The occurrence and progression of colorectal cancer are intricately linked to metabolites produced by the gut microbiota. Metabolites generated by pathogenic microbial communities can promote colorectal cancer development by reshaping the immune microenvironment.
Xinrui Yang +3 more
wiley +1 more source
Physics-Informed Neural Networks for Thermo-Responsive Hydrogel Swelling: Integrating Constitutive Models with Sparse Experimental Data. [PDF]
Takmili SA +3 more
europepmc +1 more source
Fullerenes tend to alloy with polymer:nonfullerene acceptor hosts, yielding composition‐dependent increases in open‐circuit voltage while recombination remains governed by the charge‐transfer state energy and is independent of the nature of the third component.
Dominic Blätte +14 more
wiley +1 more source
Robust Physics-Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data. [PDF]
Srikitrungruang T +4 more
europepmc +1 more source
Buckling and collapse of heavy tubes resting on a horizontal or inclined plane [PDF]
Antman +21 more
core +1 more source
Photo‐Excitations in Halide Perovskites: Where Do Simulations and Experiments Meet?
Aiming to bridge the gap between simulations and measurements of light–matter couplings and photo‐excitations in new functional materials, this perspective highlights insights and bottlenecks of state‐of‐the‐art experimental and theoretical methods (2D electronic spectroscopy vs.
Muhammad Sufyan Ramzan +5 more
wiley +1 more source
On the mathematical structure and numerical solution of discrete-continuous optimization problems in DDCM. [PDF]
Gebhardt CG, Lange S, Steinbach MC.
europepmc +1 more source
This paper demonstrates a snapshot 5D and modality‐switchable lensless camera (Diffuser‐mCam), which can encode 2D intensity, multi‐spectral, polarization, and time information into a monochromatic raw data, and subsequently decode it using the compressed sensing algorithm at the sampling rate of 2.5% per channel.
Ze Zheng +11 more
wiley +1 more source
Information-distilled physics informed deep learning for high order differential inverse problems with extreme discontinuities. [PDF]
Peng M, Tang H.
europepmc +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source

