Results 241 to 250 of about 219,728 (324)

Halogen Effect in Dual-Catalysis PhotoATRP. [PDF]

Macromolecules
Coskun HI, Radadiya R, Yilmaz G, Matyjaszewski K.   +3 more
europepmc   +1 more source

Hydrogenation of Organic Halogen Compounds. III. Catalytic Hydrogenolysis of Dichloromethyl and Trichloromethyl Compounds

, 1960
磯貝 浩司
openalex   +2 more sources

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Near‐Infrared‐Light‐Driven Photochemistry and Photocatalysis: Mechanisms, Recent Applications, and Opportunities in Organic Synthesis and Biology

Angewandte Chemie, EarlyView.
This minireview highlights recent advances in catalyst development and mechanistic strategies that enable photochemical and photocatalytic reactivity under 700–1000 nm NIR light, emphasizing how long‐wavelength excitation expands opportunities in both synthetic chemistry and biology.
Santosh K. Pagire, Wesley J. Olivier, Debabrata Maiti, Alex C. Bissember   +3 more
wiley   +2 more sources

Publisher Correction: A dataset of chemical reaction pathways incorporating halogen chemistry. [PDF]

Sci Data
Lee M, Jeong J, Ashyrmamatov I, Ucak UV, Kim S, Lee J, Sim E.   +6 more
europepmc   +1 more source

Organisms utilization new technology research symposium ( 4th ). Halogen eliminaion from the organochlorine herbicide by the soil bacteria.

, 1997
Yumiko OKOCHI, Hiromoto Koshikawa, Masaki Nishijima, Hiroaki Ozaki, Yutaka Terashima   +4 more
openalex   +2 more sources

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Photocatalytic Cross‐Coupling of Phenols and Heteroaryl Halides With Machine Learning‐Guided Reaction Prediction

Angewandte Chemie, EarlyView.
Photocatalytic cross‐coupling: A redox‐neutral photochemical method enables direct C(sp2)─C(sp2) bond formation between phenols and heteroaryl halides using an organic dye and base. Complementary radical generation allows efficient cross‐coupling in up to 91% yield. Mechanistic studies, DFT, HTE, and machine learning rationalize and predict reactivity,
Matthew C. Carson, Alice Wu, Kalyana B. Duggal, Madeline E. Rotella, Marisa C. Kozlowski   +4 more
wiley   +2 more sources

Halogen Bonds under Electric Field with Quantum Accuracy and Relativistic Basis Sets. [PDF]

J Phys Chem A
Ottanà G, Mastronardo S, Eminger P, Mráziková K, Trusso S, Saija F, Ferus M, Monsù Scolaro L, Xie J, Tommasini M, Cassone G.   +10 more
europepmc   +1 more source

Investigation of Halogen Content in Used Polystyrene for Home Appliance Goods

, 2004
Toshiaki Miyanaga, Takuji Motegi
openalex   +2 more sources