Results 81 to 90 of about 101,837 (275)

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Perturbation of an α-stable type stochastic process by a pseudo-gradient

Modern Stochastics: Theory and Applications
A Markov process defined by some pseudo-differential operator of an order $1\lt \alpha \lt 2$ as the process generator is considered. Using a pseudo-gradient operator, that is, the operator defined by the symbol $i\lambda |\lambda {|^{\beta -1}}$ with ...
Mykola Boiko, Mykhailo Osypchuk
doaj   +1 more source

New physics searches at near detectors of neutrino oscillation experiments

, 2010
We systematically investigate the prospects of testing new physics with tau sensitive near detectors at neutrino oscillation facilities. For neutrino beams from pion decay, from the decay of radiative ions, as well as from the decays of muons in a ...
A Abada, A Bandyopadhyay, A Brignole, A Broncano, A Broncano, A Cervera, A Dedes, A Gouvêa de, A Ibarra, A Rujula De, A Zee, A Zee, AI Vainshtein, C Amsler, C Biggio, C Biggio, D Autiero, D Black, D Meloni, D Tommasini, DG Michael, DJ Gross, E Arganda, E Eskut, E Fernandez-Martinez, E Ma, E Nardi, Enrique Fernandez-Martinez, F Cuypers, GC Branco, HB O’Connell, J Gasser, J Gasser, J Kopp, JF Donoghue, JJ Sakurai, KS Babu, KS Babu, M Blennow, MA Shifman, Mattias Blennow, MB Gavela, MC Gonzalez-Garcia, MJ Herrero, ML Goldberger, NM Kroll, P Astier, P Herczeg, P Langacker, P Langacker, P Paradisi, P Zucchelli, R Barbier, RN Mohapatra, S Antusch, S Antusch, S Antusch, S Bergmann, S Bergmann, S Davidson, S Davidson, S Davidson, S Geer, S Goswami, S Kanemura, S Weinberg, S Weinberg, SK Agarwalla, SL Adler, Stefan Antusch, T Han, T Ohlsson, T Ota, Toshihiko Ota, W Buchmüller, W Buchmüller, WI Weisberger, Y Grossman, Z Berezhiani   +78 more
core   +1 more source

Computational study of permeability in cardboard coating layers

AIChE Journal, EarlyView.
Abstract We develop a virtual material structure model based on a combination of tessellations and Gaussian random fields for a coating layer of paperboard used for packaging and designed to facilitate printing on the surface. To fit the model to tomographic image data acquired using combined focused ion beam and scanning electron microscopy (FIB‐SEM),
Sandra Barman, Torben Nilsson Pingel, Niklas Lorén, Tobias Gebäck, Eva Olsson, Aila Särkkä, Magnus Röding   +6 more
wiley   +1 more source

On Some Open Problems in Spatial Fractional Integration

Fractal and Fractional
Some open problems regarding fractional powers of the negative generator of a discrete-time random walk and a Markov process are discussed. The suggested approach combines analytic and probabilistic ideas and may be useful for developing fractional ...
Donatas Surgailis
doaj   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

A NEW REPRESENTATION RESULT FOR STOCHASTIC DIFFERENTIAL EQUATIONS WITH INFINITE MARKOV JUMPS AND MULTIPLICATIVE NOISE [PDF]

Fiabilitate şi Durabilitate, 2012
In this paper we give a new representation of the conditional mean square of the solutions for a classof stochastic differential linear equations with infinite Markov jumps (SDELMs) and multiplicative noise. Theobtained result is related to the solutions
Viorica Maria Ungureanu
doaj  

Dirichlet Forms Constructed from Annihilation Operators on Bernoulli Functionals

Advances in Mathematical Physics, 2017
The annihilation operators on Bernoulli functionals (Bernoulli annihilators, for short) and their adjoint operators satisfy a canonical anticommutation relation (CAR) in equal-time.
Caishi Wang, Beiping Wang
doaj   +1 more source