Results 211 to 220 of about 527,936 (311)

Synchrotron Radiation for Quantum Technology

open access: yesAdvanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader   +10 more
wiley   +1 more source

AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis. [PDF]

open access: yesSci Rep
Said Y   +6 more
europepmc   +1 more source

Versatile Cell Penetrating Peptide for Multimodal CRISPR Gene Editing in Primary Stem Cells

open access: yesAdvanced Functional Materials, EarlyView.
CRISPR machinery in diverse molecular formats (DNA, RNA, and ribonucleic protein) is complexed into nanoparticles with the cell‐friendly arginine‐alanine‐leucine‐alanine (RALA) cell‐penetrating peptide. Nanoparticles are delivered to primary mesenchymal stem cells ex vivo or locally in vivo to facilitate multimodal CRISPR gene editing. This RALA‐CRISPR
Joshua P. Graham   +9 more
wiley   +1 more source

Fractional Skyrmion Tubes in Chiral‐Interfaced 3D Magnetic Nanowires

open access: yesAdvanced Functional Materials, EarlyView.
In chiral 3D helical magnetic nanowires, the coupling between the geometric and magnetic chirality provides a way to create topological spin states like vortex tubes. Here, it is demonstrated how the breaking of this coupling in interfaced 3D nanowires of opposite chirality leads to even more complex topological spin states, such as fractional ...
John Fullerton   +11 more
wiley   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

open access: yesAdvanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer   +10 more
wiley   +1 more source

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