Results 91 to 100 of about 1,445,310 (334)

Elucidating the Supramolecular Interaction of Positively Supercharged Fluorescent Protein with Anionic Phthalocyanines

open access: yesAdvanced Biology, EarlyView.
Positively supercharged mGreenLatern protein is self‐assembled electrostatically with negatively charged zinc phthalocyanines to yield bio‐based photoactive materials in aqueous media. The addition of phthalocyanines results in the formation of large complexes fully quenching of the protein fluorescence. The results indicate an energy transfer from the
Sharon Saarinen   +10 more
wiley   +1 more source

Quantum Computing via The Bethe Ansatz [PDF]

open access: yesQuantum Inf Process (2012) 11:585-590, 2011
We recognize quantum circuit model of computation as factorisable scattering model and propose that a quantum computer is associated with a quantum many-body system solved by the Bethe ansatz. As an typical example to support our perspectives on quantum computation, we study quantum computing in one-dimensional nonrelativistic system with delta ...
arxiv   +1 more source

Coacervates Composed of Low‐Molecular‐Weight Compounds– Molecular Design, Stimuli Responsiveness, Confined Reaction

open access: yesAdvanced Biology, EarlyView.
Coacervation driven by liquid‐liquid phase separation (LLPS) of biopolymers has garnered increasing attention in biology since this leads to the formation of membraneless organelles capable of performing essential yet largely unknown functions. This review highlights recent advances in coacervates (artificial condensates) composed of low‐molecular ...
Sayuri L. Higashi, Masato Ikeda
wiley   +1 more source

Large k topological quantum computer

open access: yesNuclear Physics B, 2023
Chern-Simons topological quantum computer is a device that can be effectively described by the Chern-Simons topological quantum field theory and used for quantum computations.
Nikita Kolganov   +2 more
doaj  

SIMULATION OF QUANTUM SEARCH ALGORITHM

open access: yesJurnal Ilmu Komputer dan Informasi, 2013
The rapid progress of computer science has been accompanied by a corresponding evolution of computation, from classical computation to quantum computation.
Rina Refianti, Achmad Benny Mutiara
doaj   +1 more source

The Regulation of Trace Metal Elements in Cancer Ferroptosis

open access: yesAdvanced Biology, EarlyView.
The induction of ferroptosis inhibits tumor growth, enhances anticancer efficacy, and overcomes drug resistance. Recent evidence shows nonferrous metal elements play a role in ferroptosis. This review focuses on how trace metals regulate ferroptosis processes like iron accumulation, lipid peroxidation, and antioxidant defense.
Xiaoyan Wang   +5 more
wiley   +1 more source

Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative

open access: yesAdvanced Engineering Materials, EarlyView.
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier   +37 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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