Results 111 to 120 of about 2,404,536 (228)

Enhanced Spin‐Reorientation Transition and Polarization in DyFeO3 Thin Films

Advanced Electronic Materials, EarlyView.
Epitaxial strain in antiferromagnetic orthoferrite thin films enhances known bulk properties into a parameter range that makes them more accessible for potential applications. We show that bulk polar properties move from 4 K towards room temperature and the magnetic field‐induced AFM to FM spin‐flip in the paramagnetic Dy lattice when applying small ...
Banani Biswas, Bixin Yan, Morgan Trassin, Dirk Fuchs, Ekatarina V. Pomjakushina, Manfred Fiebig, Thomas Lippert, Christof W. Schneider   +7 more
wiley   +1 more source

Network-specific corpus callosum aging and age-moderated cognitive associations using tract-to-region analysis. [PDF]

Commun Biol
Aarabi MH.
europepmc   +1 more source

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

Advanced 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, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

DIFFERENTIAL EQUATIONS INVOLVING CUBIC THETA FUNCTIONS AND EISENSTEIN SERIES

DIFFERENTIAL EQUATIONS INVOLVING CUBIC THETA FUNCTIONS AND EISENSTEIN SERIES
In this paper, we derive systems of ordinary differential equations (ODEs) satisfied by modular forms of level three, which are level three versions of Ramanujan's system of ODEs satisfied by the classical Eisenstein series. This work was supported by JSPS KAKENHI Grant Number JP17K14213.
openaire   +3 more sources

Intensity-dependent tACS entrainment effects in a cortical microcircuit: a computational study. [PDF]

Sci Rep
Park K, Chung H, Seo H, Jun SC.
europepmc   +1 more source

Multiscale Perspectives on Perovskite Instability: From Atomistic Deformation to Device Degradation in Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee, Donghyeon Lee, Seoyoon Lee, Jin‐Wook Lee, Mansoo Choi, Min‐cheol Kim, Namyoung Ahn   +6 more
wiley   +1 more source

The AGM of Gauss, Ramanujan's corresponding theory, and spectral bounds of self-adjoint operators. [PDF]

Mon Hefte Math
Faulhuber M, Gumber A, Shafkulovska I.
europepmc   +1 more source

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

Advanced 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, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Self-adaptive search algorithm for path planning based on the A* algorithm. [PDF]

Sci Rep
Lin S, Fan X, Xie Z, Wu Y, Yang H.
europepmc   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source