Results 141 to 150 of about 12,670 (246)

Surface Energy Modulated Self‐Assembly of Percolative Gallium Nanodroplet Films for Stretchable Electronics

open access: yesAdvanced Electronic Materials, EarlyView.
Surface‐energy guided self‐assembly of liquid metals enables the transformation of liquid metal micro/nanodroplets into continuous perocolative films on elastomeric substrates. By tailoring interfacial energetics and wetting behavior, uniform, conductive, and stretchable films are achieved, offering scalable pathways for high‐performance soft ...
Alwar Samy Ramasamy   +7 more
wiley   +1 more source

Robustness of Half‐Metallicity and Spin‐Dependent Transport in Defective Co2HfSn and Co2ZrSn Heusler Alloys

open access: yesAdvanced Electronic Materials, EarlyView.
Point defects strongly influence the spin‐dependent electronic and transport properties of Co2HfSn and Co2ZrSn Heusler alloys. First‐principles calculations reveal that Co vacancies preserve half‐metallicity, while anti‐site and swap defects introduce minority‐spin states that reduce spin selectivity.
Alessandro Difalco   +5 more
wiley   +1 more source

A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration

open access: yesAdvanced Electronic Materials, EarlyView.
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti   +6 more
wiley   +1 more source

Effects of Doping, Disorder, and Compensation on Electron Conduction in Si‐Doped k‐Ga2O3 Close to the Metal‐to‐Insulator Transition

open access: yesAdvanced Electronic Materials, EarlyView.
Self‐compensation effects attributed to doping‐dependent shift‐defects at APBs Validation of Hall data for VRH transport near the MIT Persistence of VRH transport for any SiH4 flow in Si‐doped κ‐Ga2O3 due to high compensation coupling transport and EPR data as strategy to study electronic properties and doping T‐dependence of transport data agrees with
Antonella Parisini   +9 more
wiley   +1 more source

Atomic Scale Control of Thermal Conductivity in LaMnO3/SrMnO3 Superlattices

open access: yesAdvanced Electronic Materials, EarlyView.
Interface‐dominated cross‐plane thermal transport in [(LaMnO3)m/(SrMnO3)n]10 superlattices can be controlled by the octahedral rotation/tilt angle φOOR of the MnO6 octahedra, which as well is controlled by the “m/n” ratio. ABSTRACT We report atomic scale structure and phonon thermal transport in (LaMnO3)m/(SrMnO3)n/SrTiO3(100) superlattices (LMO/SMO ...
H. Ulrichs   +12 more
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Streamlined V3.5+ Electrolyte Production by Leveraging Chemical and Catalytic Reductions

open access: yesAdvanced Energy Materials, EarlyView.
A tuned catalytic process for V3.5+ electrolyte production is shown to streamline the conventional chemical‐to‐catalytic sequence by extending catalysis into the rate‐determining reduction regime. This study shows that initiating catalysis in this regime shortens the overall production time by 67% based on rigorous thermodynamic and kinetic analysis of
Kyunghwa Seok   +2 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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