Machine learning-assisted hydrothermal process optimization yields carbon quantum dots from tea waste
A laboratory study using machine learning to optimize hydrothermal production of carbon quantum dots from tea processing waste reported a ...
A laboratory study using machine learning to optimize hydrothermal production of carbon quantum dots from tea processing waste reported a ...
A review synthesizes finite element modeling, artificial intelligence and digital-twin research for additive manufacturing of refractory alloys while identifying unresolved ...
A review identifies temperature, pH, substrate concentration, inoculum volume, mixing rate and fermentation time as optimization targets for ethanol production ...
A study of 306 microfluidic liposome formulations found that gradient boosting predicted polydispersity better than one prior benchmark and identified ...
Researchers at the Singapore University of Technology and Design have shown that infrared-assisted automated fiber placement can manufacture carbon fiber-polycarbonate ...
Researchers used Bacillus velezensis 259 fermentation, guided by whole-genome analysis and response surface optimization, to extract chondroitin sulfate from chicken ...
Every production process is, at its core, a black box. Engineers set parameters such as temperatures, pressures, feed rates, and ...
Chinese researchers show that ultrasonic vibration-assisted milling can machine hardened internal keyways in bearing steel with sub-micron surface finish, tight ...
Researchers have statistically optimized laser cladding parameters to bond crack-free Ni625 coatings onto ductile iron for nuclear fuel container applications.
Researchers in India combined µEDM drilling experiments on titanium with benchmarked machine learning models, explainable AI, and a surrogate-based inverse ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine