Results 181 to 190 of about 11,198,121 (288)

Milling Surface Roughness Prediction Based on Physics-Informed Machine Learning. [PDF]

Sensors (Basel), 2023
Zeng S, Pi D.
europepmc   +1 more source

Coordination Bridges in Confined‐Water Domains Enable Partially Desolvated Zn2+ Transport in Aqueous Zinc‐Ion Batteries

Advanced Materials, EarlyView.
A multifunctional polymer layer with amide and imidazolium groups simultaneously suppresses dendrite growth and hydrogen evolution in Zn‐ion batteries. By providing Zn2+ binding sites and forming a confined‐water domain that acts as a coordination bridge, it boosts single‐ion conductivity and stability, enabling 4000 stable cycles in Zn‐I2 full cells ...
Jin Seong Cha, Dongmin Jeon, Kyungmi Kim, Yuna Hwang, Eun Jeong Yoon, Donghee Gueon, Young‐Woo Choi, Chan‐Woo Lee, Jung Hoon Yang   +8 more
wiley   +1 more source

Physics-informed machine learning for cross-study prediction of oil-water membrane fouling. [PDF]

Sci Rep
Alves CL, Weschenfelder SE, Cechinel MAP, Proner MC, de Fátima R, Moreira PM, Ambrosi A, Di Luccio M, González SYG.   +8 more
europepmc   +1 more source

Blending With Insulating Polymers Enables Stable Anti‐Ambipolar Characteristics in n‐Type Organic Mixed‐Conductors for Heterogeneous Spiking Neurons

Advanced Materials, EarlyView.
A polymer blend of n‐type OMIEC P(gNDI‐gT2) with insulating PMMA yields mechanically stabilized, anti‐ambipolar organic electrochemical transistors (OECTs) with tunable ionic‐electronic transport. This blending allows low‐power, fast‐spiking heterogeneous Hodgkin–Huxley neurons, enabling biomimetic frequency deconvolution and reservoir computing, which
Zachary Laswick, Ariel Lifer, Catherine Beaumont, Liad Hayoun, Priscila Cavassin, Zeinab Hamid, Dilara Meli, William Dupont, Lincoln J. Lauhon, Iain McCulloch, Gitti L. Frey, Giovanni Maria Matrone, Jonathan Rivnay   +12 more
wiley   +1 more source

Physics-Informed Machine Learning for Carbonation Depth Prediction in Concrete. [PDF]

Materials (Basel)
Abbas MM, Bărbulescu A.
europepmc   +1 more source

Global long term daily 1 km surface soil moisture dataset with physics informed machine learning. [PDF]

Sci Data, 2023
Han Q, Zeng Y, Zhang L, Wang C, Prikaziuk E, Niu Z, Su B.   +6 more
europepmc   +1 more source

Determining Composition–Structure–Property Relationships in Quaternary Perovskitoids Through Megalibraries

Advanced Materials, EarlyView.
A method to synthesize 1 million compositionally distinct Cs3Bi2‐𝛼Sb𝛼Br9−xIx across a quaternary compositional space on a single glass substrate is presented. High‐throughput characterization is then used to map the interplay of composition, structure, and bandgap.
Olivier J. G. L. Chevalier, Sachin P. Kulkarni, Jarod Beights, Yichen Li, Sergej Kudruk, Allen X. Guo, Jun Li, Koray Aydin, Chris Wolverton, Chad A. Mirkin   +9 more
wiley   +1 more source

Physics-Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel. [PDF]

Adv Sci (Weinh)
Wei X, Li Y, Wang C, Wang L, Song X, Mao K, Zhang Y, Xu W.   +7 more
europepmc   +1 more source

Understanding Operando Water Management in Hydroxide‐Exchange‐Membrane Fuel Cells

Advanced Materials Interfaces, EarlyView.
Effective water management is vital for high‐performance hydroxide‐exchange‐membrane fuel cells. Using a custom water‐flux station, this study quantifies how membrane thickness, microporous layers, and operating conditions dictate internal water transport.
Catherine M. Weiss, Shiyi Wang, Brian P. Setzler, Yushan Yan, Adam Z. Weber   +4 more
wiley   +1 more source

Heterophily-informed Message Passing

Publisher Copyright: © 2025, Transactions on Machine Learning Research. All rights reserved.Graph neural networks (GNNs) are known to be vulnerable to oversmoothing due to their implicit homophily assumption.
Solin, Arno, Garg, Vikas, Wang, Haishan
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