Results 161 to 170 of about 7,303 (247)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Quantifying Evolving Defect Parameters in Metal Halide Perovskites via the Measurement and Modeling of Power‐Dependent Transient Photoluminescence

open access: yesAdvanced Energy Materials, EarlyView.
ABSTRACT Dynamic photoinduced defect states in metal halide perovskites (MHPs) critically govern the non‐equilibrium photophysics, metastability, and long‐term performance of optoelectronic devices, such as solar cells. This metastability is evident in steady‐state photoluminescence experiments, where the amplitudes increase or decrease depending on ...
Maxim Simmonds   +6 more
wiley   +1 more source

Chemically Passivated Polymeric Charge Recombination Layer for Efficient Tandem Organic Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
A chemically passivated polymeric charge recombination layer is developed for high‐performance tandem organic solar cells. Spontaneous in situ protonation of amine‐rich polyelectrolytes on PEDOT:PSS induces ionic self‐assembly, forming a robust dipole layer.
Kyungsik Kim   +10 more
wiley   +1 more source

Artificial Intelligence Based Clustering Algorithm for Pulse Diagnosis. [PDF]

open access: yesJ Multidiscip Healthc
Kim J   +7 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

Stabilizing Magnesium Anodes in Rechargeable Magnesium Batteries via Fluorinated Cyclic Ether Electrolyte Additive

open access: yesAdvanced Energy Materials, EarlyView.
A fluorinated cyclic ether, FDOL, is shown to stabilize Mg metal anodes by tuning Mg2+ solvation of the G2 electrolyte. The G2‐FDOL electrolyte suppresses passivation and thick, diffusion‐blocking Mg deposits, enabling more uniform Mg plating/stripping and sustained interfacial reactions.
Hafiz Ahmad Ishfaq   +9 more
wiley   +1 more source

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