Results 191 to 200 of about 3,059,506 (288)

A Large-Scale Analysis of Corrosion Data in High-Sulfur Natural Gas Purification Systems. [PDF]

ACS Omega
Meng Q, Zhang W, Liu L, Chen K, Xiang C, Deng Y, Zhong C.   +6 more
europepmc   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

moTSart: accelerating automated transition state search with generative models in a low-data regime.

Digit Discov
Galustian L, Karwounopoulos J, Demuth T, De Landsheere J, Mark K, Kovar MP, Zamyatin A, Svatunek D, Heid E.   +8 more
europepmc   +1 more source

Data driven selection of consensus docking pipelines for structure based hit identification. [PDF]

NPJ Drug Discov
Agha H, Ibrahim Y, Backenköhler M, Lacour A, Hamed MM, Hirsch AKH, Volkamer A.   +6 more
europepmc   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Correction: Comparison of lattice and pipeline flow diverters for the treatment of distal intracranial aneurysms: an inverse probability of treatment weighting analysis. [PDF]

Front Neurol
Liu X, Liu K, Jin A, Zhao Y, Lyu TJ, Hu W, Zhou Y, Peng Q, Xie X, Zhu X, Zhou S, Huang J, Yang X, Mu S.   +13 more
europepmc   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Beyond the Edit: Integrating CRISPR-Cas Genome Editing Into the Cereal Breeding Pipeline. [PDF]

Int J Genomics
Ali B, Hafeez A, Imin N.
europepmc   +1 more source