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Large-scale photonic inverse design: computational challenges and breakthroughs
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Kang Chanik et al · Wiley · 2024 · ISSN 2192-8614
Recent advancements in inverse design approaches, exemplified by their large-scale optimization of all geometrical degrees of freedom, have provided a significant paradigm shift in photonic design. However, these innovat...
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Spectral Methods for Determining the Stability and Noise Performance of Passively Modelocked Lasers
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Menyuk Curtis R. et al · Wiley · 2016 · ISSN 2192-8606
We describe spectral or dynamical methods that can be used to determine the stability and noise performance of modelocked lasers.We first review methods that have been used to date to theoretically and computationally st...
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Análise computacional da compactação da cromatina de espermatozoides de galo Computational analysis of chromatin condensation of rooster spermatozoa
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A.C.N. Rodrigues et al · Universidade Federal de Minas Gerais, Escola de Veterinária · 2009 · ISSN 0102-0935
Testaram-se variantes metodológicas utilizando azul de toluidina (AT), até se estabelecer um protocolo confiável para a avaliação computacional da compactação da cromatina em espermatozoides de galo. Para tal, for...
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Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
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Tianyu Hu et al · Wiley · 2026 · ISSN 2468-2322
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, co...
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Comparison of FDTD and TDWP Methods for Simulating Electromagnetic Wave Propagation above Terrains
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Mahmoud Fallah et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo · ISSN 2179-1074
Abstract Researchers have always been in face of path loss calculation in different media for applications such as telecommunication link design. Wave propagation calculations in large spaces using the FDTD method is tim...
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Experimental and Computational Analysis of the Unstable Flow Structure in a Centrifugal Compressor with a Vaneless Diffuser
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Xiang Xue et al · KeAi Communications Co., Ltd · 2019 · ISSN 1000-9345
Abstract The unstable flow phenomena in compressors, such as stall and surge, are closely related to the efficiency and the operating region. It is indispensable to capture the unstable flow structure in compressors and ...
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Heterogeneous Biological Responses to Low-Level Sodium Saccharin Exposure: An Integrated Computational Toxicology and Mendelian Randomization Study
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Zhao Xin et al · SAGE Publishing · 2026 · ISSN 1559-3258
Background The long-term biological effects of low-level exposure to artificial sweeteners remain debated. We integrated computational toxicology and Mendelian randomization (MR) to explore potential biological responses...
LCC LCC:Therapeutics. PharmacologyIdioma Inglés
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MechFind: a computational framework for de novo prediction of enzyme mechanisms
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Austin D. Hartley et al · Nature Portfolio · 2026 · ISSN 2041-1723
Abstract Fewer than one thousand cataloged mechanistic annotations can be found in the open literature and databases. Here, we introduce MechFind, a computational tool that generates element and charge-balanced putative ...
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Performance of affine-splitting pseudo-spectral methods for fractional complex Ginzburg-Landau equations
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Raviola, Lisandro et al · Elsevier Science Inc · 2024 · ISSN 0096-3003
We evaluate the performance of novel numerical methods for solving one-dimensional nonlinear fractional dispersive and dissipative evolution equations. The methods are based on affine combinations of time-splitting integ...
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Synthesis, characterization, computational and biological investigation of Co(II), Ni(II) and Cu(II) complexes with 2-hydroxy-1-naphthaldehyde derived Schiff base ligand
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Ved Prakash Arya et al · Springer · 2026 · ISSN 3005-1193
Abstract A Schiff base ligand L 1 was synthesized via the condensation reaction between from 2-hydroxy-1-naphthaldehyde and 4-methoxyaniline. This Schiff base was employed for the preparation of metal complexes of type [...
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Generation and Evolution of Cavitation Bubbles in Volume Alternate Cavitation (VAC)
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Shangshuang Chen et al · KeAi Communications Co., Ltd · 2023 · ISSN 2192-8258
Abstract Cavitation generation methods have been used in multifarious directions because of their diversity, and numerous studies and discussions have been conducted on cavitation generation methods. This study aims to e...
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Lower complexity bounds for interpolation algorithms
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Gimenez, Nardo Ariel et al · Academic Press Inc Elsevier Science · 2011 · ISSN 0885-064X
We introduce and discuss a new computational model for the HermiteLagrange interpolation with nonlinear classes of polynomial interpolants. We distinguish between an interpolation problem and an algorithm that solves it....
