Results 171 to 180 of about 112,717 (277)

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

open access: yesAdvanced 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   +7 more
wiley   +1 more source

Redox Complexity in Sodium Manganese Hexacyanomanganate and Its Influence on Sodium‐Ion Storage Performance

open access: yesAdvanced Energy Materials, EarlyView.
The role of each Mn site in the Na3‐xMn[Mn(CN)6]·zH2O compounds’ redox activity was investigated using a combined experimental–computational approach, which shows that only the low‐spin Mn‐C site undergoes redox changes (Mn1+ to Mn4+), while high‐spin Mn‐N remains unchanged. The study confirms the presence of the Mn1+ intermediate and newly reveals its
Zhenying Li   +11 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Computational study of permeability in cardboard coating layers

open access: yesAIChE Journal, EarlyView.
Abstract We develop a virtual material structure model based on a combination of tessellations and Gaussian random fields for a coating layer of paperboard used for packaging and designed to facilitate printing on the surface. To fit the model to tomographic image data acquired using combined focused ion beam and scanning electron microscopy (FIB‐SEM),
Sandra Barman   +6 more
wiley   +1 more source

Comprehensive compensation of real-world degradations for robust single-pixel imaging. [PDF]

open access: yesLight Sci Appl
Liu Z   +7 more
europepmc   +1 more source

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

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