Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment
Advanced Materials Interfaces, EarlyView.Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
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Time-Reversible Implementation of MASH for Efficient Nonadiabatic Molecular Dynamics. [PDF]
J Chem Theory ComputGeuther JA, Asnaashari K, Richardson JO.
europepmc +1 more source
Neutron Reflectometry and Compression of Graded Hydrogel Surfaces
Advanced Materials Interfaces, EarlyView.Highly‐entangled and covalently‐crosslinked hydrogels with thin and thick surface gel layers are compressed in neutron reflectometry experiments. Surface gel layer thickness dictates the extent to which the polymer network at the surface of a hydrogel collapses, while crosslinking chemistry, and therefore elastic modulus, impacts the pressure at which ...
Kathryn E. Shaffer +12 more
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Fractional-Order Identification of Gyroscope MEMS Noise Under Helium Exposure. [PDF]
Sensors (Basel)Sierociuk D, Macias M, Markowski KA.
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A Hybrid Computational Framework for PCF‐based SPR Sensor With Machine Learning and xAI
Advanced Materials Interfaces, EarlyView.A photonic crystal fiber‐based surface plasmon resonance (SPR) sensor integrating rectangular air holes along with conventional circular air holes achieves exceptional wavelength sensitivity of 15,000 nm/RIU across a broad refractive index range of 1.31–1.39. Integrated machine learning with explainable AI (xAI) models achieves high prediction accuracy
Mahabur Rahman Fahim +3 more
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Robust fractional-order adaptive cascaded strategy for mitigating load frequency deviations in renewable thermal hybrid systems. [PDF]
Sci RepHalim YMA +5 more
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Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
Advanced Materials Technologies, EarlyView.An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
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Central autonomic network dysfunction in Stroke-Heart Syndrome: mechanistic roles of the insula and limbic system. [PDF]
Front NeurosciLi H, Guo W, Nie Q, Wang Z, Li H.
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Advanced Materials Technologies, EarlyView.This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
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Nonadiabatic Field: A Conceptually Novel Approach for Nonadiabatic Quantum Molecular Dynamics. [PDF]
J Chem Theory ComputWu B, Li B, He X, Cheng X, Ren J, Liu J.
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