Results 141 to 150 of about 190,009 (312)

Discovery and Biosynthesis of the Novel Glycotetrapeptide Antibiotic Biffamycin A

open access: yesAngewandte Chemie, EarlyView.
Genetic de‐regulation of a silent biosynthetic pathway allowed isolation and characterisation of a novel glycopeptide antibiotic named biffamycin A, which harbours unprecedented 5‐chloro‐4‐methoxy tryptophan and 3R‐hydroxy(α‐D‐mannoysl)‐D‐lysine moieties and is bioactive against MRSA and VRSA.
Michael W. Brigham   +11 more
wiley   +2 more sources

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

open access: yesAdvanced 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

Photocatalytic Transfer Hydrogenation Using Plastic Hydrolysates as Hydrogen Donor

open access: yesAngewandte Chemie, EarlyView.
Plastic waste is transformed into functional amines via solar‐driven transfer hydrogenation. Soluble monomers from acid hydrolysis of waste polymers serve as a hydrogen (electron/proton)donors in the selective reduction of nitroarenes using a visible light active photocatalyst consisting of cobalt promoted molybdenum disulfide integrated in cyanamide ...
Papa K. Kwarteng   +2 more
wiley   +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

open access: yesAdvanced 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

Boron‐Doping of a Macrocyclic Tetrafuran Framework Unveils an Expanded Porphyrinoid With Switchable (Anti)Aromaticity and Conformational Dynamics

open access: yesAngewandte Chemie, EarlyView.
We disclose a novel boron macrocycle derived from the sustainable furan building block. The boraporphyrinoid exhibits a global antiaromatic ring current and dynamic conformational flexibility. Twofold reduction induces a switch to strong global aromaticity, accompanied by stiffening of the porphyrinoid backbone.
Lukas Swoboda   +6 more
wiley   +2 more sources

Majority‐Voting Overlapping Method for Error Correction in DNA Data Storage

open access: yesAdvanced Intelligent Discovery, EarlyView.
We propose an overlapping‐based majority‐voting method for DNA data storage error correction. By aligning multiple reads and choosing the most frequent base per position, it suppresses substitution errors without prior models. Validated on synthetic and real sequencing data, it achieves high‐fidelity, scalable, and cost‐effective reconstruction ...
Thi Bich Ngoc Nguyen   +5 more
wiley   +1 more source

Parity determination in particle physics

open access: yesPhysics Letters, 1965
P.L. Csonka   +2 more
openaire   +3 more sources

Automated Dynamic Flow Experimentation for Rapid Kinetic Fitting of Transition Metal Catalysis

open access: yesAngewandte Chemie, EarlyView.
We have developed an automated dynamic flow experimentation platform to automatically fit and identify the most accurate kinetic model from a generated set of candidates. Three transition metal‐catalyzed transformations were performed using this workflow.
Florian L. Wagner   +3 more
wiley   +2 more sources

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

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