Results 61 to 70 of about 3,218 (192)

An operator Riccati equation and reflectionless Schrodinger operators

Математичні Студії
In this paper, we study a connection between the operator Riccati equation $\displaystyle S'(x)=KS(x)+S(x)K-2S(x)KS(x), \quad x\in\mathbb{R}, $ and the set of reflectionless Schr\"odinger operators with operator-valued potentials.
Ya. V. Mykytyuk, N. S. Sushchyk
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

A discrete homotopy perturbation method for non-linear Schrodinger equation [PDF]

Computational Ecology and Software, 2015
A general analysis is made by homotopy perturbation method while taking the advantages of the initial guess, appearance of the embedding parameter, different choices of the linear operator to the approximated solution to the non-linear Schrodinger ...
H. A. Wahab, Khalid Usman, Muhammad Naeem, et al.   +2 more
doaj  

Spectroscopic and In Silico Determination of the Structural and Antioxidant Properties of Essential Oils From Lavandula Species Cultivated in the Silivri Region of Istanbul

Journal of the American Oil Chemists' Society, EarlyView.
ABSTRACT Plants are important sources of bioactive compounds that contribute to nutrition, health maintenance, and disease prevention. In this study, the chemical composition and antioxidant potential of essential oils obtained from Lavandula angustifolia “Sevtopolis” and Lavandula × intermedia cultivated in the Silivri region of Istanbul were ...
Bilge Bicak, Beray Kizilkaya, Serda Kecel Gunduz, Aliye Demet Demirag, Sabriye Percin Ozkorucuklu   +4 more
wiley   +1 more source

Qubit fidelity distribution under stochastic Schrödinger equations driven by classical noise

Physical Review Research
Environmental noise affecting controlled quantum systems is typically described by a dissipative Lindblad equation, which captures the system's average state through the density matrix ρ.
R. J. P. T. de Keijzer, L. Y. Visser, O. Tse, S. J. J. M. F. Kokkelmans   +3 more
doaj   +1 more source

Quantum Phenomena in Molecular and Biological Systems: A Decoherence‐Based Decision Framework With Falsifiable Predictions and a Failure‐Mode Taxonomy

Advanced Physics Research, EarlyView.
A physics‐grounded framework based on decoherence timescales (τ_dec vs τ_func), Markovian validity, and falsifiability criteria is applied across molecular systems to distinguish where quantum effects are necessary, marginal, or irrelevant. The analysis integrates quantum chemistry, biological quantum mechanisms, and quantum computing under a unified ...
Sarfaraz K. Niazi
wiley   +1 more source

Affinity Peptides With pH Sensitivity for the Enrichment of CD38+ Cells

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The selective enrichment of cell populations based on surface markers is critical for the advancement of gene and cell therapies. Current antibody‐based cell isolation methods, such as fluorescence‐ and magnetic‐activated cell sorting (FACS and MACS), offer high specificity but are limited by scalability, cost, and potential adverse effects on
Gabrielle Rusch, Mickael Meyer, I. Mohamed Irfan, Carson Huber, Joseph Burclaff, Scott T. Magness, Stefano Menegatti, Michael Daniele   +7 more
wiley   +1 more source

Parabolic Schrödinger networks

Heliyon
A Schrödinger network Nq={X,ζ,q} is an infinite graph with a set of vertices X and edges that are countably infinite, a transition function ζ(a,b)≥0 and a function q(a) on X. A perturbed Laplace operator Δq is defined as Δql(a)=Δl(a)−q(a)l(a). A solution
Amulya Smyrna C., N. Nathiya
doaj   +1 more source