Results 271 to 280 of about 294,200 (356)

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

Study on Nanoindentation Properties of FCC/B2 Nanostructured Films with Superelastic NiTi Interlayers. [PDF]

open access: yesMaterials (Basel)
Fang R   +8 more
europepmc   +1 more source

Observation of a non-reciprocal skyrmion Hall effect of hybrid chiral skyrmion tubes in synthetic antiferromagnetic multilayers. [PDF]

open access: yesNat Commun
Dohi T   +16 more
europepmc   +1 more source

Self-assembled polyelectrolytes with ion-separation accelerating channels for highly stable Zn-ion batteries. [PDF]

open access: yesNat Commun
Hu X   +10 more
europepmc   +1 more source

Ultrasonic cavitation shock wave exfoliation dynamics of 2D materials revealed in situ by MHz XFEL imaging and multiphysics modeling. [PDF]

open access: yesSci Adv
Xiang K   +25 more
europepmc   +1 more source

Electric-Field Tunable Anisotropic <i>g</i>-Factor Induced by Spin Pumping. [PDF]

open access: yesNano Lett
Shao J   +9 more
europepmc   +1 more source
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Weak polyelectrolyte-based multilayers via layer-by-layer assembly: Approaches, properties, and applications

Advances in Colloid and Interface Science, 2020
Layer-by-layer (LbL) assembly is a nanoscale technique with great versatility, simplicity and molecular-level processing of various nanoscopic materials.
Weiyong Yuan   +2 more
exaly   +2 more sources

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