Results 221 to 230 of about 3,241,374 (281)

Fixed-point topology meets fractal memory: a Kutumba-stabilized framework for nonlocal fractal-fractional dynamics. [PDF]

Sci Rep
Devi RA, Surendar R, Sweatha S, Saeed ST, Almehizia AA, Saleh MA, Merga FE.   +6 more
europepmc   +1 more source

Stretchable Energy Storage with Eutectic Gallium Indium Alloy

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A highly stretchable liquid metal‐based electrode is developed via a one‐step process, retaining conductivity and capacitance after mechanical deformation up to 900% strain. The stretchable all‐solid‐state device provides a areal energy density of 43 µWh cm⁻2 after 150% strain.
Adit Gupta, Noah Al‐Shamery, Jian Lv, Gurunathan Thangavel, Jinwoo Park, Daniel Mandler, Pooi See Lee   +6 more
wiley   +1 more source

Optimal Chemotherapy Scheduling for Chronic Lymphocytic Leukemia Under Immune and Allergy Constraints. [PDF]

Entropy (Basel)
Abdullah R, Halanay A, Abou Orm L.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Analytically grounded full-wave methods for advances in computational electromagnetics. [PDF]

Philos Trans A Math Phys Eng Sci
Lucido M, Kobayashi K, Nosich AI, Pérez Arancibia C, Vukovic A.   +4 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Predefined-Time Sliding Mode Control of Robotic Manipulators via Artificial Delay Feedback and Reinforcement Learning. [PDF]

Sensors (Basel)
Zhang L, Wang J, Wang J, Lu J, Li P.
europepmc   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

Soliton dynamics and stability of equilibrium points of the Manakov equation. [PDF]

Sci Rep
Rahaman MS, Islam MN, Ullah MS.
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source