Results 221 to 230 of about 319,875 (285)

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

A new electromagnetic method for analyzing urban road dust. [PDF]

Sci Rep
Tytko G, Dytłow S, Solecka B, Xie Y.
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Atrazine Degradation by the Nano-Shielded Carbon Dots-Lacassa (CDs-S-M-Lac) System. [PDF]

Nanomaterials (Basel)
Guerrero-Fajardo CA, Bocanegra-Cardenas D.   +1 more
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Bromide Sequestration Using a Low-Cost Hybrid Composite of Calcium, Activated Carbon, Kaolin, and Starch. [PDF]

Polymers (Basel)
Al-Mur BA, Jamal MT.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Mineralogical evidence for hydrothermal alteration of Bennu samples. [PDF]

Nat Geosci
Zega TJ, McCoy TJ, Russell SS, Keller LP, Gainsforth Z, Singerling SA, Manga VR, Harrison C, Libourel G, Prince BS, Thomas-Keprta K, King A, Portail M, Guigoz V, Tu V, Le L, Thompson M, Benner MC, Kerrison NA, Barnes JJ, Ong I, Haenecour P, Chaves L, Smith L, Kontogiannis M, Vega Santiago N, Hill D, Zeszut Z, Domanik K, Chang YJ, Corrigan CM, Ray S, Wardell LR, Gooding T, Rose TR, Bates HC, Schofield PF, Almeida NV, Salge T, Najorka J, Seifert LB, Lunning N, Righter K, Nguyen AN, Brenker FE, Eckley SA, Dworkin JP, Jones RH, Sandford SA, Marcus MA, Bechtel HA, Dominguez G, Yurimoto H, Kawasaki N, Bajo K, Sakamoto N, Zanetta PM, Tachibana S, Busemann H, Hamilton VE, Franchi IA, Grady M, Greenwood RC, Tait K, Timms N, Bland P, Jourdan F, Reddy SM, Rickard W, Saxey D, Vincze L, Connolly HC, Lauretta DS.   +72 more
europepmc   +1 more source

Diamond, aromatic, aliphatic components of interstellar dust grains: Random covalent networks in carbonaceous grains

The Astrophysical Journal, 1995
openaire   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source