Results 181 to 190 of about 9,405,925 (227)

Physics-informed neural networks with caputo-fabrizio derivatives for nonlinear fractal-fractional delay equations and chaotic systems. [PDF]

Sci Rep
Khan H, Sulaiman M, Laouini G, Rahman IU, Salman MA.   +4 more
europepmc   +1 more source

Beyond Thin Film Limits—Superhard and Hydrogen‐Free Amorphous Carbon Coatings With Over 100 µm Thickness

Advanced Functional Materials, EarlyView.
For the first time, an extreme‐thick laser‐arc PVD ta‐C (DLC) coating exceeding 100 µm is demonstrated, opening up new possibilities for ultra‐high load bearing capacity. This superhard amorphous carbon architecture combines >50% sp3 bonding, robust adhesion and self‐supporting performance, shielding substrates from plastic flow under extreme contact ...
Martin Zawischa, Frank Kaulfuß, Stefan Makowski, Volker Weihnacht   +3 more
wiley   +1 more source

The Effect of Hydrophilic Headgroup Chemistry on Peptoid‐Directed Mineralization of CaCO3

Advanced Functional Materials, EarlyView.
Amphiphilic peptoids alter the pathway and outcome of calcium carbonate crystallization, which progresses through amorphous calcium carbonate (ACC) to vaterite to calcite rhombs in the absence of peptoids. In contrast, amine‐terminated peptoids produce vaterite disks and carboxyl‐terminated peptoids produce calcite mesocrystals.
Biao Jin, Chunhui Wu, Thi Kim Hoang Trinh, Wenhao Zhou, Chun‐Long Chen, James J De Yoreo   +5 more
wiley   +1 more source

Operator-level quantum acceleration of non-logconcave sampling. [PDF]

Proc Natl Acad Sci U S A
Leng J, Ding Z, Chen Z, Lin L.
europepmc   +1 more source

Oxygen Evolution Electrocatalysts with Trinuclear, Mixed‐Valence Iron Motifs on Electronically Aligned Carbon Dots

Advanced Functional Materials, EarlyView.
Trinuclear iron oxo‐bridged catalytic ensembles stabilized by aspartic‐acid‐derived carbon dots provide an effective platform for alkaline oxygen evolution. Mixed‐valence charge balancing, inner‐sphere charge transport, and work‐function alignment within the N/O‐rich carbon framework promote cooperative Fe‐site chemistry and efficient OER ...
Megha A. Deshmukh, Giorgio Zoppellaro, Emiliano Fonda, Lukáš Zdražil, Shounik Paul, David Panáček, Hanuman Thorat, Zdeněk Badura, Michele Melchionna, Manuela Bevilacqua, Paolo Fornasiero, Klaus Müllen, Radek Zbořil, Aristides Bakandritsos   +13 more
wiley   +1 more source

Interpretable Reaction-Diffusion Learning for Molecular Communication via Graph Kolmogorov-Arnold Networks. [PDF]

IEEE Trans Mol Biol Multiscale Commun
Dong L.
europepmc   +1 more source

Dynamic Observation of Lacy Pattern Formation in a Bone Tissue Model Using Liquid Phase Scanning Transmission Electron Microscopy

Advanced Functional Materials, EarlyView.
Here, we establish a low‐dose liquid‐phase electron microscopy workflow for real‐time observation of biological processes in hydrated conditions. Beam damage is reduced by imaging only 20% of the pixels and reconstructing the complete image using an inpainting algorithm.
Luco Rutten, Avital Wagner, Rona Roverts, Luco Buise, Ben Joosten, Anat Akiva, Elena Macías‐Sánchez, Nico Sommerdijk   +7 more
wiley   +1 more source

Insulating‐Passivating Interfaces for Narrow‐Bandgap Tin‐Lead Perovskites Enable High‐Photovoltage in Single‐ and Double‐Junction Solar Cells

Advanced Functional Materials, EarlyView.
Combining field‐effect surface passivation of a narrow‐bandgap tin–lead perovskite by diammonium ions with introducing oleyl‐based amphiphiles to create insulating interface layers between the absorber and the adjacent hole and electron transporting layers increases the open‐circuit voltage to 91.5% of the detailed‐balance limit and enhances the power ...
Vishnu Vijayakumar, Christ H. L. Weijtens, Laura Bellini, Nick R. M. Schipper, Isabella Taupitz, Maxim Simmonds, Johannes C. Lambooij, Anuja Vijayan, Lana M. Kessels, Simon V. Quiroz Monnens, Guus J. W. Aalbers, Willemijn H. M. Remmerswaal, Stefan C. J. Meskers, Shuaifeng Hu, Junke Wang, Martijn M. Wienk, Henry J. Snaith, Steve Albrecht, René A. J. Janssen   +18 more
wiley   +1 more source

Machine learning-assisted noise characterization and entanglement verification in superconducting qubits. [PDF]

Front Artif Intell
Delhibabu R.
europepmc   +1 more source