Teaching during the COVID-19 Pandemic: Sharing Results and Data Obtained from the Ames Test. [PDF]
J Microbiol Biol Educ, 2021 Blanco V +5 more
europepmc +1 more source
α-Solanine Tested for Mutagenicity with Ames Test [PDF]
Acta Veterinaria Scandinavica, 1984 Per Erik Joner +2 more
openaire +3 more sources
Advanced Materials, EarlyView.This review highlights the potential of 2D‐2D heterostructures (HRs) in advancing monovalent ion‐based energy storage. It examines their role in tailoring charge interactions mechanisms, optimizing interfacial properties, and overcoming the limitations of individual layered materials.
Neetu Bansal +6 more
wiley +1 more source
A design method for entrance sections of transonic wind tunnels with rectangular cross sections [PDF]
A mathematical technique developed to design entrance sections for transonic or high-speed subsonic wind tunnels with rectangular cross sections is discribed.
Lionel, L., Mcdevitt, J. B.
core +1 more source
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Advanced Materials, EarlyView.Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi +4 more
wiley +1 more source
Prediction of the flow-field interference induced by the long-range laser velocimeter in the Ames 40- by 80-foot and the 80- by 120-foot wind tunnels [PDF]
The predicted flow disturbances induced in the test sections of the Ames 40- by 80-Foot Wind Tunnels by the presence of the Long-Range Laser Velocimeter (LRLV) are presented.
Reinath, M. S., Ross, J. C.
core +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
Advanced Materials, EarlyView.This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu +9 more
wiley +1 more source
Flight researh at NASA Ames Research Center: A test pilot's perspective [PDF]
In 1976 NASA elected to assign responsibility for each of the various flight regimes to individual research centers. The NASA Ames Research Center at Moffett Field, California was designated lead center for vertical and short takeoff and landing, V/STOL ...
Hall, G. Warren
core +1 more source
Mutagenicity of five food additives in Ames/Salmonella/microsome test [PDF]
, 2006 Ahmet Kayraldız +3 more
openalex +1 more source
Spin‐Polarized Antiferromagnets for Spintronics
Advanced Materials, EarlyView.This review highlights recent advances in anomalous and spin transport phenomena in spin‐polarized antiferromagnets. Key effects—including the anomalous Hall, Nernst, and magneto‐optical effects—are discussed across various antiferromagnetic platforms.
Zhenzhou Guo +5 more
wiley +1 more source