Results 231 to 240 of about 85,379 (320)
Machine Learning Accelerates Crystallization for Structure Determination
Single‐crystal x‐ray diffraction (SCXRD) is often constrained by the difficulty of obtaining suitable crystals. Here, a machine learning‐accelerated co‐crystal discovery workflow is established for a crystalline mate strategy that achieves over 95% prediction accuracy and experimentally delivers 114 co‐crystals from 120 candidates.
Cui‐Zhou Luan +10 more
wiley +2 more sources
Halogen Bond-Driven Ligand Displacement: Co-Crystal Lattice Versus Coordination Bonds. [PDF]
Torubaev YV +3 more
europepmc +1 more source
We identify two decisive levers for SAM interfaces: molecular design (carboxylic acid‐based, phosphonic acid, other anchoring chemistries, and polymeric SAMs) and mixing routes (co‐assembly, in situ assembly, pre‐ and post‐treatment). Coordinated tuning of headgroups and assembly pathways optimises energy alignment and film formation, suppresses ...
Jiaxu Zhang, Bochun Kang, Feng Yan
wiley +1 more source
Evaluation of Azobenzene Ethers Carrying a Perhalogenated Moiety as Halogen Bond Donors by Cocrystallization with Nitrogen-Containing Acceptors. [PDF]
Kučas F +4 more
europepmc +1 more source
Luminous Self-Assembled Fibers of Azopyridines and Quantum Dots Enabled by Synergy of Halogen Bond and Alkyl Chain Interactions. [PDF]
Pan Y +7 more
europepmc +1 more source
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source
Highly Reversible Aqueous Anode‐Free Cadmium–Bromine Batteries
Cadmium and zinc anodes in aqueous electrolytes are compared, revealing that cadmium deposits smoothly with suppressed parasitic reactions and high metal utilization. Anode‐free cadmium–bromine batteries are then developed, where LiCl additive tunes the Cd2+ solvation structure to accelerate Cd2+ desolvation and plating kinetics.
Xun Zhao +5 more
wiley +2 more sources
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

