Results 211 to 220 of about 18,077,726 (344)

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

Digitalization and resilience enhancement: How digital infrastructure construction affects urban resilience. [PDF]

PLoS One
Lu B, Shi R, Wang Y.
europepmc   +1 more source

Droplet Triboelectrification on Liquid‐Like Polymer Brushes

Advanced Functional Materials, EarlyView.
This work investigates the triboelectrification of water droplets on polymer brush‐coated surfaces exhibiting minimal contact line pinning. Such surfaces enable the systematic study of electrode patterning and controlled changes in droplet contact area.
Mohammad Soltani, Adel Malekkhouyan, Araz Rajabi‐Abhari, Behrooz Khatir, Ning Yan, Kevin Golovin   +5 more
wiley   +1 more source

Forecasting Energy Demand in Quicklime Manufacturing: A Data-Driven Approach. [PDF]

Sensors (Basel)
Leon-Medina JX, Fonseca Gonzalez JE, Callejas Rodriguez NY, González Niño ME, Hernández Moreno SA, Pineda-Munoz WA, Siachoque Celys CP, Umbarila Suarez B, Pozo F.   +8 more
europepmc   +1 more source

Purcell‐Enhanced Spectrally Precise Emission in Dual‐Microcavity Organic Light‐Emitting Diodes

Advanced Functional Materials, EarlyView.
Spectrally precise emission from broadband organic light‐emitting diodes is realized via a dual‐microcavity strategy. This architecture achieves narrowband emission (full width at half maximum, FWHM = 21 nm) with ultrapure color approaching BT.2020 by enhancing the Purcell effect via coupling of excitons with dual‐microcavity resonance.
Jun Yong Kim, Sang Youn Lee, Kwan Hyun Cho, Yun Seon Do   +3 more
wiley   +1 more source

An AM-CNN-BiGRU network with spatiotemporal feature fusion for industrial robot predictive maintenance. [PDF]

Sci Rep
Zang Z, Zhang Y, Ruan S, Wang L, Zhang X, Song L, Huang Y, Ye S.   +7 more
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

Industrial upgrading and new quality productive forces: evidence from Chinese industrial parks. [PDF]

Front Public Health
Li C, Wang M.
europepmc   +1 more source

From Waste to Value: Conversion of Calcium Sulfate to Vaterite via Carbon Capture and Storage

Advanced Functional Materials, EarlyView.
This study introduces a new concept for carbon management that relies on the carbonation of industrial gypsum waste and yields phase‐pure vaterite at ambient conditions without any additives. The obtained vaterite is further shown to be a reactive material that develops compressive strength in aqueous suspensions like conventional cements.
Carlos Pimentel, German Montes‐Hernández, Pablo Almarza‐Cifuentes, Matthias Kellermeier, Alexander E.S. Van Driessche   +4 more
wiley   +1 more source