Results 161 to 170 of about 10,354 (257)

On the Friction and Wear Mechanisms of Electrified Steel Contacts in CO2: Unveiling the Role of Carbon‐Rich Tribofilms Under Dry Sliding Conditions

open access: yesAdvanced Materials Interfaces, EarlyView.
This study investigates friction and wear of AISI 52100 steel under dry sliding in CO2, air, and N2 atmospheres, with and without contact electrification. CO2 forms a stable carbon‐rich tribofilm that reduces friction by ∼30% and wear by ∼85%. High‐resolution TEM, EELS, and molecular dynamics reveal pressure‐dependent lubrication mechanisms, showing ...
Julio A. Cao‐Romero‐Gallegos   +6 more
wiley   +1 more source

Spin‐On SiOx‐Assisted Inkjet Printing for Interdigitated n+ and p+ Poly‐Si/SiOx Contacts in Silicon Solar Cells With Suppressed Unintended Doping

open access: yesAdvanced Materials Technologies, EarlyView.
This work presents an innovative spin‐on SiOx‐assisted inkjet‐printed approach to form localized n+ and p+ poly‐Si/SiOx passivating contacts for high‐efficiency silicon solar cells within a single‐annealing step. The developed process results in a well‐defined interdigitated doping pattern, with unintended doping and cross‐doping concentrations ...
Jiali Wang   +8 more
wiley   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane   +4 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

Habitat context affects sediment nitrogen burial by restored Eastern Oyster reefs. [PDF]

open access: yesPLoS One
Smiley AMH   +5 more
europepmc   +1 more source

Benchmarking Coaxial and Angular Optical Emission Spectroscopy With Recommendations for Reliable Compositional In Situ Monitoring During Laser Powder Bed Fusion

open access: yesAdvanced Materials Technologies, EarlyView.
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel   +4 more
wiley   +1 more source

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