Results 171 to 180 of about 48,221 (295)

Hybrid cryo-nano MQL strategy for sustainable and high-performance machining of Monel 400. [PDF]

Sci Rep
Rao GN, Sivalingam S, Patel D, Arunkumar DT, Sankar SL, Pattanayak B, Juneja S, Aggarwal S, Bhowmik A, Abate L.   +9 more
europepmc   +1 more source

Viscoelasticity‐Induced Controllable Periodic Meso‐Textures of Liquid Crystal Polymers in Additive Manufacturing

Advanced Functional Materials, EarlyView.
Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou, Jiongyi Yan, Dick F. Firdaus, Amy Jin, Jiaxuan Li, Shushan Wang, Ran Chen, Xudong Tao, Zehao Ji, Yi Liu, Zichen Wang, Christos Margadji, Mark Kotter, J. Axel Zeitler, George G. Malliaras, Ronan Daly, Andrew Gleadall, Sebastian W. Pattinson   +17 more
wiley   +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

Comparative evaluation of dry, wet, and minimum quantity lubrication (MQL) cooling strategies in the machining of GTD-450 martensitic stainless steel. [PDF]

Sci Rep
Dastgerdi HM, Bakhshayesh AM, Saberi M, Hajaliakbari A, Davoodi B, Niknam SA.   +5 more
europepmc   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Influence of Cooling Strategies on Surface Integrity After Milling of NiTi Alloy. [PDF]

Materials (Basel)
Kowalczyk M.
europepmc   +1 more source

From In‐Silico Optimized Microfabrication to Experimental Validation: Engineering a Tridimensional Epi‐Intraneural Interface

Advanced Functional Materials, EarlyView.
An epi‐intraneural interface is developed through in silico optimization and a novel tridimensional microfabrication pipeline. The device integrates penetrating and epineural contacts on a flexible substrate. Mechanical, electrochemical, and in vivo testing in rat and pig reveal robust implantation, low‐threshold activation, and site‐dependent ...
Federico Ciotti, Andrea Cimolato, Noemi Gozzi, Pietro Palopoli, Luca Brugnoli, Natalija Katic Secerovic, Rebecca Gallivan, Alexander Shokurov, Carlo Menon, Johannes Weichart, Ignacio Delgado‐Martinez, Weiguo Song, Stavros Zanos, Xavier Navarro, Stanisa Raspopovic   +14 more
wiley   +1 more source

Investigation of the effect of copper content added to aluminum on cutting force in MQL turning. [PDF]

Sci Rep
Ficici F, Ozdemir I, Grund T, Lampke T.
europepmc   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Prediction of cutting parameters and reduction of output parameters using machine learning in milling of Inconel 718 alloy. [PDF]

Sci Rep
Hamıd MWH, Özlü B, Ulaş HB, Demir H.
europepmc   +1 more source