Results 51 to 60 of about 21,643,247 (230)

Study of the Resistance of Lithium-Containing Ceramics to Helium Swelling

open access: yesCeramics
The paper presents the results of studies of the resistance of lithium ceramics to helium swelling during its accumulation in the structure of the near-surface layer, and the identification of the three types of lithium ceramics most resistant to ...
Artem L. Kozlovskiy   +3 more
doaj   +1 more source

Controlled Growth of Boron Nitride in Various Phases

open access: yesAdvanced Materials Interfaces, EarlyView.
Phase‐selective boron nitride growth is presented as a unified materials‐design problem across hexagonal, rhombohedral, cubic, and amorphous phases. By linking synthesis routes to thermodynamic stability, kinetic accessibility, surface diffusion, interfacial templating, and energetic activation, this review clarifies how bonding and stacking are ...
Pan Wu   +6 more
wiley   +1 more source

Recent Advances in Plasma‐Enhanced Atomic Layer Etching for Next‐Generation Nanofabrication

open access: yesAdvanced Materials Interfaces, EarlyView.
Continued semiconductor miniaturization demands atomic‐scale patterning and ultralow surface roughness beyond the capabilities of conventional reactive ion etching. This review highlights advances in isotropic and anisotropic plasma‐enhanced atomic layer etching since 2020, covering fundamental mechanisms, applications across major semiconductor ...
Shih‐Nan Hsiao
wiley   +1 more source

Comparative Study of Thermal Runaway Propagation and Material Barrier Effect of Lithium-Ion Batteries

open access: yesBatteries
Battery thermal runaway (TR) is usually accompanied by a large amount of heat release, as well as a jet of flame. This not only causes harm to the surrounding environment but even exacerbates thermal runaway propagation (TRP).
Yikai Mao   +4 more
doaj   +1 more source

Two-Dimensional GeP3 as a High Capacity Anode Material for Non-Lithium-Ion Batteries

open access: yes, 2019
Utilization of non-lithium-ion batteries in next-generation renewable energy storage is hindered by the lack of appropriate electrode materials with desired electrochemical performance. Motivated by low peeling-off energy (Jing et al. Nano Lett. 2017, 17­
Beibei Xiao (4335397)   +4 more
core   +1 more source

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli   +13 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

Variant GADL1 and response to lithium in bipolar I disorder.

open access: yes, 2014
Background Lithium has been a first-line choice for maintenance treatment of bipolar disorders to prevent relapse of mania and depression, but many patients do not have a response to lithium treatment.
TORTORELLA, Alfonso Antonio Vincenzo   +1 more
core   +1 more source

Differential efficacy of lithium and carbamazepine in the prophylaxis of bipolar disorder: Results of the MAP study [PDF]

open access: yes, 2000
In a randomized clinical trial with an observation period of 2.5 years, the differential efficacy of lithium versus carbamazepine was compared in 171 bipolar patients (DSM-IV).
Waldemar Greil   +3 more
core   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

open access: yesAdvanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou   +3 more
wiley   +1 more source

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