Results 161 to 170 of about 1,158,587 (297)

Editorial: Passive brain-computer interfaces: moving from lab to real-world application. [PDF]

Front Comput Neurosci
Ronca V, Longo L, Capotorto R, Aricò P.
europepmc   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

A hybrid system for detecting semiconductor wafer defects using modified MobileNet with multi-head attention. [PDF]

PLoS One
Dhar S, Al Farid F, Islam MS, Uddin J, Mansor S.   +4 more
europepmc   +1 more source

Tailored Hierarchical Porous Copper Architectures via Three Dimensional Printing and Pressure‐less Sintering for Next‐Generation Lithium‐Metal Batteries

Advanced Engineering Materials, EarlyView.
A hierarchical porous copper current collector is fabricated via three‐dimensional printing combined with pressureless sintering to stabilize lithium metal anodes. The interconnected architecture lowers local current density, guides uniform Li deposition within pores, and suppresses dendrite growth.
Alok Kumar Mishra, Mukul Shukla
wiley   +1 more source

Exploring Agentic AI in Healthcare: A Study on Its Working Mechanism. [PDF]

Front Med (Lausanne)
Srinivasu PN, Aruna Kumari GL, Ahmed S, Alhumam A.   +3 more
europepmc   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

Advanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source

Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks. [PDF]

Proc Natl Acad Sci U S A
Gao ML, Williams JP, Kutz JN.
europepmc   +1 more source

Powder Optimization Strategies for Binder Jetting Printing of BaTiO3 and Ba0,6Sr0,4TiO3 Ceramics

Advanced Engineering Materials, EarlyView.
Powder optimization is investigated to enable binder jetting of BaTiO3 and Ba0.6Sr0.4TiO3 ferroelectric ceramics. The antagonistic relationship between flowability and binder compatibility is addressed through binder impregnation of granulated powders and fumed silica addition to fine powders.
Fanny Pruvost, Lionel Presmanes, Soléna Colin, Marie Vidal, Sophie Guillemet‐Fritsch   +4 more
wiley   +1 more source

A robust deep learning approach for impulse noise filtering using hybrid auto-encoder with fuzzy median filter. [PDF]

PLoS One
Naeem M, Bhatti SM, Rashid M, Jaffar A, Akram S, Fida B, Ahmad A.   +6 more
europepmc   +1 more source

Evaluating Energy Absorption Performance of Filled Lattice Structures

Advanced Engineering Materials, EarlyView.
Maximum stress must be considered to robustly evaluate energy absorber designs. This approach was applied to compare all types of absorbers in a single Ashby diagram and determine the utility of filling lattice voids with a second material. High‐performance fillers can improve the performance of lattices that are limited by buckling or catastrophic ...
Christian Bonney, William P. King, Iwona Jasiuk   +2 more
wiley   +1 more source