Results 181 to 190 of about 463,207 (305)

Fluctuations and correlations in chemical reaction kinetics and population dynamics

, 2018
Submitted ...
Täuber, Uwe C.
core  

A differentiable Gillespie algorithm for simulating chemical kinetics, parameter estimation, and designing synthetic biological circuits. [PDF]

Elife
Rijal K, Mehta P.
europepmc   +1 more source

Imaging Chemical Kinetics of Radical Polymerization with an Ultrafast Coherent Raman Microscope. [PDF]

Adv Sci (Weinh), 2020
Li H, Cheng Y, Tang H, Bi Y, Chen Y, Yang G, Guo S, Tian S, Liao J, Lv X, Zeng S, Zhu M, Xu C, Cheng JX, Wang P.   +14 more
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Chemical Kinetics Investigations of Dibutyl Ether Isomers Oxidation in a Laminar Flow Reactor. [PDF]

Energy Fuels
Naser N, Mohamed SY, Fioroni GM, Kim S, McCormick RL.   +4 more
europepmc   +1 more source

Chemical kinetics of the development of coronaviral infection in the human body: Critical conditions, toxicity mechanisms, "thermoheliox", and "thermovaccination". [PDF]

Chem Biol Interact, 2020
Varfolomeev SD, Panin AA, Bykov VI, Tsybenova SB, Chuchalin AG.   +4 more
europepmc   +1 more source

Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello, Joachim Gussone, Suzana G. Fries, Marcus Rackel, Andreas Stark, Norbert Schell, Jan Haubrich, Guillermo Requena   +7 more
wiley   +1 more source

Measuring competing outcomes of a single-molecule reaction reveals classical Arrhenius chemical kinetics. [PDF]

Nat Commun
Keenan PJ, Purkiss RM, Klamroth T, Sloan PA, Rusimova KR.   +4 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Machine Learning for Polaritonic Chemistry: Accessing Chemical Kinetics. [PDF]

J Am Chem Soc
Schäfer C, Fojt J, Lindgren E, Erhart P.   +3 more
europepmc   +1 more source