Results 201 to 210 of about 9,607 (255)

Node-equivariant message passing for efficient and accurate machine learning interatomic potentials. [PDF]

Chem Sci
Zhang Y, Guo H.
europepmc   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Graph representation learning via enhanced GNNs and transformers. [PDF]

Sci Rep
Mu H, Zhou C, Yu Q, Mu Q.
europepmc   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Reactive Machine Learning Interatomic Potentials for Chemistry and Materials Science. [PDF]

Chem Rev
Kim J, Cho H, Jeon H, Jung J, Han S.
europepmc   +1 more source

MHBDS: Healthcare blockchain data sharing scheme based on SMPC and TRP-PBFT. [PDF]

Sci Prog
Zhang L, Luo J, Hao Z, Yang Q.
europepmc   +1 more source

graphpancake: a Python package for representing organic molecules as molecular graphs utilizing electronic structure theory. [PDF]

J Cheminform
Sil S, Maskeri MA, Scheidt KA.
europepmc   +1 more source

PRGNet: a Parallel Residual Graph Network for enhanced drug-target binding affinity prediction. [PDF]

BMC Genomics
Liu J, Mehmood A, Liu H, Liu Y, Wei D, Li D.   +5 more
europepmc   +1 more source

A Universal Augmentation Framework for Long-Range Electrostatics in Machine Learning Interatomic Potentials. [PDF]

J Chem Theory Comput
Kim D, Wang X, Vargas S, Zhong P, King DS, Inizan TJ, Cheng B.   +6 more
europepmc   +1 more source