Positive‐Tone Nanolithography of Antimony Trisulfide with Femtosecond Laser Wet‐Etching
A butyldithiocarbamic acid (BDCA) etchant is used to fabricate various micro‐ and nanoscale structures on amorphous antimony trisulfide (a‐Sb2S3) thin film via femtosecond laser etching. Numerical analysis and experimental results elucidate the patterning mechanism on gold (reflective) and quartz (transmissive) substrates.
Abhrodeep Dey +12 more
wiley +1 more source
Cutting Mechanism on Ultrasonic Vibration Cutting (1st Report)
Hiroyuki SASAHARA, Kei HARADA
openaire +2 more sources
Electroactive Metal–Organic Frameworks for Electrocatalysis
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
The impact of adjuvant antibiotic hydrogel application on the primary stability of uncemented hip stems. [PDF]
Orfanos G +6 more
europepmc +1 more source
Variable Presentations of Photodermatoses - A Case Series.
Renukuntla SV, Kolekar KK, Phulari YJ.
europepmc +1 more source
Saugerties, Town of, Saugerties Highway Department and International Brotherhood of Teamsters (IBT) Local 445 (2005) [PDF]
core +1 more source
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker +5 more
wiley +1 more source
Establishing an in vivo large animal model of one-lung ventilation and operative lung trauma. [PDF]
Giffin C +5 more
europepmc +1 more source
Malta, Town of and Town of Malta Highway Department Unit, International Brotherhood of Teamsters (IBT), Local 294 (2011) [PDF]
core +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source

