Results 111 to 120 of about 41,126 (268)

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

open access: yesAdvanced 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   +7 more
wiley   +1 more source

Miniaturization of Ac-Dc power converters for grid interface.

open access: yes, 2018
In this thesis we present a two-stage ac/dc grid-connected converter for computer applications. Also known as off-line power supplies, these converters have to meet various demanding specifications such as a wide input voltage range (typically 0-376 V), large voltage step down (typical output voltages range from 12-48 V), harmonic current limits and ...
openaire   +1 more source

Universal Oxychlorination Strategy in Halide Solid Electrolytes for All‐Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
A WO2Cl2‐driven oxychlorination strategy enables bulk oxygen incorporation into close‐packed LixMCl6 (M = Zr, Y, Er, In) halide lattices. Oxygen is selectively anchored by W6+ as lattice‐integrated [WO2Cl4]2− units, regulating the anionic framework, diversifying Li coordination, and weakening Li–Cl interactions.
Jae‐Seung Kim   +13 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

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

Enhanced Performance of Optoelectronic Devices Using Metal Chalcogenide Complex Ligands‐Capped InAs/ZnSe Quantum Dots as Electron Transport Layers

open access: yesAdvanced Energy Materials, EarlyView.
Thin‐shell InAs/ZnSe quantum dots functionalized with metal chalcogenide ligands were employed as electron transport layers in organic optoelectronic devices, yielding optimized conduction band alignment and film morphology. Consequently, the devices achieved enhanced charge transport, a detectivity of ∼1013 Jones, and a power conversion efficiency of ...
Yonghoon Choi   +8 more
wiley   +1 more source

Donor–Acceptor Covalent Organic Framework Enables Ambipolar Charge Storage in Aluminum‐Ion Energy Storage

open access: yesAdvanced Energy Materials, EarlyView.
A donor–acceptor covalent organic framework is designed as an ambipolar cathode for aluminum‐ion energy storage. The crystalline, microporous architecture enables intrinsic charge transport without conductive additives. Multi‐electron redox activity at donor and acceptor sites supports high capacity, excellent stability, and efficient reversible ...
Cataldo Valentini   +11 more
wiley   +1 more source

Modulation of Local Environment for Selective Bicarbonate Conversion to Multi‐Carbon Products

open access: yesAdvanced Energy Materials, EarlyView.
Highly porous Cu electrode partially coated with an ionomer/carbon composite enables efficient conversion of bicarbonate to multi‐carbon products. By regulating the local reaction microenvironment, this strategy overcomes selectivity and reaction‐rate limitations, achieving Faradaic efficiencies of 43% for ethylene and 60% for total multi‐carbon ...
Tai Nguyen   +15 more
wiley   +1 more source

Enhancing grid stability using dynamic reserve power point tracking techniques. [PDF]

open access: yesPLoS One
Kumar S   +4 more
europepmc   +1 more source

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