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Mke-resnet: a lightweight and interpretable deep learning framework for efficient RNA m6A site identification
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Xiao Gao et al · BMC · 2026 · ISSN 1471-2105
Abstract Background N6-methyladenosine ( $$m^{6}A$$ ) plays a crucial role in enriching RNA functional and genetic information. While deep learning has advanced $$m^{6}A$$ site identification, current state-of-the-art me...
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Nemesis: A multi-scale, multi-physics algorithm for astrophysics
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Hochart E. et al · EDP Sciences · 2026 · ISSN 0004-6361
Context. Astronomical environments are governed by a complex interplay of physical processes, including gravitational dynamics, radiative transfer, stellar evolution, chemistry, and hydrodynamics. These processes span a ...
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Possibility of cooling the rotor of an electric traction motor by bidirectional air flows
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S. Shlyk et al · National Technical University "Kharkiv Polytechnic Institute" · 2026 · ISSN 2074-272X
Introduction. The performance reliability of electric vehicles (EVs) is an important factor in evaluating their suitability for widespread adoption. The reliability and lifespan of an EV depend on several critical factor...
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RSDM: A Powerful Direct Method to Predict the Asymptotic Cyclic Behavior of Elastoplastic Structures
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Konstantinos V. Spiliopoulos et al · KeAi Communications Co., Ltd · 2021 · ISSN 1000-9345
Abstract Mechanical engineering structures and structural components are often subjected to cyclic thermomechanical loading which stresses their material beyond its elastic limits well inside the inelastic regime. Depend...
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Transfer learning enhanced deep neural network surrogate model for rapid multiphysics simulation of alkaline water electrolyzers
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Jingwen Yan et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Alkaline water electrolysis represents a promising pathway for green hydrogen production, yet comprehensive multi-physics simulation remains computationally prohibitive for practical design optimization. This st...
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A Foothold Selection Framework for Hexapod Robots Integrating Multi-Constraint Pruning and Adaptive Evaluation
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Xianyong Dai et al · IEEE · 2026 · ISSN 2169-3536
Foothold selection for hexapod robots in complex terrain presents a significant challenge, demanding both high computational efficiency and robust adaptability. To address this issue, this paper introduces a foothold sel...
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A new good point set stepwise shrinkage optimization in machine learning model for fog node performance prediction
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Zhang Bo et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Advances in AI have transformed the traditional Internet of Things (IoT) into smarter, more versatile next-generation devices. Enhanced connectivity among sensors, actuators, and appliances boosts data availabil...
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Advancements in soft robotics: materials, actuation, modeling, and applications
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Omid Sadeghpoor et al · IOP Publishing · 2026 · ISSN 2053-1591
Soft robotics is a rapidly evolving field that leverages compliant and deformable materials to create robotic systems capable of safe human interaction, environmental adaptability, and bio-inspired motion. Unlike rigid r...
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Application of Reinforcement Learning Techniques in De Novo Drug Design: A Systematic Literature Review
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Masuda Begum Sampa et al · Wiley · 2026 · ISSN 2398-8835
ABSTRACT Background and Aims De novo drug design is the process of generating novel lead compounds that possess desirable pharmacological activities and optimal physicochemical properties for therapeutic development. In ...
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Application of an Integral-PID-Like-SMC (IPS) for Cruise Control
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Mohammed Ahmed et al · Engiscience Publisher · 2026 · ISSN 3007-2875
This study presents the application of an enhanced Proportional–Integral–Derivative (PID)-like Sliding Mode Controller (SMC), referred to as the Integral PID-like Sliding Mode (IPS) controller, for cruise control sys...
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Continuation-Enhanced Harmonic Balance Method for Nonlinear Dynamics in Rotating Machinery
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Muhammad Umar et al · Wiley · 2026 · ISSN 1875-9203
Nonlinear response conception in rotating machinery, particularly in systems with squeeze film dampers (SFDs), pose significant challenges for established time-domain numerical methods due to bifurcations and critical po...
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Decoding antisemitism online: linguistic and multimodal challenges in the age of AI
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Matthias J. Becker et al · Frontiers Media S.A · 2026 · ISSN 2297-900X
IntroductionThis article investigates the linguistic and computational challenges of detecting antisemitism in digital communication, integrating discourse-analytical and artificial intelligence (AI) perspectives. It con...
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