartzioka M, Khosravi M.
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Lyapunov exponents explain disorder-induced polarization and soliton jumping in a mechanical Markov system. [PDF]

Nat Commun
Stephenson W, Cheng N, Sun K, Mao X.
europepmc   +1 more source

The Importance of Metal‐Organic Framework Linker Atoms for CO2 Reduction: A DFT Study

Advanced Science, EarlyView.
Using DFT, we examine the role of linker atoms in CO2 reduction on copper‐based metal organic frameworks (Cu MOFs). Our calculations reveal that linker atoms may serve as both CO2 and H‐shuttling sites and suggest linker electrostatics as a descriptor for linker activity. ABSTRACT Although the metal within the secondary building unit of a metal‐organic
Ugochukwu Nwosu, Samira Siahrostami
wiley   +1 more source

A Comparative Study of PID and Bio-Inspired Fuzzy Controllers for Speed Regulation of Low-Cost Geared DC Motors. [PDF]

Biomimetics (Basel)
Petrescu I, Băjenaru VD, Popescu DM, Vulturescu V, Ungureanu LM.   +4 more
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Operationalizing the physiological state (P) in nonlinear behavioral systems: a measurement framework for state-dependent dynamics. [PDF]

Front Psychol
Gomez Uncu YM.
europepmc   +1 more source

A general theory of nonlinear estimation problems in control systems

Journal of Mathematical Analysis and Applications, 1964
openaire   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Geometry-controlled instability pathway selection in elastic helices enables fast, efficient robotic locomotion. [PDF]

Sci Adv
Tong D, Wang J, Chen Z, Borum A, Huang W, Huang X, Jawed MK.   +6 more
europepmc   +1 more source