Results 151 to 160 of about 2,794 (216)

CFD modeling and sensitivity‐guided design of silicon filament CVD reactors

AIChE Journal, EarlyView.
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis, G. Loachamín‐Suntaxi, I. G. Aviziotis, E. D. Koronaki, P. P. Filippatos, G. Chatzigiannakis, S. P. A. Bordas, D. Davazoglou, A. G. Boudouvis   +8 more
wiley   +1 more source

Multiplexed Chromatin Analysis Using Optical Spectroscopic Statistical Nanosensing. [PDF]

ACS Photonics
Su Y, Almassalha LM, Acosta N, Dunton CL, Medina KI, Liwag EP, Wang G, Backman V.   +7 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

How key features of early development shape deep convective systems. [PDF]

NPJ Clim Atmos Sci
Abramian S, Muller C, Risi C, Fiolleau T, Roca R.   +4 more
europepmc   +2 more sources

Km-scale coupled simulation and model-observation SST trend discrepancy. [PDF]

Proc Natl Acad Sci U S A
Kang SM, Putrasahan DA, Brizuela NG, Haak H, Kröger J, Marotzke J, Stevens B, von Storch JS.   +7 more
europepmc   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Large-amplitude variability driven by giant dust storms on a planetary-mass companion. [PDF]

Sci Adv
Tan X, Zhang X, Marley MS, Zhou Y, Lew BWP, Miles BE, Batalha NE, Biller BA, Chauvin G, Hinkley S, Hoch KKW, Manjavacas E, Metchev S, Petrus S, Rickman E, Skemer A, Suárez G, Sutlieff BJ, Vos JM, Whiteford N.   +19 more
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Neural general circulation models for modeling precipitation. [PDF]

Sci Adv
Yuval J, Langmore I, Kochkov D, Hoyer S.
europepmc   +1 more source