Results 191 to 200 of about 115,501 (297)

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

Bayesian Multi-Model Comparison and Nonlinear Mixed Modelling of Growth Trajectories in Denizli Chickens. [PDF]

Animals (Basel)
Manav HR, Narinç D, Aygun A, Öksüz Narinç N, Kaya Başar E, Fırat MZ.   +5 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

Depression and Anxiety Among Women in Lesotho: A Multilevel Analysis of the 2023-2024 LSDHS. [PDF]

Depress Anxiety
Endalew HL, Bazezew AM, Alemu EA, Mekonen EG, Mengistie BA, Zeleke GA, Ayele DG, Yirsaw AN, Aragaw GM, Abuhay AE, Anteneh DE, Lakew G.   +11 more
europepmc   +1 more source

Mechanisms of Alkali Ionic Transport in Amorphous Oxyhalides Solid State Conductors

Advanced Energy Materials, EarlyView.
Large‐scale machine learning‐based molecular dynamics simulations are used to investigate isovalent amorphous oxyhalides, revealing a remarkable chemically independent ionic conductivity. A rigorous analysis of alkali residence times across different metal–anion environments identifies divalent anions as key diffusion bottlenecks.
Luca Binci, KyuJung Jun, Bowen Deng, Gerbrand Ceder   +3 more
wiley   +1 more source

Robust Pose and Inertial Parameter Estimation of an Unknown Aircraft Based on Variational Bayesian Dual Vector Quaternion Extended Kalman Filter. [PDF]

Entropy (Basel)
Xu S, Fang Y, Huang H.
europepmc   +1 more source

Farmers' Preferences for Gene Editing Crops and Influencing Factors

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele, Vigani Mauro   +1 more
wiley   +1 more source

Mapping healthcare service utilisation for diabetes and hypertension in Tanzania mainland: bayesian spatial modeling. [PDF]

Front Health Serv
Magwaja E, Todd J, Chang'a L, Kapesa A, Musenge E, PrayGod G, Kitilya B, Kamala E, Kapyolo E, Faurholt-Jepsen D, Matsena Zingoni Z.   +10 more
europepmc   +1 more source

Determining the Protective Effects of Long‐Term Physical Activity, Exercise, Mental Health, and Employment on Sarcopenia—A Result of a Feasibility Study of a Registry

AGING MEDICINE, EarlyView.
This study highlights that physical activity, employment, and mental health significantly influence sarcopenia risk in healthy adults. Working part‐time or full‐time and exercising, especially sports like swimming, alongside good psychological health, may be associated with reduced odds of sarcopenia.
Mohammad Reza Shadmand Foumani Moghadam, Mostafa Shahraki Jazinaki, Sharif Etemadi, Kazem Eslami, Pegah Meghdadi, Parnian Pezeshki, Mohammad Amoushahi, Reyhane Bakhshipour, Majid Ghayour Mobarhan, Majid Khadem‐Rezaiyan, Reza Rezvani, Zohre Hosseini   +11 more
wiley   +1 more source

Bayesian joint and individual component regression for multigroup physiological data. [PDF]

Sci Rep
Kara M, Cengiz MA, Dünder E, Şenel T.
europepmc   +1 more source