Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
Beyond Radical Emitters: Hot‐Exciton Electroluminescence From Singlet Diradicaloids
The first hot‐exciton mechanism in a singlet diradicaloid is demonstrated in a polychlorinated Thiele hydrocarbon‐based organic light‐emitting transistor. Reverse intersystem crossing involving the T2 and bright singly excited states enables electroluminescence beyond the 25% spin‐statistical limit, leading to remarkable external quantum efficiency ...
Mario Prosa +12 more
wiley +2 more sources
A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung +10 more
wiley +1 more source
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu +2 more
wiley +1 more source
Excess Burden of Inpatient Admissions and Emergency Department Visits Associated With Diabetes Across the Age Spectrum. [PDF]
Patel R +6 more
europepmc +1 more source
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad +5 more
wiley +1 more source
Regional fidelity vs dispersal of capelin (Mallotus villosus) in the Gulf of St. Lawrence, inferred from otolith chemistry. [PDF]
Jac R +7 more
europepmc +1 more source
The soil properties of dust source of south-eastern Ahvaz, Iran
The main goal of this study was to explore the physio-chemical soil characteristics in the dust hotspot of south-eastern Ahvaz in the Iranian province Khuzestan. The knowledge about physical and chemical characteristics of soils at the landscape scale is
Azadeh Gohardoust +3 more
core +1 more source
Development of an open-access food atlas with nutrient composition and recipes in Argentina: The Smart24Food Atlas. [PDF]
Contreras-Guillén IA +6 more
europepmc +1 more source
Recent advances in the application of nanoparticles: focus on enhanced oil recovery
In the current context, the growing interest of the scientific community in the application of nanoparticles focused on enhanced oil recovery highlights the need to explore and analyze innovative alternatives that overcome the limitations of conventional
Bernuy, Luis Fernando Junior Saldaña [UNESP] +3 more
core +1 more source

