Results 201 to 210 of about 97,499 (261)

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

Modulation of Local Environment for Selective Bicarbonate Conversion to Multi‐Carbon Products

Advanced Energy Materials, EarlyView.
Highly porous Cu electrode partially coated with an ionomer/carbon composite enables efficient conversion of bicarbonate to multi‐carbon products. By regulating the local reaction microenvironment, this strategy overcomes selectivity and reaction‐rate limitations, achieving Faradaic efficiencies of 43% for ethylene and 60% for total multi‐carbon ...
Tai Nguyen, Anh N. Nguyen, Guorui Gao, Jackson Crane, Thành Trần‐Phú, Gelson Tavares da Silva, Aldo Gonzalez‐Lopez, Hung Lai, Khac Huy Dinh, Duc‐Minh Phan‐Pham, Martin Guay, Carlos Escobedo, Rosalie K. Hocking, Jonathan Raisin, Lucia H. Mascaro, Cao‐Thang Dinh   +15 more
wiley   +1 more source

Evolution of noisy learning in games. [PDF]

Proc Natl Acad Sci U S A
Couto MC, Santos FP, Hilbe C.
europepmc   +1 more source

Unpacking the Farmland Capitalization Effect of Ethanol Establishment

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT We unpack the impact of expansions in ethanol production—as measured by proximity to newly constructed ethanol plants and capacity expansions—on farmland values using land transaction data from Kansas in combination with modern causal inference techniques.
Gabriel S. Sampson, Jisang Yu
wiley   +1 more source

Finite sample size errors in the context of multiple error sources in quantitative medical imaging: An evaluation for breast magnetic resonance diffusion-weighted imaging. [PDF]

PLoS One
Eberle JV, Bickelhaupt S, Kapsner LA, Ohlmeyer S, Wenkel E, Uder M, Skwierawska D, Tkotz K, Hadler D, Kuder TA, Laun FB.   +10 more
europepmc   +1 more source

Circularity, Sustainability, and the Quality of Coffee Sold via Vending Machines: What Do Italian Consumers Prefer?

Agribusiness, EarlyView.
ABSTRACT Vending is an important sector in the daily lives of many people, and coffee is the most frequently consumed product in the European market. Like many other sectors, vending is responding to the challenge of sustainable development by taking various actions, such as offering increasingly ecologically sound coffee while maintaining/improving ...
Alberto Bertossi, Stefania Troiano, Francesco Marangon   +2 more
wiley   +1 more source

Superinfection and the hypnozoite reservoir for Plasmodium vivax: a multitype branching process approximation. [PDF]

J Math Biol
Mehra S, Taylor PG.
europepmc   +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

Delay-driven dynamics in a host-vector model of canine Chagas disease. [PDF]

Sci Rep
Raza A, Shafique U, Lampart M, Alsulami M, Fadhal E.   +4 more
europepmc   +1 more source

Population balance modeling and digital design of degree of agglomeration in industrial crystallization

AIChE Journal, EarlyView.
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang, Hemalatha Kilari, Neda Nazemifard, C. Benjamin Renner, Yihui Yang, Charles Papageorgiou, Zoltan K. Nagy   +6 more
wiley   +1 more source