SPARK decodes structure‐property relationships in anion exchange membranes (AEMs) via a chemically informed dual‐channel graph attention network (DEGAT) that explicitly captures microphase separation. It outputs five‐level grades for hydroxide conductivity and alkaline stability and highlights relevant key structural units, enabling robust pre ...
Wanting Chen +6 more
wiley +1 more source
Sono‐Mechanogenetics: Linking Ultrasound Physics With Cellular Mechanobiology
Sono‐mechanogenetics links ultrasound physics with cellular mechanotransduction to enable noninvasive control of engineered biological systems. Acoustic forces generate distinct deformation modes that activate intracellular signaling pathways, which can be coupled to synthetic gene circuits to regulate diverse cellular functions, including gene ...
Yunjia Qu +4 more
wiley +1 more source
The Polymers of Life: Exploring Cellular Function Through Polymer Concepts
Biomolecular phase separation reveals that a hidden layer of cellular organization is governed by the principles of polymer science. This review bridges polymer physics and cell biology, offering a primer on fundamental concepts, proposing a framework for interrogating cellular function, and synthesizing biophysical methods for decoding macromolecular ...
Mark Chen, Ashutosh Chilkoti
wiley +1 more source
Recent Advances in Zirconium‐Based Metal–Organic Framework Membranes for Desalination
Zirconium‐based metal–organic framework membranes with tunable pore architectures, defect chemistry, and surface functionalities for Desalination are systematically reviewed. Their fabrication strategies, desalination performance across pressure‐driven, forward osmosis, and pervaporation processes, and structure–property–performance relationships are ...
Mao Fu +7 more
wiley +1 more source
CMOS‐Integrated Synaptic Photoreceptor Chip Inspired by Insect Visual Processing
CMOS‐integrated Si QDs/ReS2 synaptic photoreceptor array mimics the parallel processing and wavelength‐selective strategy of insect vision. By combining intrinsic ultraviolet‐violet sensitivity with synaptic plasticity, the chip enables frontend sensory redundancy reduction without external filters, offering a scalable pathway toward lowpower ...
Jian Chai +25 more
wiley +1 more source
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
Intelligent identification and warning method of disc cutter abnormal wear in TBM construction based on extreme learning machine. [PDF]
Li Q, Du L, Yang Y, Ni Z, Zhao X.
europepmc +1 more source
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting. [PDF]
Samadi-Koucheksaraee A, Chu X.
europepmc +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source

