Results 51 to 60 of about 2,177 (171)

Unveiling the Uncharted Potential of 2D Materials in Li/Na–S Batteries: A Paradigm Shift From Graphene

Advanced Science, EarlyView.
This review explores emerging 2D materials beyond graphene, including graphdiyne, phosphorene, borophene, siloxene, MBene, antimonene, and germanene for Li/Na–S batteries. It analyzes their roles as sulfur hosts, metallic anode protectors, separators, and electrolyte fillers, emphasizing polysulfide suppression, dendrite inhibition, and interfacial ...
Naveen Kumar T. R, Xuebing Zhu, Yao‐Jie Lei, Lei Zhang, Hua Kun Liu, Weihong Lai, Guoxiu Wang, Yun‐Xiao Wang   +7 more
wiley   +1 more source

Millisecond‐Scale Relaxation in Metastable HZO Ferroelectric Capacitors for Bio‐Inspired Temporal Computing

Advanced Electronic Materials, EarlyView.
Through the introduction of a niobium oxide layer into a hafnia ferroelectric capacitor stack, we build a memory device with a strong imprint effect. This imprint leads to a millisecond retention loss that can be tuned by the programming conditions that can be utilized as a scalable, analog hardware time constant for bio‐inspired temporal computing ...
Luca Fehlings, Thomas Mikolajick, Beatriz Noheda, Erika Covi   +3 more
wiley   +1 more source

Low-alloy content Ti-Mo-based alloys with large superelasticity and narrow stress hysteresis for potential biomedical applications

Materials Research Letters
In most Ni-free Ti-Nb- and Ti-Zr-based superelastic alloys, large amounts of high-cost and rare elements such as Nb, Ta, Hf and/or Zr are contained, increasing the cost and fabrication difficulty of the alloy.
Shuanglei Li, Xu Wang, Tae-Hyun Nam, Junha Yang, Jong-Taek Yeom   +4 more
doaj   +1 more source

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

Advanced 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, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Materials design workflow for extreme environments via computational method: Transition metal-doped (Hf0.5Ta0.5)C

Journal of Materials Research and Technology
The development of materials such as superalloys, ceramics, and composites for use in extreme environments poses major challenges owing to difficulties associated with those environments, including thermal shock and oxidation.
Junyoung Choi, Hyokyeong Kim, Inseong Bae, Hayoung Son, Jiwoong Kim   +4 more
doaj   +1 more source

Determination of Rare Earth Elements and Nb, Ta, Zr, Hf in Polymetallic Mineral Samples by Inductively Coupled Plasma-Mass Spectrometry Coupled with Open Acid Dissolution and Lithium Metaborate Alkali Fusion

Yankuang ceshi, 2020
BACKGROUND Mixed acid open acid dissolution and alkali fusion methods are the two main dissolution methods for determination of rare earth and refractory elements in geological samples by inductively coupled plasma-mass spectrometry (ICP-MS).
MEN Qian-ni, SHEN Ping, GAN Li-ming, FENG Bo-xin   +3 more
doaj   +1 more source

Highly Stabilized Ni‐Rich Cathodes Enabled by Artificially Reversing Naturally‐Formed Interface

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The application of Ni‐rich cathode materials is obstructed by interfacial and structural instability. This work proposes a facile and cost‐effective Al‐based vapor‐phase surface reaction strategy on Ni‐rich cathode to maintain its structural integrity from near‐surface to bulk.
Jinjin Ma, Yipeng Sun, Duojie Wu, Changhong Wang, Ruizhi Yu, Hui Duan, Matthew Zheng, Ruying Li, M. Danny Gu, Yang Zhao, Jigang Zhou, Xueliang Sun   +11 more
wiley   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source