Results 91 to 100 of about 123,027,210 (182)

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

Advanced Science, Volume 13, Issue 51, 14 September 2026.
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

Thermodynamics and Kinetics in Host Design for Dendrite‐Free Zinc Metal Anodes

Advanced Science, EarlyView.
This review comprehensively summarizes recent advances in host design strategies for high‐performance zinc metal anodes, and deeply elucidates their thermodynamic and kinetic design principles from the perspective of surface modification, interface engineering, and spatial confinement.
Peng Xiao Sun, Quanwei Ma, Yangyang Liu, Longhai Zhang, Rui Wang, Yu‐Hui Zhu, Tengfei Zhou, Sen Xin, Le Yu, Chaofeng Zhang   +9 more
wiley   +1 more source

A Unified Hierarchical Multiscale Fusion Framework for Drug–Target Affinity Prediction: From Benchmark Performance to Nanomolar Inhibitor Discovery

Advanced Science, EarlyView.
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu, Xiang Zhang, Haixia Feng, Yuquan Li, Xiaoqing Gong, Yong Liang, Xiaojun Yao, Huanxiang Liu   +7 more
wiley   +1 more source

Single‐Cell Profiling Reveals Clonally Expanded CX3CR1+ T Cells in Anti‐NMDA Receptor Encephalitis

Advanced Science, EarlyView.
CX3CR1+ T cells are associated with peripheral and central immune alterations in anti‐NMDA receptor encephalitis (NMDAR‐E). They show potential responsiveness to GluN1 (NR1) peptides, potential interactions with peripheral B cells, clonal expansion, increased CD137/CD154 expression, and inflammatory cytokine production. Their preferential cerebrospinal
Lin Yan, Erdi Zhang, Yuwen Ma, Zirui Meng, Sisi Li, Yimeng Ren, Xiaohe Tian, Yangyi He, Giuseppe Battaglia, Dong Zhou, Yun Liao, Binwu Ying, Jinmei Li, Minjin Wang   +13 more
wiley   +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

Modeling and evaluation of causal factors in emergency responses to fire accidents involving oil storage system. [PDF]

Sci Rep, 2021
Yuan C, Zhang Y, Wang J, Tong Y.
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced 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, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Assessing the impact of AI-enabled BIM digital twins on construction risks: a Bayesian Network of Jordanian expert beliefs. [PDF]

Front Artif Intell
Albtoush F, Al-Btoosh JAA, Rawashdeh TM, Al-Btoush MAKA.   +3 more
europepmc   +1 more source