Results 151 to 160 of about 891,805 (270)

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

Effect of Career Development and Career Plateau on Career Satisfaction of Nurses

Journal of Korean Public Health Nursing, 2016
openaire   +2 more sources

Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning

Advanced Intelligent Discovery, EarlyView.
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade, Isaac Vidal‐Daza, Rafael Gómez‐Bombarelli, James W. Ryan, Francisco J. Martin‐Martinez   +4 more
wiley   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Operando Identification of the Active Phase in Sr‐Promoted Lanthanum Cobaltite Perovskite‐Derived Catalysts for Ammonia Decomposition

Angewandte Chemie, EarlyView.
Ammonia decomposition catalyzed by base metals: Exsolution of cobalt from perovskites prepared by spray‐flame synthesis (SFS) yields highly active, SrO‐promoted Co/La2O3 catalysts with low cobalt content. Operando studies provide insight into the function of the promoter. Dynamic surface reconstruction under operating conditions increases the interface
Barış Alkan, Liseth Duarte‐Correa, Detre Teschner, Kassiogé Dembélé, Mino Borrelli, Anh Binh Ngo, Konstantinos Kappis, Mattia Scardamaglia, Zohreh Asadi, Wiebke Riedel, Thomas Risse, Frank Girgsdies, Gregor Koch, Olaf Timpe, Axel Knop‐Gericke, Thomas Lunkenbein, Annette Trunschke   +16 more
wiley   +2 more sources

Getting unstuck from a stagnant career: examining the role of perceived mentor proactivity in the relationship between protégés career plateaus and workplace avoidance behavior. [PDF]

Front Psychol
Wang Y, Zada M, Alotaibi HS, Vega-Muñoz A, Contreras-Barraza N, Khan J, Ali K.   +6 more
europepmc   +1 more source

Majority‐Voting Overlapping Method for Error Correction in DNA Data Storage

Advanced Intelligent Discovery, EarlyView.
We propose an overlapping‐based majority‐voting method for DNA data storage error correction. By aligning multiple reads and choosing the most frequent base per position, it suppresses substitution errors without prior models. Validated on synthetic and real sequencing data, it achieves high‐fidelity, scalable, and cost‐effective reconstruction ...
Thi Bich Ngoc Nguyen, Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Thi Hong Nhung Vu, Sung Ha Park   +5 more
wiley   +1 more source

Associations of Nurses' Career Attitudes, Career Management Behaviors, and Understanding and Expected Outcomes of The Career Ladder System With Intention to Stay and Career Satisfaction: A Cross-Sectional Study. [PDF]

Res Nurs Health
Kim AR, Ham YH, Hong JH, Kwak M, Baek HJ, Lee G.   +5 more
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source