Results 121 to 130 of about 58,936 (221)

Engineering multispecific antibodies with complete killing selectivity through the closed-loop integration of machine learning and high-throughput experimentation. [PDF]

MAbs
Grace J, Colin PY, Foxler D, Haynes W, Howsham C, Kassimatis L, Mavrogonatou L, Mighell R, McClory J, Mullin M, Ogola T, Townsend A, Ravi S, Wossnig L, van Heeke G.   +14 more
europepmc   +1 more source

Bio‐Inspired Molecular Events in Poly(Ionic Liquids)

Advanced Functional Materials, EarlyView.
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley   +1 more source

Research on plug-and-play correlation enhancement modules in deep multi-label learning. [PDF]

Sci Rep
Zhang J, Yuan C, Li X.
europepmc   +1 more source

Organometallic Precursor‐Induced Gradient Architecture on Multilayer Nanoporous Graphene Membranes for Precise Organic Solvent Nanofiltration

Advanced Functional Materials, EarlyView.
Alumina growth narrows surface pores and seals non‐selective defects, enhancing selectivity while preserving the nanoporous graphene architecture. Additionally, the deposition enables gradient‐controlled structural modification, with intergrown alumina acting as a physical cross‐linker that stabilizes the laminar structure.
Junhyeok Kang, Hwayong Lee, Suseong Hyun, Jiwon Kim, Ju Yeon Kim, Jeongyeob Oh, Yunseong Ji, Byungchan Han, Dae Woo Kim   +8 more
wiley   +1 more source

MAGTWIST: A Magnetically‐Driven Rotary Actuator Using a Traveling‐Wave With Integrated Stiffness Tunability

Advanced Functional Materials, EarlyView.
MAGTWIST: A compact magnetic rotary actuator, enabling smooth, stepless rotation, and on‐demand locking. Inspired by peristalsis, a soft polymer belt generates a traveling‐wave, enabling 270° rotation when heated. Cooling stiffens the belt, locking it in position and enabling it to withstand high loads.
Simon Frieler, Jean‐Paul P.M. de Vries, Sarthak Misra, Venkatasubramanian Kalpathy Venkiteswaran   +3 more
wiley   +1 more source

From Latent Manifolds to Targeted Molecular Probes: An Interpretable, Kinome-Scale Generative Machine Learning Framework for Family-Based Kinase Ligand Design. [PDF]

Biomolecules
Verkhivker G, Kassab R, Krishnan K.
europepmc   +1 more source

Bioinspired Stabilization of Fluorescent Au@SiO2 Tracers for Multimodal Biological Imaging

Advanced Functional Materials, EarlyView.
This study demonstrates a bioinspired stabilization strategy for fluorescent gold‐silica nanoparticles. Inspired by natural biosilica maturation, high‐temperature calcination transforms the silica shells, preventing dissolution in cell culture media and intracellular environments.
Wang Sik Lee, Henry Lee, Patricia Taladriz‐Blanco, Dimitri Vanhecke, Barbara Rothen‐Rutishauser, Alke Petri‐Fink   +5 more
wiley   +1 more source

Autonomous navigation in unstructured outdoor environments using semantic segmentation guided reinforcement learning. [PDF]

Sci Rep
Tibermacine A, Tibermacine IE, Akrour D, Rabehi A, Habib M.   +4 more
europepmc   +1 more source

Programmable In‐Situ Interactions Between Resins and Photopolymerized Structures for Seamlessly Integrated Optical Manufacturing of Microlenses

Advanced Functional Materials, EarlyView.
This study presents a dynamic interaction between liquid resins and photopolymerized structures enabled by an in situ light‐writing setup. By controlling a three‐phase interface through localized photopolymerization, which provides physical confinement for the remaining uncured resin regions, the approach establishes a programmable pathway that ...
Kibeom Kim, Sangmin Oh, Kahyun Hur, Hyesung Cho   +3 more
wiley   +1 more source

ChemTorch: A Deep Learning Framework for Benchmarking and Developing Chemical Reaction Property Prediction Models. [PDF]

J Chem Inf Model
De Landsheere J, Zamyatin A, Karwounopoulos J, Heid E.   +3 more
europepmc   +1 more source