Results 221 to 230 of about 279,436 (276)

OVH-guided planning for superior heart and lung sparing in breast cancer radiotherapy. [PDF]

J Appl Clin Med Phys
Lei H, Li D, Wei W, Zheng H, Wu X, Xue X.   +5 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Automated multi-objective pedicle screw planning. [PDF]

J Spine Surg
Götschi T, Maranta G, Cornaz F, Abel F, Farshad M, Widmer J.   +5 more
europepmc   +1 more source

Toward Standardization in CO2 Electrolysis: A Round Robin Study

Advanced Energy Materials, EarlyView.
CO2 electrolysis is a promising green technology for producing fuels and chemicals. To support its real‐world adoption, researchers conducted a collaborative study to identify sources of experimental variability. They found key differences in temperature and pressure control across labs and proposed a standardized testing protocol to improve ...
Dorottya Hursán, Kevinjeorjios Pellumbi, Balázs Endrődi, Angelika A. Samu, Emilia Wessel, Henri Pelzer, Viktor Józó, Jasper Biemolt, Ulf‐Peter Apfel, Thomas Burdyny, Brian Seger, Peter Strasser, Csaba Janáky   +12 more
wiley   +1 more source

Automated MR-only radiotherapy outperforms CT-based radiotherapy and decreases hands-on time for head-and-neck cancer treatment. [PDF]

Clin Transl Radiat Oncol
Lauwers I, Capala M, Kaushik S, Ruskó L, Cozzini C, Szabó E, Kékesi Á, Deák-Karancsi B, Wyatt J, Pearson R, Verduijn G, Wiesinger F, Hernandez-Tamames J, Petit S.   +13 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Development and feasibility assessment of an automated, synthetic CT-guided plan selection system for bladder cancer adaptive radiotherapy: a retrospective pilot study. [PDF]

Transl Cancer Res
Meng H, Wang X, Liu P, Liu Q, Yang Y.
europepmc   +1 more source

Measuring Nutrition Security Using the Consumer Food Data System Datasets

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Nutrition security is an emerging concept lacking a consensus definition, conceptualization, or standardized measure. This perspectives manuscript synthesizes findings from two previously published analyses to assess the feasibility of using available measures of key dimensions of nutrition security from two Consumer Food Data System (CFDS ...
Vibha Bhargava, Jung Sun Lee, Travis A. Smith   +2 more
wiley   +1 more source

Dosimetric Comparison of Automated Noncoplanar VMAT (HyperArc) Versus CyberKnife for Single-Fraction Vestibular Schwannoma Stereotactic Radiosurgery. [PDF]

Cancers (Basel)
Xiong Z, Zhang Y, Zhou L, Xu K, Zhang X, Bell L, Warburton F, Huang D, Motwani SB, Cathcart CS, Nie K, Yue N, Wang X.   +12 more
europepmc   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source