Results 241 to 250 of about 888,833 (294)

Optimizing NiMo Electrocatalyst Coatings for Hydrogen Evolution in Alkaline Electrolysis With The Machine Learning‐Guided Autonomous Platform CatBot

Advanced Functional Materials, EarlyView.
This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio, Jonas Elsborg, Elif Coşkun, Andreas Burger, Pradipkumar Manubhai Leuaa, Thu Pham Anh Phan, Jin Hyun Chang, Christodoulos Chatzichristodoulou   +7 more
wiley   +1 more source

Synthesis and In Vivo Immunological Evaluation of Novel Saponin-Antigen Conjugates Incorporating Tumor-Associated Carbohydrate and Peptide Epitopes. [PDF]

Chemistry
Fuentes R, Tonon-Baschirotto P, Aguinagalde L, Fernández-Tejada A.   +3 more
europepmc   +1 more source

An antibody-PROTAC conjugate targets BRD4/c-Myc/PD-L1 to enhance immunotherapy efficacy in triple-negative breast cancer. [PDF]

Cell Rep Med
Gu Y, Li C, Zhao Y, Xu T, Zhu Y, Wang D, Wang X, Chen J, Li J, Guan X.   +9 more
europepmc   +1 more source

Assessing Vancomycin-Formyl Peptide Conjugate Binding to the Surface of Resistant Staphylococcus aureus via Flow Cytometry. [PDF]

Chembiochem
Hoo WPY, Gullick J, Leung RF, Fulcher AJ, Cass RW, Tailhades J, Peleg AY, Payne JAE, O'Keeffe M, Cryle MJ.   +9 more
europepmc   +1 more source

Modeling and prediction of 316 L stainless steel relative density in L-PBF process using machine learning. [PDF]

Sci Rep
Asnaashari S, Yousefi S, Nikolova MP.
europepmc   +1 more source

Priming Cells with Modulators of Cellular Signaling Ensures Enhanced Selectivity of HSPG-Specific Protein-Drug Conjugate Delivery. [PDF]

J Am Chem Soc
Chorążewska A, Ciura K, Milczarek M, Kłopotowska D, Pomorski A, Więch-Walów A, Łukianowski B, Gajdzis P, Krężel A, Bartoszewski R, Wietrzyk J, Schaefer L, Porębska N, Opaliński Ł.   +13 more
europepmc   +1 more source

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Superlinear Convergence of Conjugate Gradients

SIAM Journal on Numerical Analysis, 2001
The main goal of this paper is to illustrate that some recent results obtained in the logarithmic potential theory can be used for better understanding the phenomenon in the numerical analysis known as superlinear convergence. The authors give a theoretical explanation for superlinear convergence behaviour observed while solving large systems of linear
Bernhard Beckermann, Arno B. J. Kuijlaars   +1 more
openaire   +2 more sources

The Kernel Conjugate Gradient Algorithms

IEEE Transactions on Signal Processing, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ming Zhang 0010, Xiaojian Wang, Xiaoming Chen 0002, Anxue Zhang   +3 more
openaire   +2 more sources

Conjugate gradient method

WIREs Computational Statistics, 2001
AbstractThe conjugate gradient (CG) method for optimization and equation solving is described, along with three principal families of algorithms derived from it. In each case, a foundational CG algorithm is formulated mathematically and followed by a brief discussion of refinements and variants within its family.
openaire   +1 more source