Results 191 to 200 of about 1,043,746 (297)

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

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

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

Antepartum prediction of shoulder dystocia using machine learning. [PDF]

Arch Gynecol Obstet
Heresco L, Levy N, Todress O, Gluska H, Biron-Shental T, Weitzner O.   +5 more
europepmc   +1 more source

Machine learning and data mining: strategies for hypothesis generation [PDF]

, 2012
María A. Oquendo, Enrique Baca‐García, Antonio Artés-Rodrı́guez, Fernando Pérez‐Cruz, Hanga Galfalvy, Hilario Blasco-Fontecilla, David Madigan, Naihua Duan   +7 more
openalex   +1 more source

OCTOID: A Soft Robotic System Featuring Programmable Shape Morphing and Dynamic Structural Coloration

Advanced Functional Materials, EarlyView.
Inspired by octopuses, actuating legs based on soft materials are fabricated with programmed chiroptical properties and mechanical behaviors to achieve dynamic color modulation and reversible shape morphing, and these legs are developed into a modular OCTOID system.
Seung Hui Han, Seok‐In Lim, Ki‐Hyun Ryu, Sang Seok Lee, Dong‐Gue Kang, Jahyeon Koo, Kwang‐Un Jeong, Shin‐Hyun Kim, Dae‐Yoon Kim   +8 more
wiley   +1 more source

Editorial: Machine learning for cybersecurity. [PDF]

Front Artif Intell
Wickramasinghe Brahmana CS, Marino D, De Silva D, Manic M.   +3 more
europepmc   +1 more source

Desertification Monitoring Using Machine Learning Techniques with Multiple Indicators Derived from Sentinel-2 in Turkmenistan [PDF]

Arslan Berdyyev, Yousef A. Al-Masnay, Mukhiddin Juliev, Jilili Abuduwaili   +3 more
openalex   +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

An improved model combining machine learning and Kalman filtering architecture for state of charge estimation of lithium-ion batteries

Yan Li, Min Ye, Qiao Wang, Gaoqi Lian, Baozhou Xia   +4 more
openalex   +1 more source