Results 161 to 170 of about 4,366 (259)

Tuning the Mechanical Properties of Crosslinked Copolymers via Sequence and Solvent‐Selective Swelling for Vat Photopolymerization

open access: yesAngewandte Chemie, EarlyView.
Polymer sequence and solvent selectivity independently modulate pendant‐vinyl accessibility during photocuring, trapping different topologies in CLIP and controlling mechanical properties. ABSTRACT Block copolymers (BCPs) offer distinct advantages for vat photopolymerization by enabling mechanically programmable network structures through microphase ...
Chia‐Min Hsieh   +12 more
wiley   +2 more sources

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

Dual Activation of H2 and CO2 by a Pincer‐Type Ni–Zn Heterobimetallic Complex

open access: yesAngewandte Chemie, EarlyView.
A bimetallic Ni−Zn complex performs sequential activations of H2 (1 equiv) and CO2 (2 equiv). This bimetallic cooperativity is attributed to the weak Lewis acidic nature of Zn(II), which promotes fluxional ligand binding. Namely, an X‐type ligand at Ni, where X is hydride or formate, toggles between two different binding modes: bridging Zn(μ‐X)Ni and ...
Krishnendu Dey   +3 more
wiley   +2 more sources

Inferring three-nucleon couplings from multi-messenger neutron-star observations. [PDF]

open access: yesNat Commun
Somasundaram R   +7 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Implantation‐On‐Chip: An AI‐Based Platform for Monitoring the Embryo Trophoblast–Endometrial Stroma Cross Talk With Xenobiotics Interference

open access: yesAdvanced Intelligent Systems, EarlyView.
We present a novel AI‐integrated implantation‐on‐chip platform that enables mimicking and monitoring the maternal–fetal interactions at the early phases of human embryo implantation with high spatiotemporal resolution. The complexity of the trophoblast invasion process was addressed by conducting the analysis at global (rate of invasion) and local ...
Joanna Filippi   +12 more
wiley   +1 more source

Employing deep-learning techniques for the conservative-to-primitive recovery in binary neutron star simulations. [PDF]

open access: yesEur Phys J A Hadron Nucl
Mudimadugula R   +5 more
europepmc   +1 more source

Electromagnetic Chirps from Neutron Star-Black Hole Mergers. [PDF]

open access: yesAstrophys J, 2018
Schnittman JD   +4 more
europepmc   +1 more source

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