Results 191 to 200 of about 592,133 (314)
Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source
Preclinical Evaluation of the SMNP-Adjuvanted R21 Malaria Vaccine Across Multiple Mouse Strains. [PDF]
Turan G +3 more
europepmc +1 more source
Pinnacle Science Testo Boost Reviews: Real Pills Price & Ingredients! v1
Pinnacle Science Testo Boost
core +1 more source
A Novel Approach to Estimate the Transition Temperature via Dynamic Nanoindentation
A new dynamic nanoindentation‐based method was developed that uses the stiffness ratio as an indicator of the elastic–plastic deformation contributions at different temperatures. The approach successfully identified transition temperatures in ferritic steel and distinguished them from continuously ductile austenitic steel.
Stefan Zeiler +4 more
wiley +1 more source
Final report of the SIOP-CNS-GCT II protocol for germinoma: Omitting radiotherapy boost is safe in localized disease in complete remission after chemotherapy. [PDF]
Calaminus G +19 more
europepmc +1 more source
Additive manufacturing introduces pronounced microstructural and crystallographic anisotropy in Ni‐based superalloys, resulting in orientation‐dependent creep deformation and damage. This review identifies the key microstructural origins of creep anisotropy, examines their influence on dominant deformation mechanisms, and highlights processing ...
Chandan Kumar +3 more
wiley +1 more source
Measured and modelled nicotine emissions predict systemic nicotine exposure across sub-ohm and pod-based ENDS. [PDF]
Talih S +7 more
europepmc +1 more source
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source

