Results 191 to 200 of about 357,836 (316)
A study on turbulence characteristics of a rectangular three-dimensional wall jet in a confined space using particle image velocimetry. [PDF]
Zhang X, Liu H.
europepmc +1 more source
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
Numerical investigation of ultrasound-driven bubble-induced deformation of spherical solid cells. [PDF]
Park J, Son G.
europepmc +1 more source
Jet Propulsion Laboratory Report SPS-37-38, VOL. III
Bimonthly report presenting a review of engineering and scientific work performed, or managed by the Jet Propulsion Laboratory (JPL) for the National Aeronautics and Space Administration during a two-month period.
Jet Propulsion Laboratory (U.S.)
core
This paper presents an agar medium with a phosphorescent grid pattern that measures the stress distribution generated by growing plant roots. Using phosphorescence, the system optically separates the grid pattern from the root and extracts the grid deformation.
Gakuto Kagawa, Hidetoshi Takahashi
wiley +1 more source
Two Cases of Post-Operative Coronary-Cameral Fistulas After Unusual Myectomy Procedures. [PDF]
Toofaninejad N +3 more
europepmc +1 more source
Jet Propulsion Laboratory Report SPS-37-53, V. 3
Bimonthly report presenting a review of engineering and scientific work performed, or managed by the Jet Propulsion Laboratory (JPL) for the National Aeronautics and Space Administration during a two-month period (p. iii).
Jet Propulsion Laboratory (U.S.)
core
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee +2 more
wiley +1 more source
Quantifying vacuum-like jets in heavy-ion collisions: a machine learning study. [PDF]
Crispim Romão M +2 more
europepmc +1 more source

