Results 171 to 180 of about 116,313 (254)

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

Cycling Performance of Sodium‐Metal Chloride Battery Cells and Modules Based on Iron and Zinc

Advanced Energy Materials, EarlyView.
High‐utilization sodium–metal chloride cells with a mixed‐metal Fe, Zn, NaCl cathode enable efficient high‐temperature cycling (300°C) while reducing cost and environmental impact. Near‐theoretical capacity and high efficiency are achieved in single cells.
William Nash, Enea Svaluto‐Ferro, Robert Zboray, Fabrizio Vagliani, Diego Basso, Alberto Turconi, Andrea Pozzi, Corsin Battaglia, Norbert Weber, Tom Weier, Meike V. F. Heinz   +10 more
wiley   +1 more source

Electrocatalytic Urea Waste Valorization via Water Electrolysis: Transition‐Metal Phosphides for Sustainable Hydrogen Production

Advanced Energy Materials, EarlyView.
This article provides a comprehensive analysis of transition metal phosphides (TMP) as electrocatalysts for urea‐assisted water electrolysis, highlighting the critical role of phosphorus engineering in modulating electronic structure, optimizing active sites, and enhancing catalytic durability.
Shivalingayya Gaddimath, Varsha Kashanner, Soumya Kulkarni, Vishal Sorathiya, Anitha Bamani, Rajveer Singh Rajaura, Mahaveer Kurkuri, Shambhulinga Aralekallu, Yogendra Kumar Mishra   +8 more
wiley   +1 more source

Anatomical and expressive significance of the brachioradialis in Michelangelo's <i>Moses</i>. [PDF]

Anat Cell Biol
Hwang K.
europepmc   +1 more source

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Comparative safety of B/F/TAF versus other antiretroviral therapy regimens for treatment-experienced people with HIV-1: a systematic literature review and network meta-analysis. [PDF]

J Comp Eff Res
Curteis T, Eddowes LA, Karlsson A, Luedke H, Rubinstein M, Hempfling M, Gurney J, Gandhi-Patel B, Unger N, Mordi U, Chen M, Jarrett J, Sherman EM, Mounzer K, Khalsa AM, Dinges WL, McKellar MS, Lipps A.   +17 more
europepmc   +1 more source

GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs

AIChE Journal, EarlyView.
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin, Artur M. Schweidtmann   +1 more
wiley   +1 more source

Myocardial mapping: anatomy in the era of digital cardiology. [PDF]

Cardiovasc Diagn Ther
Bramora PJ.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

HIV-Associated Pulmonary Arterial Hypertension in Resource-Limited Settings: A "Forgotten" Diagnosis, a Great Imitator, and a Multi-Hit Pulmonary Vasculopathy. [PDF]

Pulm Circ
Eroume A Egom E, Adamou M, Djouldé I, Ibrahim N, Célestin M, Ambe LA, Fabrice MM, Moustapha, Kamgang R.   +8 more
europepmc   +1 more source