Results 191 to 200 of about 862,981 (299)

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 inference for integrated pharmacokinetic modelling of mitragynine and 7-hydroxymitragynine. [PDF]

ADMET DMPK
Notario D, Gunawan U, Kambira PFA, Wulandari E, Wulandari E, Prasetyanto EA.   +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

Fused ensembles of dynamic-rupture earthquake simulations to accelerate Bayesian inference. [PDF]

GEM
Kurapati V, Schneller D, Seelinger L, Niu Z, Gabriel AA, Bader M.   +5 more
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

Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation. [PDF]

PLoS Comput Biol
Temfack D, Wyse J.
europepmc   +1 more source

Differentiated Impacts of EU Rural Development Measures: A Finite Mixture Evaluation of Italian Olive Farms

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This paper examines the relationship between participation in the EU Rural Development Program and the economic performance of Italian olive farms using a finite‐mixture model with inverse‐probability‐weighted regression adjustment. Based on 2010–2022 FADN panel data, it estimates heterogeneous treatment effects while correcting for selection ...
Francesco Caracciolo, Marilena Furno
wiley   +1 more source

Intelligent Optimization of Gas-Assisted Electrospinning via LLM-Guided Bayesian Inference. [PDF]

Micromachines (Basel)
Zeng J, Zhang R, Ou W, Zhang X, Huang S, Chen X, Xu G.   +6 more
europepmc   +1 more source

Delaying the Inevitable? U.S. Screwworm Closures and Feeder Cattle Market Dynamics

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Biosecurity trade restrictions are commonly framed as preventive measures, yet in many settings they function primarily as policies of delay: they impose immediate market costs while only postponing the arrival of biological risks. This paper evaluates that intertemporal tradeoff using the 2024–2025 US suspension of live cattle imports from ...
Shelby Sumner, Savannah Jones, Tania Islam, K. Aleks Schaefer   +3 more
wiley   +1 more source

Identifying Potassium-Associated Ecological Transition Zones for <i>Mimosa pigra</i> Invasion Using Explainable Machine Learning and Bayesian Inference. [PDF]

Biology (Basel)
Gomontean B, Pingal AC, Khamthong K.
europepmc   +1 more source