Results 231 to 240 of about 1,043,302 (266)

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Understanding the impact of emotional engagement on learning outcomes in online education: an automated analysis approach. [PDF]

Sci Rep
Chen G, Han G, Niu J, He J.
europepmc   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Blood gas analysis: Clinical applications, interpretation and future directions (Review). [PDF]

Med Int (Lond)
Sanagustín MN, Osredkar J.
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Colloidal Crack Sintering Lithography for Light‐Induced Patterning of Particle Assemblies

Advanced Functional Materials, EarlyView.
Colloidal crack sintering lithography (CCSL) is a microfabrication technique that uses light‐induced photothermal heating to trigger sintering and controlled cracking in polymer colloidal assemblies. Local structural changes generate microchannels and patterns, enabling direct writing of diverse topographic motifs.
Marius Schoettle, Ariane V. Mader, Willem L. Noorduin   +2 more
wiley   +1 more source

Automated measurement of ascorbic acid levels in camu-camu using Vision Transformer. [PDF]

Front Plant Sci
Gutiérrez Cáceres JC, Blancas Lopez PCL, Gaviria Huanio RE, Ayra Apac NC, Panduro Padilla E, Agurto Cherre CA.   +5 more
europepmc   +1 more source

Clinical validation of fully automated (peri-)articular tissue analysis for assessing osteoarthritis progression: A narrative review. [PDF]

Osteoarthr Cartil Open
Wirth W, Eder J.
europepmc   +1 more source

SIGNOR 4.0: the 2025 update with focus on phosphorylation data. [PDF]

Nucleic Acids Res
Lo Surdo P, Iannuccelli M, Karis K, Meo E, Omidi P, Tosoni M, Graziosi S, Panni S, Fiorillo MT, Licata L, Sacco F, Gyori BM, Perfetto L.   +12 more
europepmc   +1 more source

Leveraging sensor technologies for seed phenotyping by genebanks. [PDF]

Front Plant Sci
Ghamkhar K, Rousseau D.
europepmc   +1 more source