Results 191 to 200 of about 69,048 (265)

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

Advanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu, Yufei Zhang, Han Zhao, Pooi See Lee, Daniel H.C. Chua   +4 more
wiley   +1 more source

Built‐In Electric Field Regulated Electron Transport Channels of FeP Supported Os for Ampere‐Level Seawater Electrolysis

Advanced Energy Materials, EarlyView.
This work presents an Os/FeP heterostructure catalyst with EMSI and successfully utilizes the BEF to further modulate electron transfer through Os‐P‐Fe channels, proving an effective approach of developing low‐cost electrocatalysts with remarkable HER activity in ampere‐level seawater electrolysis. ABSTRACT Developing cost‐effective and robust hydrogen
Qing Liu, Yukun Zhang, Zili Liu, Yu Wang, Hongdong Li, Weiping Xiao, Wenli Yu, Lingfeng Zhu, Tianyi Ma, Jun Xing, Wei Jin, Liqun Ye, Lei Wang, Zexing Wu   +13 more
wiley   +1 more source

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion

Advanced Intelligent Discovery, EarlyView.
This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

The Critical Role of Fractionated Urine Glycosaminoglycans in the Evaluation of Mucopolysaccharidosis Type II in Four Unrelated Families

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Since 2015, Ann and Robert H. Lurie Children's Hospital has performed diagnostic testing for infants who screen positive for mucopolysaccharidosis type II (MPS II) on the Illinois newborn screen. Preliminary diagnostic testing includes measurement of plasma iduronate‐2‐sulfatase enzyme activity and urinary glycosaminoglycan analysis, followed ...
Carly A. Rasmussen, Monika Izdebski, Allison Paltzer, Rachel Hickey, Laura Pollard, Joshua Baker   +5 more
wiley   +1 more source

Gut–Brain Axis Modulation by Short‐Chain Fatty Acids Exerts Disease‐Modifying Effects in a Murine Model of Drug‐Resistant Epilepsy

Annals of Neurology, EarlyView.
Objective Drug‐resistant epilepsy (DRE) remains a clinical challenge, as therapies modifying disease trajectory are lacking. Increasing evidence implicates gut microbiota dysbiosis in epilepsy pathophysiology, with short‐chain fatty acids (SCFAs) emerging as key microbial metabolites with neuroprotective and anti‐inflammatory properties.
Akash A. Bera, Rossella Di Sapia, Greta Volpedo, Sneha Anand, Eray Sahin, Pasquale Baldassarre, Francesca Buffelli, Andrea Petretto, Chiara Lavarello, James D. Mills, Gabriele Cattaneo, Ilaria Craparotta, Eleonora Aronica, Antonella Riva, Pasquale Striano, Annamaria Vezzani, Teresa Ravizza   +16 more
wiley   +1 more source