Results 151 to 160 of about 6,815,752 (285)

Dental age estimation in forensic odontology: a systematic review comparing traditional methods and artificial intelligence approaches. [PDF]

Front Dent Med
Lakhaouaja F, García Navarro A.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Multioutput Machine Learning Model for Predicting Postoperative Outcomes After Liposuction: Algorithm Development and Validation Study in a Multicenter Cohort. [PDF]

JMIR Med Inform
Lee C, Park S, Hwang J, Woo S, Park YC, Seo JW, Lee SH, Ahn JH, Yon DK, Rhee SY.   +9 more
europepmc   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

A clinical support tool using artificial intelligence to diagnose pulmonary hypertension. [PDF]

Eur Respir J
Shams SM, Maldarelli ME, Yin Y, Cassady S, Ramani G, Ennett CM, Maron BA, Zeder K.   +7 more
europepmc   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

Advanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo, Dae Hui Park, Jeong‐Ho Jang, Woo Seok Tack, Jin Man Kim, Hak Ki Yu, Hyeong Min Jin, Jang Hwan Kim   +7 more
wiley   +1 more source

Multi-Objective Optimization of Milling Process Parameters Using MOWOA and Comprehensive Performance Evaluation via AHP-TOPSIS. [PDF]

Sensors (Basel)
Cai F, Xia R.
europepmc   +1 more source

Seamless Mechanical Programming Through Hybrid Epoxy–Acrylate Printing for Soft–Rigid Robots

Advanced Materials, EarlyView.
Hybrid epoxy‐acrylate printing enables seamless fabrication of soft–rigid robotic systems with covalently integrated interfaces and functionally graded mechanics. Grayscale exposure expands the accessible material space, enabling spatially programmed actuation through patterned stiffness while revealing the mechanics and durability of continuously ...
David C. Bershadsky, Franz A. Stolpen, Zachariah A. Page, Lillian Chin   +3 more
wiley   +1 more source

Dual-Level XAI-Guided Digital Twin Framework for Prescriptive Decision Making in Sensor-Driven Manufacturing. [PDF]

Sensors (Basel)
Park J.
europepmc   +1 more source