Results 111 to 120 of about 186,953 (245)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Atomic Precision CoCu Heterodimers with Pseudo‐D3h Symmetry Enable Tandem Nitrate Reduction

Advanced Science, EarlyView.
The Co─Cu heterodimer anchored on nitrogen‐doped graphene oxide substrate facilitates electrochemical nitrate reduction in alkaline medium. Co site promotes water dissociation to supply a proton, while Cu sites enhance nitrate adsorption and activation.
Akash Prabhu Sundar Rajan, Jayaraman Theerthagiri, Piyapa Junmon, Wanwisa Limphirat, Nuttapon Yodsin, Myong Yong Choi   +5 more
wiley   +1 more source

Tuning Desolvation Kinetics with Perovskite‐Type Ion‐Conductive Modulators toward Low‐Temperature Zn Metal Batteries

Advanced Science, EarlyView.
A strategy of constructing perovskite‐type ion‐conductive interphase modulation layer is proposed to break down ion‐dipole interactions of [Zn(H2O)x]2+ to promote Zn2+ desolvation and diffusion kinetics against dendrite growth and active water‐induced hydrogen evolution reactions.
Wenbin Wang, Xiaomin Cheng, Jing Zhang, Shuang Cheng, Zhenjiang Cao, Caiyin You, Yongzheng Zhang, Hao Li, Bixian Chen, Qinghua Guan, Yixiang Shi, Huihua Li, Qingbo Xiao, Hongzhen Lin, Jian Wang   +14 more
wiley   +1 more source

Error analysis of H1 gradient method for topology optimization problems of continua

Error analysis of H1 gradient method for topology optimization problems of continua
The present paper describes the result of the error estimation of a numerical solution to topology optimization problems of domains in which boundary value problems are defined. In the previous paper, we formulated a problem by using density as a design variable, presented a regular solution, and called it the H1 gradient method.
openaire  

A Guideline to Evaluate Sorbent Performance for Atmospheric Water Harvesting

Advanced Energy and Sustainability Research, EarlyView.
Reporting guidelines for atmospheric water harvesting sorbents allow benchmarking between research groups across seven key performance indicators (KPIs). Beyond simple equilibrium values (such as capacity or maximum water uptake), these KPIs validate sensitivity, reversibility, regeneration conditions, chemical stability, kinetics, and water quality ...
Simon Ponton, David Brassard, Andrés Felipe Sánchez Rendón, Seyedemad Alavitabari, Richard Boudreault, Emilie Bédard, Pierre‐Luc Girard‐Lauriault, Jason R. Tavares   +7 more
wiley   +1 more source

Cadmium and Zinc‐Doped p‐type Sb2Se3 Single Crystals and Solar Cells

Advanced Energy and Sustainability Research, EarlyView.
Cd and Zn were assessed as candidate p‐type dopants in Sb2Se3 single crystals in concentrations between 1016‐1020 cm−3. Both are effective in inducing p‐type conductivity, however Cd doped crystals exhibit lower resistivity across a wider range of dopant levels.
Thomas P. Shalvey, Theodore D. C. Hobson, Frank Herklotz, Reelika Kaupmees, Aeshah A. Almushawwah, Bradley G. Lewis, Christopher H. Don, Sean R. Kavanagh, David O. Scanlon, Vin Dhanak, Maarja Grossberg‐Kuusk, Eduard Lavrov, Ken Durose, Jonathan D. Major   +13 more
wiley   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Error analysis of the H1 gradient method for shape-optimization problems of continua

Error analysis of the H1 gradient method for shape-optimization problems of continua
We present an error estimation for the H1 gradient method, which provides numerical solutions to the shape-optimization problem of the domain in which a boundary value problem is defined. The main result is that if second-order elements are used for the solutions of the main and adjoint boundary value problems to evaluate the shape derivative, and the ...
openaire  

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source