Results 161 to 170 of about 24,485,241 (338)

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi, Ji‐Youn Bae, Ga‐On Park, Seung‐Ho Yu   +3 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE 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, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

CFD modeling and sensitivity‐guided design of silicon filament CVD reactors

AIChE Journal, EarlyView.
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis, G. Loachamín‐Suntaxi, I. G. Aviziotis, E. D. Koronaki, P. P. Filippatos, G. Chatzigiannakis, S. P. A. Bordas, D. Davazoglou, A. G. Boudouvis   +8 more
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Probing Steady‐State Carrier Properties and Charge Transport in Covalent Organic Framework by Frequency‐Domain Terahertz Spectroscopy

Angewandte Chemie, EarlyView.
This work reports a combined frequency‐domain and time‐domain terahertz (THz) spectroscopic approach to elucidate intrinsic carrier properties and transport mechanisms in framework materials over the extended 0.5–20 THz region. Subtle structural and chemical variations are shown to strongly influence THz charge‐transport behavior across the far ...
Satyapriya Nath, Saiprakash Rout, Mahalaxmi Samal, Snehal Haldankar, Md Habib Ahsan, Anol Mondal, Sudeep Tiwari, Adithyan Puthukkudi, Avani KV, Ashis K. Nandy, Shriganesh S. Prabhu, Himansu S. Biswal, Xinliang Feng, Bishnu P. Biswal   +13 more
wiley   +2 more sources

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

A Novel Milli‐Scale Magnetic Robot Exploiting Rotation for Controlled Magnetic Particles Release

Advanced Intelligent Systems, EarlyView.
Delivering magnetic particles can become a game changer in minimally invasive medicine. To cope with this challenge, a magnetically actuated milli‐scale carrier leveraging rotation to perform on‐demand tunable release of magnetic particles across multiple release events is presented.
Giordano De Angelis, Tamerlan Srymbetov, Arianna Menciassi, Veronica Iacovacci   +3 more
wiley   +1 more source

A phenomenological pulsar model

The Astrophysical Journal, 1978
Particle injection energies and rates previously calculated for the stellar wind generation by rotating magnetized neutron stars are adopted. It is assumed that the ambient space-charge density being emitted to form this wind is bunched. These considerations immediately place the coherent radio frequency luminosity from such bunches near 10 to the 28th
openaire   +1 more source

“Will you be there for me?” Social support from family and friends during cold case sexual assault prosecutions

American Journal of Community Psychology, EarlyView.
Abstract If sexual assault survivors report the assault to the criminal legal system, they often need informal support from family and friends throughout the long and frequently retraumatizing process of investigation and prosecution. This study is part of a long‐term community‐based participatory action research project in a predominately Black ...
Rebecca Campbell, Rachael Goodman‐Williams, Katie Gregory, McKenzie Javorka, Jasmine Engleton   +4 more
wiley   +1 more source

Phenomenological models for the isothermal physical aging of PEEK. [PDF]

Heliyon, 2018
Hermida ÉB, Arenas CD.
europepmc   +1 more source