Results 241 to 250 of about 2,019,981 (302)

Beyond Bio-Inspired Algorithms: Using Bird Landing Dynamics to Design Adaptive Parameter Control in Metaheuristics. [PDF]

Biomimetics (Basel)
Pérez A, Crawford B, Rodriguez-Tello E, Mendoza J, Astorga G, Soto R.   +5 more
europepmc   +1 more source

When are Two‐Dimensional Covalent Organic Frameworks Good Electrodes for Lithium Ion Batteries? A Data‐Driven Analysis

Advanced Science, EarlyView.
A data‐driven framework integrating density‐functional theory with machine learning models screens two‐dimensional covalent organic frameworks (2D COFs) from CoRE COF database to reveal atomic‐level design rules: N/O‐rich coordination pockets drive cathode behavior, while separated redox sites and π‐rich galleries enable anode function in Li‐ion ...
Preeti Bhauriyal, Shubhajit Das, Thomas Heine   +2 more
wiley   +1 more source

Scalable HMO-CNN-SVM Framework for Skin Lesion Classification: A Metaheuristic-Driven Approach With Parallelizable Optimization for Cluster Deployment. [PDF]

Biomed Eng Comput Biol
Fendzi Mbasso W, Harrison A, Mamadiyarov Z, Liu Z, Kumar R, Shaikh MS, Metwally Mahmoud M.   +6 more
europepmc   +1 more source

Atomic‐Scale Mechanisms of Anisotropic Thermal Decomposition in GeSn Alloys With Stepwise Pinning

Advanced Electronic Materials, EarlyView.
Combining in situ TEM with DFT calculations, this work elucidates atomic‐scale anisotropic thermal decomposition in GeSn films, identifying laminar receding in defect‐free regions and stepwise pinning at stacking faults. Driven by crystallographic anisotropy and defect‐mediated energetic penalties, these findings establish a physical framework for ...
YiXin Wang, Qi Liu, XiYan Chang, Chi Xu, Tao Wang, XinZheng Li, ChunLai Xue   +6 more
wiley   +1 more source

Simulation-informed kernel-based regression models for predicting temperature distribution in microwave hyperthermia. [PDF]

Sci Rep
Alazwari MA, Abu-Hamdeh NH, Almitani KH.
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Proximal Policy Optimization-guided novelty-aware multi-strategy particle swarm optimization for adaptive traffic signal optimization. [PDF]

Front Artif Intell
R M, J AP.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Optimized stacked ensemble approach for detecting position falsification in VANETs. [PDF]

Sci Rep
Saranya K, Ramakrishnan S.
europepmc   +1 more source