Results 211 to 220 of about 54,055 (293)

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

Development and Characterization of Sawdust-Based Ceramic Membranes for Textile Effluent Treatment. [PDF]

Membranes (Basel)
Marques AVS, Barbosa ADS, Maia LF, Rodrigues MGF, Lins Almeida Barbosa T, Luna CBB.   +5 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Molecular-Level Characterization of Carbonaceous Aerosols via Coupled Thermal-Optical Carbon Analysis and Ultra-High-Resolution FT-ICR Mass Spectrometry. [PDF]

ACS Meas Sci Au
Vesga-Martínez SJ, Rüger CP, Etscheidt F, Bauer M, Martens P, Neumann A, Czech H, Zimmermann R.   +7 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Potential of Wood Processing Residues as Eco-Friendly Adsorbents for Wastewater Treatment. [PDF]

Materials (Basel)
Lavrova S, Yavorov N.
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Toward the Optimization of the Optical Behavior of Transparent Wood: Current State of the Art and Perspectives. [PDF]

Polymers (Basel)
Pugliese D, Malucelli G.
europepmc   +1 more source

Wood modification in Slovenia [PDF]

, 2020
Burnard, Michael David, Kitek Kuzman, Manja, Kutnar, Andreja   +2 more
core   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source