Results 91 to 100 of about 689,445 (290)

Richiamo visivo

And, 2011
A perfect prism, lying on the waters of the Port of Rohner harbour, stands as an over-whelming presence with its absolute and peremptory geometry, marked by eight horizontal bands consisting of glass plates, made opalescent by an irregular outer ...
Marco Borsotti
doaj  

Comprehensive experimental study on the impact of size and geometry of 3D-printed devices on solid-phase extraction efficiency and reproducibility

Talanta Open
Our study investigated the impact of 3D-printed sorbent device geometry on extraction of benzodiazepines (BZD). Utilizing additive manufacturing (AM), we created devices with varying shapes and sizes, including cylinders and volumetric lattices.
Bartosz Marciniak, Paweł Georgiev, Dagmara Kroll, Szymon Ulenberg, Tomasz Bączek, Mariusz Belka   +5 more
doaj   +1 more source

Absolute Geometry: From Basics to the π-rule of the Ф-invariant Physics

, 2021

openalex   +1 more source

Rational Fine‐Tuning of MOF Pore Metrics: Enhanced SO2 Capture and Sensing with Optimal Multi‐Site Interactions

Advanced Functional Materials, EarlyView.
A pore tuning strategy to amplify the multi‐site MOF‐SO2 interactions is proposed to achieve an enhanced trace SO2 capture and chemiresistive sensing in highly stable isostructural DMOFs by annelating benzene rings. This work provides a facile strategy to achieve tailor‐made stable MOF materials for specific multifunctional applications.
Shanghua Xing, Abdulrahman Mohabbat, István Boldog, Jens Möllmer, Marcus Lange, Yulyan Haiduk, Tobias Heinen, Vladimir Pankov, Oliver Weingart, Christoph Janiak   +9 more
wiley   +1 more source

Searching optimal process parameters for desired layer geometry in wire-laser directed energy deposition based on machine learning

Virtual and Physical Prototyping
The quantitative prediction of more process parameter variables for fewer layer geometry variables is challenging in wire-laser DED. This study’s novelty is combining machine learning models with a non-dominated sorting genetic algorithm-II (NSGA-II) to ...
Yuhua Cai, Yuxing Wang, Hui Chen, Jun Xiong   +3 more
doaj   +1 more source

Methyl (Sp)-2-(diphenylphosphino)ferrocene-1-carboxylate

Acta Crystallographica Section E, 2009
The title compound, [Fe(C5H5)(C19H16O2P)], obtained serendipitously during recrystallization of 1-hydroxybenzotriazolyl (Sp)-2-(diphenylphosphino)ferrocene-1-carboxylate from methanol, crystallizes in the chiral space group P212121. Its crystal structure
Petr Štěpnička, Jiří Tauchman, Ivana Císařová   +2 more
doaj   +1 more source

A taste of Weil theory in characteristic one

, 2015
In this very short and sketchy chapter, we draw some pictures on the arithmetic theory of $\mathbb{F}_1$.Comment: 23 pages; to appear as a chapter in the monograph "Absolute Arithmetic and $\mathbb{F}_1$-Geometry" (ed. K.
Thas, Koen
core  

Enhancing CoFe Catalysts with V2CTX MXene‐Derived Materials for Anion Exchange Membrane Electrolyzers

Advanced Functional Materials, EarlyView.
MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan, Karuppasamy Dharmaraj, Thorsten Schultz, Leiqiang Qin, Ningjun Chen, Danielle A. Douglas‐Henry, Bastian Schmiedecke, Merve Buldu‐Akturk, Axel Zuber, Iris Dorbandt, Maximilian Reinhardt, Yael Rodriguez‐Ayllon, Yan Lu, Valeria Nicolosi, Norbert Koch, Johanna Rosen, Michelle P. Browne   +16 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source