Culinary Chemistry as a Platform for Interfacial Materials Design
Culinary processes control interfaces through heating, shear, gelation, and molecular transport. This Review connects selected gastronomic examples with food‐derived nanomaterials, plasmonic sensing, anthocyanin photovoltaics, and intelligent packaging. Original agar‐based plasmonic films illustrate the proposed translation.
Josep Moreno +12 more
wiley +1 more source
In production system for tool wear prediction using multi-sensor time series and machine learning models. [PDF]
Dreyer J +3 more
europepmc +1 more source
This review outlines critical engineering design rules for building artificial protective coatings on next‐generation lithium metal and silicon battery anodes. It highlights how balancing structural flexibility with strict electronic and ionic transport limits prevents early battery failure.
Surin Gupte, Vilas G. Pol
wiley +1 more source
Machine Learning-Based Prediction of Bioprinting Quality Using Integrated Experimental and Computational Data. [PDF]
Abu Maria K +3 more
europepmc +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Machine Learning in Contaminated Soil Remediation: From Monitoring, Source Apportionment, and Risk Assessment to Practical Applications. [PDF]
Li C +7 more
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Automated decision support tool for static angle modulated ports configuration in VMAT with dynamic collimator rotation for head and neck cancer. [PDF]
Hirashima H +5 more
europepmc +1 more source
Leveraging Mechanical Resonances for the Selection of Promising Materials in Complex Phase Spaces
A central challenge in materials science is the design of new functional materials with enhanced performance for targeted applications. This paper demonstrates that “listening” to materials through measuring their mechanical resonances is a rich, and largely untapped, platform for the rapid identification of promising novel compounds and a powerful ...
Christopher A. Mizzi +4 more
wiley +1 more source
Applying Artificial Intelligence to Expand the Measurement Tool Kit in Clinical-Psychological Science: Moving Beyond Self-Reports. [PDF]
Fairbairn CE, Bosch N.
europepmc +1 more source

